50+ Data Analytics Jobs in India
Apply to 50+ Data Analytics Jobs on CutShort.io. Find your next job, effortlessly. Browse Data Analytics Jobs and apply today!
Required Skills: Customer Segmentation & Personalization, CRM & Lifecycle Marketing, Data Analysis & KPI Reporting, A/B Testing & Experimentation, Funnel & Journey Optimization
Criteria:
- Candidate should have Experience: 4–6 years in CRM & Lifecycle Marketing for digital-first/app-based platforms.
- Preferred Industry Exposure: Gaming / OTT / E-commerce
- Proven ability to own end-to-end lifecycle metrics such as activation, retention, churn reduction, or reactivation
- Strong hands-on experience with CRM automation platforms such as Clevertap, MoEngage, Braze, or WebEngage
- Expertise in user segmentation, cohort creation, and personalized targeting based on behavioral and transactional data
- Experience in managing cross-channel campaigns (Push, WhatsApp, SMS, Email, RCS, In-app) with a focus on ROI and spend optimization
- Proficient in data analysis, funnel tracking, KPI reporting, and deriving insights (DAU, WAU, retention %, churn, watch conversion)
- Hands-on experience with A/B testing, experiments, holdout groups, and iterative optimization
- Strong understanding of journey mapping and funnel optimization, with the ability to identify drop-offs and improve user progression
- Candidates must have a 70% strategy + 30% execution mindset, ideally from reputable consumer brands.
Description
We are looking for a CRM & Lifecycle Marketing Manager to own and drive key user lifecycle metrics at company. The ideal candidate is data-driven, detail-oriented, and experienced in executing CRM campaigns and automation journeys that drive activation, retention, and engagement.
This is a high-impact, ownership-driven role where you’ll be responsible for defining, executing, and optimizing end-to-end CRM strategies using platforms like Clevertap, MoEngage, or WebEngage.
Key Responsibilities:
1. End-to-end metric ownership Be fully accountable for a defined lifecycle KPI (e.g., activation, D7 retention, churn rate) — set targets, build roadmap, deliver improvements and own outcomes.
2. Campaign setup & CRM operations (Clevertap / Braze / etc.) Build, configure, QA and execute campaigns and automated journeys in the CRM platform (Clevertap or equivalent) — audience selection, triggers, scheduling, tagging, and delivery monitoring.
3. Segmentation & personalization Define behavioural and transactional cohorts, implement dynamic personalization rules, and maintain audience hygiene to ensure relevance and lift.
4. Experimentation & optimization Design and run A/B and holdout experiments, analyse uplift, and iterate on messaging, timing and frequency to maximize impact.
5. Analysis, reporting & cross-functional alignment Track and interpret campaign and funnel metrics, maintain dashboards, produce concise insights and recommendations, and coordinate with Product, Data and CX for dependencies and fixes.
Key Expected Outcomes:
1. Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.
2. High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.
3. Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.
4. Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.
5. Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.
Requirements:
● End-to-end Lifecycle Ownership – ability to plan, execute, and measure campaigns for a defi ned metric or stage (e.g., activation, retention).
● CRM Automation Expertise – hands-on execution using tools like Clevertap ,MoEngage, WebEngage
● User Segmentation & Targeting – defi ning cohorts based on behaviour, subscription status, and engagement data.
● Cross-channel Campaign Management – executing communication via push, WhatsApp, SMS, RCS, email, and in-app along with Spends optimization
● Data Analysis & Reporting – tracking key KPIs and metrics (eg. DAU, WAU, retention %, watch conversion, churn) and deriving insights along with RCA
● A/B Testing & Experimentation – Continuously ideating, setting up and evaluating experiments to improve conversion and retention.
● Journey & Funnel Optimization – identifying drop-offs and improving user progression through lifecycle stages.
● Copy & Creative Collaboration – working with content/design teams to ensure messaging relevance and clarity.
● Stakeholder Collaboration – aligning with product, CX, Content and data teams for execution dependencies.
● Ownership Mindset – accountable for end outcomes and continuously optimizing performance of the assigned metric.
What will be the success metric for this role?
● Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.
● High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.
● Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.
● Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.
● Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.
About QX: The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization. Job Summary: We are seeking an experienced and driven Technical Project Manager / Technical Delivery Manager to lead complex, high-impact data analytics and data science projects for global clients. This role demands a unique blend of project management expertise, technical depth in cloud and data technologies, and the ability to collaborate across cross-functional teams. You will be responsible for ensuring the successful delivery of data platforms, data products, and enterprise analytics solutions that drive business value. Key Responsibilities: Project & Delivery Management • Lead the full project lifecycle for enterprise-scale data platforms—including requirement gathering, development, testing, deployment, and post-production support. • Own the delivery of Data Warehousing and Data Lakehouse solutions on cloud platforms (Azure, AWS, or GCP). • Prepare and maintain detailed project plans (Microsoft Project Plan) and align them with the Statement of Work (SOW) and client expectations. • Utilize hybrid project methodologies (Agile + Waterfall) for managing scope, budget, and timelines. • Monitor key project KPIs (e.g., SLA, MTTR, MTTA, MTBF) and ensure adherence using tools like ServiceNow. Data Platform & Architecture Oversight • Collaborate with data engineers and architects to guide the implementation of scalable Data Warehouses (e.g., Redshift, Synapse) and Data Lakehouse architectures (e.g., Databricks, Delta Lake). • Ensure data platform solutions meet performance, security, and governance standards. • Understand and help manage data integration pipelines, ETL/ELT processes, and BI/reporting requirements. Client Engagement & Stakeholder Management • Serve as the primary liaison for US/UK clients; manage regular status updates, escalation paths, and expectations across stakeholders. • Conduct WSRs, MSRs, and QBRs with clients and internal teams to drive transparency and performance reviews. • Facilitate team meetings, highlight risks or blockers, and ensure consistent stakeholder alignment. Technical Leadership & Troubleshooting • Provide hands-on support and guidance in data infrastructure troubleshooting using tools like Splunk, AppDynamics, and Azure Monitor. • Lead incident, problem, and change management processes with data platform operations in mind. • Identify automation opportunities and propose technical process improvements across data pipelines and workflows. Governance, Documentation & Compliance • Create and maintain SOPs, runbooks, implementation documents, and architecture diagrams. • Manage project compliance related to data privacy, security, and internal/external audits. • Initiate and track Change Requests (CRs) and look for revenue expansion opportunities with clients. Continuous Improvement & Innovation • Participate in and lead at least three internal processes: optimization or innovation initiatives annually. • Work with engineering, analytics, and DevOps teams to improve CI/CD pipelines and data delivery workflows. • Monitor production environments to reduce deployment issues and improve time-to-insight. Must Have: • 10+ years of experience in technical project delivery, with strong focus on data analytics, BI, and cloud data platforms. • Strong hands-on experience with SQL and data warehouse technologies like Snowflake, Synapse, Redshift, BigQuery, etc. • Proven experience delivering Data Warehouse and Data Lakehouse solutions. • Familiarity with tools such as Redshift, Synapse, BigQuery, Databricks, Delta Lake. • Strong cloud knowledge with Azure, AWS, or GCP. • Proficiency in project management tools like Microsoft Project Plan (MPP), JIRA, Confluence, and ServiceNow. • Expertise in Agile project methodologies. • Excellent communication skills—both verbal and written—with no MTI or grammatical errors. • Hands-on experience working with global delivery models (onshore/offshore). Good-to-Have: • PMP or Scrum Master certification. • Understanding of ITIL processes and DataOps practices. • Experience managing end-to-end cloud data transformation projects. • Experience in project estimation, proposal writing, and RFP handling. Competencies: • Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. • Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. • Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. • Customer Focus - Building strong customer relationships and delivering customer-centric solutions. • Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Why Join Us? • Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. • Work on impactful projects that make a difference across industries. • Opportunities for professional growth and continuous learning. • Competitive salary and benefits package. Application Details Ready to make an impact? Apply today and become part of the QX Impact team!
REQUIRED SKILLS:
Project Management, Data Analysis, SQL queries, Client Engagement
MANDATORY CRITERIA:
- Should have at least 1 to 3 years of project/program management experience in Financial Services / Banking / NBFC / Fintech companies only.
- Hands-on proficiency in data analysis and SQL querying, with ability to work on large datasets
- Ability to lead end-to-end implementation projects and manage cross-functional teams effectively.
- Experience in process analysis, optimization, and mapping for operational efficiency.
- Strong client-facing communication and stakeholder management capabilities.
- Good expertise in financial operations processes and workflows with proven implementation experience.
DESCRIPTION:
About the company:
The company is a leading provider of financial operation solutions, dedicated to helping organizations streamline their financial processes and achieve operational excellence. Our innovative platform empowers clients to automate complex operations, ensuring accuracy and efficiency in their financial operations.
POSITION OVERVIEW:
We are seeking a dynamic and experienced Technical Program Manager to join our team. The successful candidate will be responsible for managing the implementation of company’s solutions at existing and new clients. This role requires a deep understanding of financial operation processes, exceptional problem-solving skills, and the ability to analyze large volumes of data. The Technical Program manager will drive process excellence and ensure outstanding customer satisfaction throughout the implementation lifecycle and beyond.
KEY RESPONSIBILITIES:
- Client Engagement: Serve as the primary point of contact for assigned clients, understanding their unique operation processes and requirements. Build and maintain strong relationships to facilitate successful implementations.
- Project Management: Lead the end-to-end implementation of company's solutions, ensuring projects are delivered on time, within scope, and within budget. Coordinate with cross-functional teams to align resources and objectives.
- Process Analysis and Improvement: Evaluate clients' existing operation workflows, identify inefficiencies, and recommend optimized processes leveraging company’s platform. Utilize process mapping and data analysis to drive continuous improvement.
- Data Analysis: Analyze substantial datasets to ensure accurate configuration and integration of company's solutions. Employ statistical tools and SQL-based queries to interpret data and provide actionable insights.
- Problem Solving: Break down complex problems into manageable components, developing effective solutions in collaboration with clients and internal teams.
- Process Excellence: Advocate for and implement best practices in process management, utilizing methodologies such as Lean Six Sigma to enhance operational efficiency.
- Customer Excellence: Ensure a superior customer experience by proactively addressing client needs, providing training and support, and promptly resolving any issues that arise.
QUALIFICATIONS:
- 1 to 3 years of experience in project management, preferably in financial services, software implementation, consulting or analytics.
- Strong analytical skills with experience in data analysis, SQL querying, and handling large datasets.
- Excellent communication and interpersonal skills, with the ability to manage client relationships effectively.
- Demonstrated ability to lead cross-functional teams and manage multiple projects concurrently.
- Proven expertise in financial operation processes and related software solutions is a plus
- Proficiency in developing business intelligence solutions or with low-code tools is a plus
WHY JOIN US?
- Opportunity to work with a cutting-edge financial technology company.
- Collaborative and innovative work environment.
- Competitive compensation and benefits package.
- Professional development and growth opportunities.
Required Skills: B2B SaaS Marketing Expertise, Leadership & Cross-Functional Collaboration, Performance Marketing & Automation Skills, Branding, Content & Communication Skills, Analytical & Data-Driven Decision Making
Criteria:
1. Must have 5–10 years of B2B SaaS marketing experience (non-negotiable).
2. Must have hands-on ownership of strategy + execution (leadership role, not managerial).
3. Must have strong digital marketing expertise (Google Ads, Meta Ads, SEO/SEM, email, social).
4. Must have proven lead generation experience for global and regional B2B SaaS markets.
5. Must be able to manage marketing budgets, ROI, and performance reporting independently.
6. Must have strong performance marketing and analytics skills.
7. Must have excellent English communication and presentation skills.
8. Must understand core SaaS metrics (MRR, ARR, CAC, LTV, etc.).
Description:
Profile Overview
- The Marketing Head will develop, lead, and execute innovative marketing strategies that accelerate brand visibility, drive qualified global and regional leads, and directly contribute to revenue and market share growth.
- Reporting, event presentations, marketing roadmap planning, P&L, and ROI reporting are to be managed independently.
- This role demands strong leadership, cross-functional collaboration, advanced digital expertise, and complete ownership of performance outcomes.
- Note: This is not a managerial role — it is a leadership position requiring strategic ownership and hands-on execution.
- B2B SaaS experience is mandatory.
Roles & Responsibilities:
- Develop and execute integrated marketing strategies to enhance brand visibility and generate qualified leads across domestic and international B2B SaaS markets.
- Lead and mentor a multi-functional marketing team, fostering a performance-driven, creative, and data-oriented culture.
- Oversee all digital marketing initiatives — including Google Ads, Meta Ads, SEO/AISEO/SEM, email campaigns, and social media marketing — ensuring measurable ROI.
- Direct branding and messaging across multiple regions, ensuring local adaptability and consistency with global standards.
- Collaborate closely with Sales, Product, and Customer Success teams to design campaigns that align with business objectives and drive revenue growth.
- Plan and manage marketing budgets effectively, ensuring optimal allocation and tracking of performance metrics.
- Lead content creation efforts — including blogs, case studies, newsletters, and product collaterals — in coordination with internal and external stakeholders.
- Research and identify new market opportunities, trends, and competitors to support data-driven decision-making.
- Plan and execute product launches, webinars, events, and partnerships that strengthen YCS’s position as a global B2B hospitality SaaS leader.
- Work with the global marketing team of company to align regional campaigns with the global brand strategy.
- Prepare detailed performance reports and present actionable insights to the management team monthly, quarterly, and annually.
Key Competencies:
- Marketing Expertise: Proven track record with 5–10 years of experience in digital and strategic marketing within a B2B SaaS environment (mandatory), ideally in hospitality tech.
- Leadership & Collaboration: Experience leading a small marketing team and working cross-functionally with sales and product teams.
- Performance Marketing: Proficiency in tools like Google Ads, Meta Ads, HubSpot, Zoho, or similar platforms to drive and optimize campaigns.
- Content & Branding Skills: Strong storytelling, creative thinking, and understanding of brand positioning across multiple markets.
- Analytical Skills: Ability to interpret campaign data, measure ROI, and adjust strategies for maximum impact.
- Communication: Excellent written and verbal communication in English; additional language fluency is a plus.
- Time Management: Capable of managing multiple projects simultaneously in a fast-paced environment.
- Ownership: A true leader — not a manager.
Requirements:
- Bachelor’s or master’s degree in marketing, Business Administration, or a related field.
- Minimum 5–10 years of experience in digital marketing or brand management, with B2B SaaS experience being mandatory.
- Proven success in lead generation, campaign management, and marketing analytics.
- Strong understanding of B2B marketing dynamics and SaaS business models.
- Excellent presentation, negotiation, and interpersonal skills.
- Self-motivated, detail-oriented, and adaptable to changing priorities.
- Proficiency with CRM and marketing automation tools.
- Background in marketing hospitality SaaS products (PMS, RMS, OTA, Channel Managers, Distribution) preferred. Familiarity with advanced analytics tools (Power BI, Tableau, Segment, etc.).
- Experience tracking and managing key SaaS metrics — MRR, ARR, CAC, LTV, RAOS, ARPA, etc.
Required Skills: Problem solving and decision-making skills, Manage user engagement, Strong Data Analytics, Excellent Communication & Stakeholder Management, Product Strategy
Review Criteria
· Candidate must have 3–5 years of experience as a Product Manager in Growing Startups or Product-based companies, with proven experience in a B2C product environment.
· Candidate should have hands-on experience across the complete product lifecycle, including product vision and roadmap creation, requirement gathering and PRD documentation, feature prioritization and planning, execution with engineering teams and post-launch iterations.
· Candidate must possess strong analytical and data-driven decision-making skills, with the ability to define and track product metrics and KPIs to measure success.
· Candidate should have significant experience collaborating with UX/UI and design teams, including user research, prototyping, and A/B testing to enhance user experience.
· Candidate must have a proven track record of working effectively with cross-functional teams, demonstrating strong communication and stakeholder management skills.
· Candidate should have experience developing and implementing user retention, engagement, and activation strategies to drive product growth and customer loyalty.
Profile Overview:
Job Summary
As a Product Manager, you will play a pivotal role in shaping the user experience and driving sustained engagement. You will be responsible for developing and executing strategies to retain existing users, reactivate dormant users, and enhance overall user satisfaction.
What Will You Do?
- Take end-to-end ownership of the product — identify market requirements, define the product vision, create design concepts, and shape the product roadmap.
- Lead the entire product development lifecycle, from ideation to launch, ensuring timely delivery of high-quality features.
- Collaborate with engineering teams to translate product requirements into technical specifications.
- Work with key stakeholders to define and prioritize product features and enhancements.
- Conduct market research and competitive analysis to identify emerging trends and innovation opportunities.
- Stay informed about industry developments and competitor products to maintain company’s competitive edge.
- Champion user-centric design principles, collaborating with UX/UI teams to create seamless, intuitive user experiences.
- Gather and incorporate user feedback to drive continuous improvement in design and functionality.
- Partner with Marketing to develop go-to-market strategies for new features and product launches.
What You Bring
- Bachelor’s degree in Engineering or Computer Science
- 3+ years of proven experience as a Product Manager in the B2C segment
- Prior experience in the OTT / Streaming industry is highly preferred
- Strong analytical and problem-solving skills with a data-driven mindset
- Excellent communication and interpersonal skills, with the ability to influence and collaborate across teams
- Demonstrated ability to manage multiple projects in a fast-paced environment
Life at Company
We are a team of passionate individuals driven by the mission of creating pride in regional dialects. Every team member is customer-obsessed and treats every challenge as their own.
Working at company means contributing to a purpose-driven mission — not just a role, but a movement.
We understand that pushing boundaries takes effort, which is why we offer an unlimited leave policy, built on trust and accountability, allowing our employees to balance personal well-being with professional purpose.
Who is an ideal fit for us?
We seek professionals who are analytical, demonstrate self-motivation, exhibit a proactive mindset, and possess a strong sense of responsibility and ownership in their work.
What will you get to work on?
As a member of the Implementation & Analytics team, you will:
● Design, develop, and optimize complex SQL queries to extract, transform, and analyze data
● Create advanced reports and dashboards using SQL, stored procedures, and other reporting tools
● Develop and maintain database structures, stored procedures, functions, and triggers
● Optimize database performance by tuning SQL queries, and indexing to handle large datasets efficiently
● Collaborate with business stakeholders and analysts to understand analytics requirements
● Automate data extraction, transformation, and reporting processes to improve efficiency
What do we expect from you?
For the SQL/Oracle Developer role, we are seeking candidates with the following skills and Expertise:
● Proficiency in SQL (Window functions, stored procedures) and MS Excel (advanced Excel skills)
● More than 3 plus years of relevant experience
● Java / Python experience is a plus but not mandatory
● Strong communication skills to interact with customers to understand their requirements
● Capable of working independently with minimal guidance, showcasing self-reliance and initiative
● Previous experience in automation projects is preferred
● Work From Office: Bangalore/Navi Mumbai/Pune/Client locations
MANDATORY CRITERIA:
- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.
- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.
- Candidate must have strong hands-on experience in Product + Data Analysis + Python.
- Candidate should have Python skill on the scale of 3/5 at least.
- Proficiency in SQL and ability to work with large datasets.
- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.
- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).
- Candidate must have experienece in Jira.
- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.
OVERVIEW:
As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.
WHAT YOU WILL DO?
● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.
● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.
● Performing competitive benchmarking and industry research to support product strategy and prioritization.
● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.
● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.
● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).
● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.
● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.
WHAT WE ARE LOOKING FOR?
● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.
● Strong analytical, quantitative, and problem-solving skills.
● Proficiency in SQL and ability to work with large datasets.
● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).
● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.
● Ability to work collaboratively in cross-functional teams.
● Passion for product, user behavior, and data-driven decision-making
● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.
● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).
● Understanding of product management concepts and tools (Jira, Confluence, etc.).
● Knowledge of Python or R for data analysis (optional but beneficial).
● Exposure to consumer tech, mobility, travel, or marketplaces.
MANDATORY CRITERIA:
- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.
- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.
- Candidate must have strong hands-on experience in Product + Data Analysis + Python.
- Candidate should have Python skill on the scale of 3/5 at least.
- Proficiency in SQL and ability to work with large datasets.
- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.
- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).
- Candidate must have experienece in Jira.
- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.
OVERVIEW:
As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.
WHAT YOU WILL DO?
● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.
● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.
● Performing competitive benchmarking and industry research to support product strategy and prioritization.
● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.
● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.
● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).
● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.
● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.
WHAT WE ARE LOOKING FOR?
● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.
● Strong analytical, quantitative, and problem-solving skills.
● Proficiency in SQL and ability to work with large datasets.
● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).
● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.
● Ability to work collaboratively in cross-functional teams.
● Passion for product, user behavior, and data-driven decision-making
● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.
● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).
● Understanding of product management concepts and tools (Jira, Confluence, etc.).
● Knowledge of Python or R for data analysis (optional but beneficial).
● Exposure to consumer tech, mobility, travel, or marketplaces.
Review Criteria
- Strong Product Manager Profiles
- 4+ years of product management experience, of which 2+ years in healthcare, pharmaceutical, life sciences, or AdTech domains
- Must have built or scaled products involving Data Science, Machine Learning, or AI
- Must have experience working end-to-end on product lifecycle — strategy, roadmap, development execution, stakeholder alignment, user research, product optimization, and adoption (0 to 1 product experience is preferred)
- Hands-on experience collaborating with engineering, data science, design, supply teams, and demand-side teams on parallel product initiatives
- Strong understanding of demand-side and supply-side mechanisms, programmatic advertising, data intelligence products, or marketplace platforms
- Experience in companies serving Healthcare Professionals (HCPs), Pharma, Life Sciences, or HealthTech advertising is a must
- Product companies (preferably in HealthTech)
- CTC includes 20% variable
- HealthTech exposure is a must (current or past experience)
- It’s an IC role
Preferred
- Experience working on AI-driven features such as predictive models, segmentation, personalization, or automated optimization.
Job Specific Criteria
- CV Attachment is mandatory
- What is your preferred location — Noida or Mumbai?
- If you’re based in Mumbai, are you comfortable traveling to the Noida office for one week each month?
- Are you available for an in-person interview for one of the rounds?
- Which HealthTech company(ies) you have worked for?
Role & Responsibilities
We are seeking a strategic and innovative Product Manager to lead the development and growth of our DataIQ and Marketplace products. This role is pivotal in driving the vision, strategy, and execution of our data intelligence and digital commerce platforms, ensuring they deliver exceptional value to our users and stakeholders.
Key Responsibilities-
Product Strategy & Vision:
- Define and articulate the product vision and roadmap for DataIQ and Marketplace, aligning with company objectives and market needs.
- Conduct market research and competitive analysis to identify opportunities for innovation and differentiation.
- Collaborate with stakeholders to prioritize features and initiatives that drive business impact and user satisfaction.
Product Development & Execution:
- Lead the end-to-end product development lifecycle, from ideation through to launch and iteration.
- Work closely with engineering, design, and data teams to deliver high-quality products on time and within scope.
- Develop clear and concise product documentation, including PRDs, user stories, and acceptance criteria.
User Experience & Enablement:
- Ensure a seamless and intuitive user experience across both DataIQ and Marketplace platforms.
- Collaborate with UX/UI teams to design user-centric interfaces that enhance engagement and usability.
- Provide training and support materials to enable users to maximize the value of our products.
Performance Monitoring & Optimization:
- Define and track key performance indicators (KPIs) to measure product success and inform decision-making.
- Analyze user feedback and product data to identify areas for improvement and optimization.
- Continuously iterate on product features and functionalities to enhance performance and user satisfaction.
Ideal Candidate
Experience & Skills:
- Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
- 4+ years of experience, with a proven track record in data intelligence or digital commerce products.
- Strong understanding of data analytics, cloud technologies, and e-commerce platforms.
- Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
- Analytical mindset with the ability to leverage data to drive product decisions.
Nice-to-Haves:
- Experience with machine learning or AI-driven product features.
- Familiarity with data governance and privacy regulations.
- Knowledge of marketplace dynamics and seller/buyer ecosystems.
AccioJob is conducting a Walk-In Hiring Drive with an Information Services Company for the position of Data Analyst.
Note: The company is seeking candidates with excellent communication skills and will be hiring only female candidates for this role.
To apply, register and select your slot here: https://go.acciojob.com/6hWTd2
Required Skills: Statistics, Data Analysis, Data Visualization, Excel
Eligibility:
- Degree: All
- Branch: All
- Graduation Year: All
Work Details:
- Work Location: Gurgaon (Onsite)
- CTC: 3.27 LPA
Evaluation Process:
Round 1: Offline Assessment at AccioJob Noida Centre
Further Rounds (for shortlisted candidates only):
Profile Evaluation, Programming Test, Coding Assignment, Technical Interview 1
Important Note: Bring your laptop & earphones for the test.
Register here: https://go.acciojob.com/6hWTd2
FAST SLOT BOOKING
[ DOWNLOAD ACCIOJOB APP ]
Must have Strong SQL skills (queries, optimization, procedures, triggers)
Must have Advanced Excel skills
Should have 3+ years of relevant experience
Should have Reporting + dashboard creation experience
Should have Database development & maintenance experience
Must have Strong communication for client interactions
Should have Ability to work independently
Willingness to work from client locations
Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.
Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.
Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.
About Ven Analytics
At Ven Analytics, we don’t just crunch numbers — we decode them to uncover insights that drive real business impact. We’re a data-driven analytics company that partners with high-growth startups and enterprises to build powerful data products, business intelligence systems, and scalable reporting solutions. With a focus on innovation, collaboration, and continuous learning, we empower our teams to solve real-world business problems using the power of data.
Role Overview
We’re looking for a Power BI Data Analyst who is not just proficient in tools but passionate about building insightful, scalable, and high-performing dashboards. The ideal candidate should have strong fundamentals in data modeling, a flair for storytelling through data, and the technical skills to implement robust data solutions using Power BI, Python, and SQL..
Key Responsibilities
- Technical Expertise: Develop scalable, accurate, and maintainable data models using Power BI, with a clear understanding of Data Modeling, DAX, Power Query, and visualization principles.
- Programming Proficiency: Use SQL and Python for complex data manipulation, automation, and analysis.
- Business Problem Translation: Collaborate with stakeholders to convert business problems into structured data-centric solutions considering performance, scalability, and commercial goals.
- Hypothesis Development: Break down complex use-cases into testable hypotheses and define relevant datasets required for evaluation.
- Solution Design: Create wireframes, proof-of-concepts (POC), and final dashboards in line with business requirements.
- Dashboard Quality: Ensure dashboards meet high standards of data accuracy, visual clarity, performance, and support SLAs.
- Performance Optimization: Continuously enhance user experience by improving performance, maintainability, and scalability of Power BI solutions.
- Troubleshooting & Support: Quick resolution of access, latency, and data issues as per defined SLAs.
- Power BI Development: Use power BI desktop for report building and service for distribution
- Backend development: Develop optimized SQL queries that are easy to consume, maintain and debug.
- Version Control: Strict control on versions by tracking CRs and Bugfixes. Ensuring the maintenance of Prod and Dev dashboards.
- Client Servicing : Engage with clients to understand their data needs, gather requirements, present insights, and ensure timely, clear communication throughout project cycles.
- Team Management : Lead and mentor a small team by assigning tasks, reviewing work quality, guiding technical problem-solving, and ensuring timely delivery of dashboards and reports..
Must-Have Skills
- Strong experience building robust data models in Power BI
- Hands-on expertise with DAX (complex measures and calculated columns)
- Proficiency in M Language (Power Query) beyond drag-and-drop UI
- Clear understanding of data visualization best practices (less fluff, more insight)
- Solid grasp of SQL and Python for data processing
- Strong analytical thinking and ability to craft compelling data stories
- Client Servicing Background.
Good-to-Have (Bonus Points)
- Experience using DAX Studio and Tabular Editor
- Prior work in a high-volume data processing production environment
- Exposure to modern CI/CD practices or version control with BI tools
Why Join Ven Analytics?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture and focus on career development.
Alpha Design Technologies is hiring BE Freshers!
6-Month Internship
We’re looking for enthusiastic BE graduates who are good with numbers, data management, and HR reporting to join our Talent Acquisition / HR Operations team.
Who can apply:
BE Freshers (any stream)
Strong with numbers & Excel
Detail-oriented and eager to learn
Review Criteria
- Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
- 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
- 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
- Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
- Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
- Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
- Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
- Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.
Preferred
- Ability to build insightful dashboards and executive reports highlighting user engagement, retention, and behavioral metrics; familiarity with mixed-method research, AI-assisted insight tools (Dovetail, EnjoyHQ, Qualtrics, UserZoom), and mentoring junior researchers
Job Specific Criteria
- CV Attachment is mandatory
- We have an alternate Saturday’s working. Are you comfortable to WFH on 1st and 4th Saturday?
Role & Responsibilities
Product Conceptualization & UX Strategy Development:
- Conceptualize customer experience strategies
- Collaborate with product managers to conceptualize new products & align UX with product roadmaps.
- Develop and implement UX strategies that align with business objectives.
- Stay up-to-date with industry trends and best practices in UX & UI for AI.
- Assist in defining product requirements and features.
- Use data analytics to inform product strategy and prioritize features.
- Ensure product alignment with customer needs and business goals.Develop platform blueprints that include a features and functionalities map, ecosystem map, and information architecture.
- Create wireframes, prototypes, and mock-ups using tools like Figma
- Conduct usability testing and iterate designs based on feedback
- Employ tools like X-Mind for brainstorming and mind mapping
Customer Journey Analysis:
- Understand and map out customer journeys and scenarios.
- Identify pain points and opportunities for improvement.
- Develop customer personas and empathy maps.
Cross-Functional Collaboration:
- Work closely with internal units such as UX Research, Design, UX Content, and UX QA to ensure seamless delivery of CX initiatives.
- Coordinate with development teams to ensure UX designs are implemented accurately.
Data Analytics and Tools:
- Utilize clickstream and analytics tools like Google Analytics, CleverTap, and Medallia to gather and analyse user data.
- Leverage data to drive decisions and optimize customer experiences.
- Strong background in data analytics, including proficiency in interpreting complex datasets to inform UX decisions.
Ideal Candidate
- Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
- 5+ years of experience in CX/UX roles, preferably in a B2C environment.
- Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
- Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
- Excellent communication and collaboration skills.
- Proven experience in managing cross-functional teams and projects.
- Strong background in data analytics and data-driven decision-making.
- Expert understanding of user experience and user-centered design approaches
- Detail-orientation with experience and will to continuously learn, adapt and evolve
- Creating and measuring the success and impact of your CX designs
- Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
- Experienced in designing responsive websites as well as mobile apps
- Understanding of iOS and Android design guidelines
- Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
- Excellent communication skills to be able to present their work and ideas to the leadership team.
Role Summary
We’re seeking a seasoned Azure Data Engineer / Consultant to lead design, build, and operationalize cloud-native data solutions. You’ll partner with external clients—from discovery through Go-Live—to ingest, model, transform, and serve high-volume data using Synapse, Fabric, PySpark, and SQL. You’ll also establish best practices around CI/CD, security, and data quality within a medallion architecture.
Required Skills (at least 4+ years of relevant experience - this is a senior-level role)
- Ability to talk to the customer
- Manage the delivery of an End-To-End Enterprise project
- Fabric (or Synapse/ADF/Databricks) Data Engineering background
- Data Warehousing experience
- Basic understanding of Agentic AI
Preferred Skills & Certifications:
- DP-600, DP-700 or equivalent certification.
- Experience with Azure Purview, Data Catalogs, or metadata management tools.
- Familiarity with orchestration frameworks (ADF, Synapse Pipelines), Spark optimization (broadcast joins, partition pruning), and data-quality frameworks (Great Expectations, custom).
- Prior consulting or client-facing engagements in enterprise environments.
- Knowledge of BI tools (Power BI).
What We Offer:
- Opportunity to own and shape cutting-edge data solutions for diverse industries.
- Collaborative, outcome-driven culture with career growth and skill-building opportunities.
- Flexible hours and remote-first work model.
- Competitive compensation and benefits package.
Knowledge & Experience:
- Providing Technical leadership and guidance to Teams In Data and Analytics engineering solutions and platforms
- Strong problem-solving skills and the ability to translate business requirements into actionable data science solutions.
- Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
- Strong team player with excellent interpersonal and collaboration skills.
- Ability to manage multiple projects simultaneously and deliver high-quality results within specified timelines.
- Proven ability to work collaboratively in a global, matrixed environment and engage effectively with global stakeholders across multiple business groups.
Relevant Experience:
- 12+ years of IT experience in delivering medium-to-large data engineering, and analytics solutions
- Min. 4 years of Experience working with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL, Power BI, SAC and other BI, data visualization and exploration tools
- Deep understanding of master data management & governance concepts and methodologies
- Experience in Data Modelling & Source System Analysis
- Familiarity with PySpark
- Mastery of SQL
- Experience with Python programming language used for Data Engineering purpose.
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
- Preferred but not required -
- Microsoft Certified: Azure Data Engineer Associate
- Experience in preparing data for Data Science and Machine Learning
- Knowledge of Jupyter Notebooks or Databricks Notebooks for Python development
- Power BI Dataset Development and Dax
- Power BI Report development
- Exposure to AI services in Azure and Agentic Analytics solutions
About the Role
At Sonatype, we empower developers with best-in-class tools to build secure, high-quality software at scale. Our mission is to create a world where software is always secure and developers can innovate without fear. Trusted by thousands of organizations, including Fortune 500 companies, we are pioneers in software supply chain management, open-source security, and DevSecOps.
We're looking for a Senior Data Analyst to help us shape the future of secure software development. If you love solving complex problems, working with cutting-edge technologies, and mentoring engineering teams, we’d love to hear from you.
What You’ll Do
As a Senior Data Analyst with 5+ years of demonstrated experience, you will transform complex datasets into actionable insights, build and maintain analytics infrastructure, and partner with cross-functional teams to drive data-informed decision-making and product improvements.
You’ll own the end-to-end analytics lifecycle—from data modeling and dashboard creation to experimentation and KPI development—ensuring that our stakeholders have timely, accurate information to optimize operations and enhance customer experiences.
Key Responsibilities:
- Using the available data and data models, perform analyses that answer specific data questions and identify trends, patterns, and anomalies
- Build and maintain dashboards and reports using tools like Looker and Databricks; support monthly reporting requirements
- Collaborate with data engineers, data scientists, and product teams to support data initiatives for internal use as well as for end customers
- Present findings and insights to both technical and non-technical audiences – provide visual aids, dashboards, reports, and white papers that explain insights gained through multiple analyses
- Monitor select data and dashboards for usage anomalies and flag for upsell and cross-sell opportunities
- Translate business requirements into technical specifications for data queries and models
- Assist in the development and maintenance of databases and data systems; collect, clean, and validate data from various sources to ensure accuracy and completeness
What You Need
We’re seeking an experienced analyst who thrives in an agile, collaborative environment and enjoys tackling technical challenges.
Minimum Qualifications:
- Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Business Analytics)
- 4+ years of experience in a data analysis or business intelligence role
- Proficiency in SQL, Python, Scala, Pyspark, and other data analyst languages and standards for data querying and manipulation
- Experience working in a collaborative coding environment (e.g., GitHub)
- Experience with data science, analysis, and visualization tools (e.g., Databricks, Looker, Spark, Power BI, Plotly)
- Strong analytical and problem-solving skills with attention to detail
- Ability to communicate insights clearly and concisely to a variety of stakeholders
- Understanding of data lakes and data warehousing concepts and experience with data pipelines
- Knowledge of business systems is a plus (e.g., CRMs, demand generation tools, etc.)
We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.
Key Responsibilities :
- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.
- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.
- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.
- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.
- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.
- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.
- Implement inter-service communication using gRPC and REST.
- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.
Required Skills & Qualifications :
- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.
- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.
- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).
- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.
- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.
- Proven experience with system architecture, distributed systems, and microservices.
- Strong familiarity with Any Cloud infrastructure and deployment practices.
- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.
Strong UX Researcher Profile
Mandatory (Experience 1) - Must have 3+ YOE hands-on UX Research / User Research for B2C Products
Mandatory (Experience 2) - Should have hands-on experience in User Research, Persona's, User Stories, Work-Flows, and Usability Testing
Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies
Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies
Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.
Preferred
Preferred (Company) - Product Company
Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.
Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.
Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.
About ThoughtClan Technologies
ThoughtClan is a niche, technology-focused, 100+ people strong software company that works on building complex enterprise-scale web and mobile-oriented digitalization and data science-related projects. They are in IT Services as well as Product Development space. They focus on applying technology to enable businesses to function better. ThoughtClan is a team of highly specialized technical folks and is growing rapidly.
They have expertise in developing projects related to:
- Data Science — including Image Analytics, Video Analytics, Building AI/ML-based Prediction Models, etc.
- Blockchain — based Cryptocurrency and NFT projects.
- Enterprise-Scale Greenfield Web and Mobile Application Development, Integration, eCommerce, Marketing, and Content Management projects.
We are looking for a Data Scientist to join our fast-growing team.
The candidate must have:
- 3–4 years’ experience in Data Modeling in Python and AI/ML.
- Hands-on experience with Machine Learning and Deep Learning techniques and tools. Tools: RAG, LLMs, Agentic AI, Langchain, Langgraph, PyTorch, OpenCV, Pandas, Scikit Learn, CrewAI, Autogen or AI chatbots. Proven ability to use/create algorithms and run simulations. Experience: Minimum 1–1.5 years or 2 projects. A technical understanding of Microservice Architectures is a plus.
- Good knowledge of Azure Platform for deployment.
- Good knowledge of web frameworks such as Flask.
- Hands-on knowledge on a NoSQL database (Maria DB, Mongo DB, etc.).
- Experience in Visualization of Data using tools like D3.js, Plotly, Power BI, and Tableau. Experience in visualizing large data is a plus.
- Experience using a variety of data mining/data analysis methods with the ability to drive business results using data-based insights and work with large data sets.
- Comfortable working with a wide range of stakeholders and functional teams.
- Good designing skills and communication skills.
- Good knowledge of front-end technologies (HTML, CSS, etc.) would be an advantage.
About the organization:
Bhanzu is a Math EdTech company which has recently raised a Series B round led by Epiq Capital with participation from Z3 partners and existing investors and is rapidly scaling across geographies with online live classes and games.
About the Founder & CEO - Neelakantha Bhanu
Neelakantha Bhanu Prakash is the world's fastest human calculator and India’s mental math Olympic Gold Medalist. Alongside holding four world records and 50 Limca book records, Mr. Bhanu is also a TEDx speaker and educator. He believes that the skill he has been gifted with can be passed on and taught using the right methodology and initiates in the same direction. Giving his vision of completely eradicating Math phobia a head start, Mr. Bhanu has led numerous projects for developing Arithmetic skills in students across the globe.
He has addressed audiences across 23 countries at the Commonwealth Conclaves, Future city Summits, ISB, IITs, and Multiple other global institutions and meets about the importance of Arithmetic learning in the overall development of a child.
Website:- https://www.bhanzu.com/
Role: Marketing Intern (WFO)
Location: Bangalore, HSR Layout.
Key Responsibilities:
- Collect, organize, and maintain data for marketing activities.
- Ensure accuracy and timely updates of information and projects
- Conduct market research and competitor analysis.
- Provide insights and recommendations based on findings.
- Assist in preparing detailed reports for ongoing activities.
Requirements:
- Currently pursuing or recently completed a degree in Marketing, Business, or related fields.
- Strong organizational and multitasking skills.
- Proficiency in MS Office/Google Workspace.
- Analytical mindset with attention to detail.
- Excellent communication and interpersonal skills.
Note: A Pre-Placement Offer (PPO) will be provided based on performance.
CTC: 15 LPA to 21 LPA
Exp: 5 to 8 Years
Mandatory
- Strong Behavioral Data Analyst Profiles
- Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
- Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
- Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
- Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
- Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
- Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
- Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
- Mandatory (Note): Don't want data analysis but business/product/user analysts
Ideal Candidate:
- Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
- 5+ years of experience in CX/UX roles, preferably in a B2C environment.
- Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
- Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
- Excellent communication and collaboration skills.
- Proven experience in managing cross-functional teams and projects.
- Strong background in data analytics and data-driven decision-making.
- Expert understanding of user experience and user-centered design approaches
- Detail-orientation with experience and will to continuously learn, adapt and evolve
- Creating and measuring the success and impact of your CX designs
- Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
- Experienced in designing responsive websites as well as mobile apps
- Understanding of iOS and Android design guidelines
- Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
- Excellent communication skills to be able to present their work and ideas to the leadership team.
If interested kindly share your updated resume on 82008 31681
- Strong Behavioral Data Analyst Profiles
- Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
- Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
- Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
- Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
- Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
- Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
- Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
- Mandatory (Note): Don't want data analysis but business/product/user analyst
MANDATORY:
- Super Quality Data Architect, Data Engineering Manager / Director Profile
- Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
- Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
- Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
- Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
- Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
- Product Companies (Prefers high-scale, data-heavy companies)
PREFERRED:
- Must be from Tier - 1 Colleges, preferred IIT
- Candidates must have spent a minimum 3 yrs in each company.
- Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
ROLES & RESPONSIBILITIES:
- Lead and mentor a team of data engineers, ensuring high performance and career growth.
- Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
- Drive the development and implementation of data governance frameworks and best practices.
- Work closely with cross-functional teams to define and execute a data roadmap.
- Optimize data processing workflows for performance and cost efficiency.
- Ensure data security, compliance, and quality across all data platforms.
- Foster a culture of innovation and technical excellence within the data team.
IDEAL CANDIDATE:
- 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
- Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
- Proficiency in SQL, Python, and Scala for data processing and analytics.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
- Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
- Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
- Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
- Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
- Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
- Proven ability to drive technical strategy and align it with business objectives.
- Strong leadership, communication, and stakeholder management skills.
PREFERRED QUALIFICATIONS:
- Experience in machine learning infrastructure or MLOps is a plus.
- Exposure to real-time data processing and analytics.
- Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
- Prior experience in a SaaS or high-growth tech company.
Strong Behavioral Data Analyst Profiles
Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
Mandatory (Note): Don't want data analysis but business/product/user analysts
Preferred
Preferred (Skills): Ability to create insightful dashboards and reports highlighting user engagement metrics, sentiment trends, and improvement opportunities
ROLE & RESPONSIBILITIES:
As Manager-Business Development, you will be responsible for business development in the India Market. Will be responsible for identifying new opportunities to expand markets and drive business growth while also enabling increased revenue from current accounts. Build and maintain strategic partnerships and nurture relationships with influencers and stakeholders.
RESPONSIBILITIES & DUTIES:
- Responsible for sales in the Indian market for our SaaS Product.
- Lead outbound and direct sales efforts by proactively engaging with potential clients, building strong relationships, and successfully closing deals. This is a field-intensive role that requires frequent client visits, lead generation, and hands-on market engagement to drive sales growth.
- Independently managing deal size of INR 50 L ARR in the past
- Coordinating with the Pre-sales team on getting Demos / POCs conducted.
- Proposal preparation, conducting commercial negotiations leading to closure and contracting.
- Collecting payments from customers and managing customer relationships.
- Strong communication skills with ability to sell and interact with CXO profiles of companies.
IDEAL CANDIDATE:
- Overall 6-8 years of experience in outbound and direct sales preferably in the garment industry.
- Minimum 4-5 years of experience in selling ERP solutions.
- Solid business development & acquisition experience
- Strong relationship and account management skills
- Proficient in using CRM tools and data analysis to drive sales performance
- Proactive and solutions-oriented with the ability to work independently
- Excellent interpersonal skills and ability to communicate with stakeholders at all levels - internally as well as externally
- Excellent communication, negotiation, and presentation skills
- Strong business acumen and ability to understand customer needs
About Analyticsliv:
We are a Google Partner Agency & Google Tag Manager Certified Partner that believes that when the right set of people forms a team they can achieve formidable things. India's Digital industry is going to grow 10-fold in the next 5 years and we intend to play a strong role in that growth. If you think you have the potential to pace up with a fast growth process driven organization, we are waiting to hear from you.
Requirements:
- Bachelor's degree in Marketing or a related business or technology field
- Experience with Google Analytics 4 reporting in depth (default & custom) & Universal Analytics
- Extensive digital expertise including digital measurement and associated data and technology platforms
- In depth knowledge of the Google Analytics KPIs
- Ability to identify data quality issues, navigate multiple data sources, and work to resolve data quality issues.
- Ability to create impactful dashboards using Data Visualization tools
- Experience analysing web analytics data
- Strong analytical skills with high attention to detail
- Excellent verbal and written communication skills
Perks:
- Exposure to global brands and large-scale campaign management.
- Supportive and growth-oriented work culture.
- 5 Days working
- Flexible working hours
- Mediclaim working hours
- Maternity Leave benefits
- Paternity Leave benefits
- Birthday Leave benefits
- Yearly Performance Incentives
- Bereavement Leave
About the internship
Selected intern's day-to-day responsibilities include:
1. Assist in creating business assets such as presentations, documentation, and reports.
2. Support the team in developing and optimizing internal business workflows.
3. Help in building and running marketing automation campaigns using the Zoho suite.
4. Assist in preparing internal dashboards and reports using Power BI.
5. Contribute to managing company social media accounts and analyzing performance metrics.
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 22nd Oct'25 and 1st Nov'25
3. are available for duration of 3 months
4. are from Thane only
5. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Other requirements
1. Masters/Bachelors in Marketing or Business Analytics and related fields (preferred).
2. Prior exposure to business analytics and/or marketing roles is desirable.
3. Excellent command over English with strong communication skills.
4. Familiarity with analytics tools (Power BI, Zoho suite, or similar).
5. Detail-oriented with the ability to support multiple tasks.
6. Female candidates will be preferred for this role.
Job Title: Data Engineering Support Engineer / Manager
Experience range:-8+ Years
Location:- Mumbai
Experience :
Knowledge, Skills and Abilities
- Python, SQL
- Familiarity with data engineering
- Experience with AWS data and analytics services or similar cloud vendor services
- Strong problem solving and communication skills
- Ablity to organise and prioritise work effectively
Key Responsibilities
- Incident and user management for data and analytics platform
- Development and maintenance of Data Quliaty framework (including anomaly detection)
- Implemenation of Python & SQL hotfixes and working with data engineers on more complex issues
- Diagnostic tools implementation and automation of operational processes
Key Relationships
- Work closely with data scientists, data engineers, and platform engineers in a highly commercial environment
- Support research analysts and traders with issue resolution

As an intern for the Artificial Intelligence business automation team, you will be focusing on researching and developing AI tools that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer.
💯What will you do?
- Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
- Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
- Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
- Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
- Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
- Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
- Train the TAs to take the doubt sessions and for project evaluations
💯Who are we looking for?
We are looking for someone who has:
- A minimum of 1-2 years of industry work experience in data science or a related field. Teaching experience is a plus.
- In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
- Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai, etc.
- Passion for teaching and a desire to impart practical knowledge to students.
- Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
- Experience with curriculum development, lesson planning, and instructional design is a plus.
- Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
💯What do we offer in return?
- Awesome colleagues & a great work environment - Internshala is known for its culture (see for yourself) and has twice been recognized as a Great Place To Work in the last 3 years
- A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
- Competitive remuneration
💰 Compensation - Competitive remuneration based on your experience and skills
📅 Start date - Immediately
What We’re Looking For :-
- 4–6 years of experience in performance marketing, ideally in a high-growth D2C, e-commerce, or startup environment.
- Proven expertise in managing large-scale paid media campaigns across Meta and Google Ads (experience with additional platforms is a plus).
- Strong analytical mindset with deep knowledge of attribution models, customer acquisition, and conversion funnels.
- A creative and collaborative approach to working with design and content teams.
Key Responsibilities:-
- Lead the planning, execution, and optimization of paid campaigns across Meta, Google, and other relevant channels.
- Manage marketing budgets effectively while monitoring key KPIs (CAC, ROAS, CTR, CR) and reporting performance metrics regularly.
- Continuously test and refine ad creatives, audiences, ad placements, and bidding strategies to maximize impact.
- Analyze campaign performance using tools such as GA4, Meta Ads Manager, and attribution platforms.
- Partner with creative and content teams to develop high-performing ad assets.
- Collaborate cross-functionally with retention, product, and design teams to optimize the full-funnel experience, including landing pages.
About Us: As India's fastest-growing D2C brand, we are at the forefront of innovation and transformation in the market. We’re a well-funded, rapidly growing (we have recently launched our 100th store), omnichannel D2C brand with a passionate and innovative team.
Job Summary: We are seeking a Data Engineer to help us design, build and maintain our BigQuery data warehouse by performing ETL operations and creating unified data models. You will work across various data sources to create a cohesive data infrastructure that supports our omnichannel D2C strategy.
Why Join Us: Experience the exciting world of India's billion-dollar D2C market. As a well-funded, rapidly growing omnichannel D2C brand, we are committed to changing the way India sleeps and sits. You'll have the opportunity to work with a passionate and innovative team and make a real impact on our success.
Key Responsibilities:
ETL Operations: Design, implement, and manage ETL processes to extract, transform, and load data from various sources into BigQuery.
Data Warehousing: Build and maintain a robust data warehouse in BigQuery, ensuring data integrity, security, and performance.
Data Modeling: Create and manage flat, unified data models using SQL and DBT to support business analytics and reporting needs.
Performance Optimization: Optimize ETL processes and data models to ensure timely data delivery for reporting and analytics.
Collaboration: Work closely with data analysts, product managers, and other stakeholders to understand data requirements and deliver actionable.
Documentation: Maintain comprehensive documentation of data workflows, ETL processes, and data models for reference and onboarding
Troubleshoot: Monitor and troubleshoot data pipeline issues, ensuring timely resolution to minimize disruption to business operations.
Skills and Qualifications:
- Proficiency in SQL and experience with BigQuery
- Minimum 2 years of experience in data engineering or a similar role
- Experience with data pipeline and ETL tools (e.g., Apache Airflow, Talend, AWS Glue)
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake)
- Knowledge of data modeling, data architecture, and data governance best practices.
- Excellent problem-solving skills and attention to detail
- Knowledge of DBT (Data Build Tool) for data transformation
- Self-motivated, proactive, and highly accountable
- Excellent communication skills to effectively convey technical concepts and solutions
We are looking for a detail-oriented and proactive Logistics Executive to manage and coordinate the movement, storage, and distribution of goods. The ideal candidate will ensure timely deliveries, optimize logistics operations, and maintain cost efficiency while upholding quality and compliance standards.
Key Responsibilities:
- Plan, coordinate, and monitor logistics operations including transportation, warehousing, and inventory management.
- Ensure timely dispatch and delivery of goods as per schedule.
- Negotiate with transporters, freight forwarders, and vendors to optimize cost and efficiency.
- Maintain accurate records of shipments, stock levels, and related documentation.
- Coordinate with internal teams (sales, procurement, production, etc.) to align supply chain processes.
- Track shipments and proactively resolve issues related to delays, damages, or discrepancies.
- Ensure compliance with company policies, legal regulations, and safety standards.
- Prepare daily/weekly/monthly logistics reports for management review.
- Suggest process improvements to enhance efficiency and reduce costs.
Qualifications & Skills:
- Bachelor’s degree in Logistics, Supply Chain, Business Administration, or a related field.
- 1–3 years of experience in logistics, supply chain, or warehouse management (freshers with internships may also be considered).
- Knowledge of logistics software, ERP systems, and MS Office (Excel proficiency is a must).
- Strong communication, negotiation, and problem-solving skills.
- Ability to multitask and work in a fast-paced environment.
- Attention to detail with good organizational skills.
We are seeking a detail-oriented and innovative Chemical Engineer. The ideal candidate will be responsible for designing, developing, and optimizing processes for manufacturing, ensuring safety, quality, sustainability, and efficiency. This role requires strong problem-solving skills and the ability to work in cross-functional teams to improve production systems.
Key Responsibilities:
- Design, develop, and implement chemical processes for production.
- Monitor and optimize plant operations to improve yield, reduce costs, and minimize waste.
- Ensure compliance with health, safety, and environmental regulations.
- Conduct research and feasibility studies to develop new products and processes.
- Collaborate with R&D, production, and quality teams to improve efficiency.
- Troubleshoot technical issues in manufacturing and propose solutions.
- Prepare and maintain technical documentation, reports, and SOPs.
- Implement best practices for sustainability and energy efficiency.
Qualifications & Skills:
- Bachelor’s or Master’s degree in Chemical Engineering (or related field).
- Strong knowledge of chemical processes, thermodynamics, fluid mechanics, and reaction engineering.
- Experience with process simulation tools (e.g., Aspen Plus, HYSYS, MATLAB) is an advantage.
- Good analytical, mathematical, and problem-solving skills.
- Strong communication and teamwork abilities.
- Knowledge of safety standards and environmental regulations.
Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.
Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.
As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital.
Key Responsibilities:
- Collect data from various sources, including databases, APIs, and web scraping tools.
- Clean and process raw data to ensure it is accurate and consistent.
- Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.
- Communicate insights in a clear and concise manner with the manager alongside your progress.
- Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client.
Qualifications:
- Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace.
- Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.
- Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content.
- Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively.
- Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics
We are hiring for Performance Marketing Analysts, Consultants and Managers with hands-on experience on Blinkit, Swiggy, Zepto, Amazon, Flipkart and other e-commerce/ quick commerce performance marketing for our client. She/He should have a good understanding of linking category and platform insights to performance marketing actions. The role will be very hands-on and will involve full ownership of execution of campaigns (including keyword harvesting, bid changes, report creation) using our automation tool.
Qualifications
● 1-5 years of experience in e-commerce performance marketing - esp Amazon, Flipkart, Blinkit etc
● Experience in executing and optimizing performance marketing campaigns
● Proficiency in using marketing analytics tools and platforms
● Ability to analyze data and provide actionable insights for performance improvement
● Excellent communication and collaboration skills
● Demonstrated ability to work in a fast-paced and dynamic environment
● Bachelor's degree in Marketing, Business, or a related field
Are you passionate about the clean energy transition and looking to build real-world experience at the intersection of energy, data, and technology?
1E9 Advisors is seeking motivated Energy Analyst Interns to join our team. We’re a technology company that delivers strategy and software solutions across industries, with deep expertise in energy markets, commodities, and risk management.
This internship is ideal for candidates who are analytical, detail-oriented, and eager to explore how battery storage and market optimization work in real-world settings.
Important Note: This position is not open to applicants who are currently enrolled in full-time degree programs. This internship is designed to transition into a full-time role for successful candidates, so we are seeking candidates who are available for immediate full-time employment upon completion of the internship.
What You’ll Work On:
- Analyze and interpret energy market data, including pricing, generation, and capacity
- Track evolving US electricity market rules and support policy analysis
- Assist in valuation and optimization models for battery energy storage
- Collaborate on internal product development and customer-facing insights
What We’re Looking For:
- Strong analytical and communication skills
- Proficiency in Python and/or Excel
- Interest in energy markets, clean technology, or battery storage
- Attention to detail and a proactive mindset
Preferred Skills:
- Understanding of US electricity markets
- Hands-on experience with battery storage valuation
- Effective written and verbal communication
What You’ll Gain:
- Practical exposure to energy markets and clean tech analytics
- Mentorship and hands-on project ownership
- Experience contributing to a production-grade software platform (BatteryOS)
- Potential pathway to a full-time opportunity
Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets.
Springer seeks an Operations Intern to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.
Job Highlights:
As an intern for the Business Automation team, you will be focusing on researching and developing tools and workflow that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer.
What you will do as an intern:
Analyze business processes by working closely with other business team to understand the processes and identify areas that can be automated.
Design software solution that can automate business processes, mostly involving researching new automation tools.
Test and debug automation flows to ensure they function as intended.
Provide technical support to the business team and troubleshoot any issues that arise.
Our commitment to your development:
Overarching and detailed training materials before interns hit the desk
Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback
Greater leadership and responsibilities will be given to interns based on work quality
Who we are looking for:
Strong experience using Excel.
Passionate about analyzing data.
Experience (preferred) with data analysis.
Research and problem-solving abilities.
About Springer:
Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up.
Technical and legal Information:
The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.
Some educational institutions require prior approval before the start of an internship. It is the responsibility of the student to check with their institution to be sure they meet any requirements before they accept a position.
Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets.
Springer seeks an Remote LLM Intern to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.
Job Highlights
As an intern for the LLM team, you will be focusing on researching and developing AI tools that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer.
What you will do as an intern:
Answer various business challenges using data generated through AI software.
Designing, monitoring, and implementing solutions to extract data using existing AI tools.
Report your findings in AI data to your manager.
Our commitment to your development:
Overarching and detailed training materials before interns hit the desk
Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback
Greater leadership and responsibilities will be given to interns based on work quality
Who we are looking for:
Strong experience using Excel.
Passionate about analyzing data.
Experience (preferred) with data analysis.
Research and problem-solving abilities.
About Springer:
Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up.
Technical and legal Information
The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.
Some educational institutions require prior approval before the start of an internship. It is the responsibility of the student to check with their institution to be sure they meet any requirements before they accept a position.
Data Automation Intern (Remote)
GreenTree is an asset management firm specializing in cross-border real estate investment banking in China and the USA. This is an online/remote internship. The internship is unpaid. It is up to the applicant's discretion to choose a start and end date (the dates listed on the posting are flexible). You will be given a short quiz to test your background and passion for data automation.
Responsibilities:
- ▪ Work with large datasets to clean, transform, and organize data for analysis and reporting.
- ▪ Develop and implement automated data pipelines using Excel, Power Query, Power BI, or other data tools.
- ▪ Research and recommend tools to improve data workflow efficiency.
- ▪ Collaborate with other teams to gather data requirements and support automation goals.
- ▪ Test and troubleshoot automated solutions and workflows to ensure data accuracy.
Qualifications:
- ▪ Strong understanding of Excel and data processing tools (Power Query, Power BI, or similar).
- ▪ Passion for automating data workflows and improving efficiency.
- ▪ Excellent attention to detail and problem-solving skills.
- ▪ Proficient in Microsoft Office Suite (especially Excel), and familiarity with Google Sheets is a plus.
- ▪ Self-driven and organized with strong communication skills.
- ▪ Willingness to learn new tools and apply feedback quickly.
- ▪ Ability to prioritize and manage multiple tasks independently.
While this position is unpaid, it can be used to receive course credit at partner universities.
About GreenTree:
GreenTree provides project identification, acquisition negotiation, developer liquidity, strata asset pricing, property management, and leasing solutions. GreenTree identifies and underwrites project risk, pricing, and strategies while simultaneously negotiating with developers and 3rd-party sales rep companies for projects in the USA and China.
Our value-add is project identification, acquisition negotiation, developer liquidity, strata asset pricing, property management, and leasing solutions. GreenTree identifies and underwrites project risk, pricing, and strategies while simultaneously negotiating with the developer and 3rd-party sales rep companies.
Greentree’s website: www.greentree.group
About the Role:
We are looking for a highly adaptable and proactive Founder's Office Associate with a technical background. This role involves working directly with leadership to optimize existing processes, set up new workflows, troubleshoot operational bottlenecks, and drive data-driven decision-making.
Key Responsibilities:
- Identify inefficiencies in current processes and implement solutions to streamline operations.
- Work on automating repetitive tasks and improving workflows.
- Analyze reports and data to provide insights for better decision-making.
- Research and learn new tools, technologies, and best practices to enhance productivity.
- Collaborate with cross-functional teams to execute strategic projects.
- Act as a problem-solver for ad-hoc challenges within the company.
- Support leadership in tracking KPIs, preparing reports, and monitoring key metrics.
Who You Are:
- Background: A degree in Engineering, Computer Science, or a technical discipline.
- Experience: 0-3 years in operations, business analysis, or a technical role involving problem-solving.
Skills:
- Strong analytical and data interpretation skills.
- Ability to work with tools like Excel, SQL, or basic scripting for automation (preferred but not mandatory).
- Excellent communication and project management skills.
Mindset:
- Entrepreneurial and self-driven.
- Comfortable working in an ambiguous and fast-paced environment.
- Passionate about solving problems and improving processes.
Why Join Us?
- Direct exposure to leadership and cross-functional teams.
- Opportunity to learn and grow in a high-impact role.
- Dynamic work environment with challenging and rewarding tasks.
Job Description:
As a Lead Zoho Trainer, you will play a key role in developing a highly skilled internal talent pool by conducting comprehensive Zoho application training programs. You will be responsible for designing, implementing, and continuously improving learning curricula that enhance employees' expertise in Zoho CRM, Analytics, Creator, Desk, Projects, and other related Zoho applications.
Key Responsibilities:
- Design and develop structured training modules and content for various Zoho applications.
- Conduct regular training sessions (virtual & on-site) for internal employees, ensuring practical understanding and proficiency.
- Maintain updated knowledge of Zoho suite advancements, regularly revising training materials.
- Monitor trainee performance, provide feedback, and conduct assessments to ensure skill development aligns with organizational objectives.
- Mentor and guide junior trainers, building a strong internal training team.
- Collaborate with Project Managers, Implementation Consultants, and Developers to identify training gaps and develop tailored learning solutions.
- Generate reports and insights on training effectiveness and suggest continuous improvements.
Skills & Qualifications Required:
- Minimum 3–5 years of experience as a Zoho Trainer, Consultant, or Implementation Specialist.
- Expertise across multiple Zoho applications (CRM, Creator, Analytics, Projects, Desk, etc.).
- Certified Zoho trainer or equivalent professional certification preferred.
- Strong presentation, communication, and interpersonal skills.
- Excellent problem-solving skills and ability to explain complex processes in simple terms.
- Ability to independently develop effective training material using digital learning tools.
- Prior experience mentoring or leading teams is highly desirable.
Educational Qualification:
- Bachelor's degree in IT, Computer Science, Engineering, Business Administration, or related fields.
- Zoho certification (desirable).
Why Join Us:
- Competitive remuneration and benefits.
- Continuous learning & professional development opportunities.
- Collaborative and supportive work culture.
- Opportunity to influence and shape talent capabilities within a growing service organization.
Job Title : Technology Strategy and Reporting Specialist
Total Experience : 8+ Years
Relevant Experience : Minimum 3 years of experience in Strategic technology planning and reporting.
Location : Remote, Anywhere in India
Job Type : Full Time
Job Overview :
We are seeking a Technology Strategy and Reporting Specialist to lead the development of strategic dashboards, quarterly board reports, and executive-level communications.
The ideal candidate will bridge the gap between technical insights and business strategy, delivering high-impact reports that drive executive decision-making and organizational performance.
Mandatory Skills :
Power BI or Tableau, Advanced Excel, Executive Reporting, Data Analysis, Strategic Dashboarding, IT KPIs, Storytelling, and Communication Skills
Key Responsibilities :
- Quarterly Board Reporting : Deliver structured, governance-aligned technology reports with KPIs, risk assessments, and strategic recommendations for executive leadership and the board.
- Dashboard Development : Build and manage executive dashboards using tools like Power BI/Tableau to showcase real-time performance and strategic metrics.
- Executive Storytelling : Create polished narratives and presentations that translate technical data into compelling business insights.
- Data Analysis & Insights : Analyze performance data, market trends, and technology strategies to identify actionable insights and business opportunities.
- Reporting Framework : Standardize reporting templates, processes, and governance models to ensure consistent, high-quality outputs.
- Technology Performance Monitoring : Track initiative outcomes, ROI, and budget adherence with scorecards and strategic alignment reports.
Desired Experience :
- 3+ Years in business intelligence, strategic reporting, or executive communication.
- Hands-on experience with dashboard tools (Power BI, Tableau, Excel).
- Strong understanding of IT performance metrics and KPIs.
- Proven record of creating board-level/C-suite presentations.
Qualifications :
- Bachelor's in Business Analytics, Computer Science, Information Systems, Engineering, or related field (Master’s preferred).
- Certifications such as PMP, Power BI, Tableau, or Six Sigma are a plus.
We are seeking a dynamic and experienced Data Analytics and Data Science Trainer to deliver high-quality training sessions, mentor learners, and design engaging course content. The ideal candidate will have a strong foundation in statistics, programming, and data visualization tools, and should be passionate about teaching and guiding aspiring professionals.
Job Title: Manager - Retail Analyst and Communication (Apparel Retail)
Experience: 6-8 years in Retail Business Management Information System
Location: Gurgaon
Salary: Negotiable
Industry: Retail/ Apparel/ Fashion
This role is responsible for managing the end-to-end Retail Business Management Information System (MIS). It involves handling internal communication channels, ensuring adherence to reporting processes and implementing weekly actions based on data insights.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Own and manage all aspects of the MIS and data systems, including report and dashboard generation.
· Coordinate with cross-functional teams for data collection, reporting, and timely store projects.
· Lead monthly, quarterly, and annual target setting for sales and key retail performance metrics.
· Monitor weekly, monthly, and seasonal performance, and circulate actionable insights and reports to stores and leadership.
· Deliver weekly retail communications, ensuring clarity on actions required.
· Support ad hoc data requirements with advanced Excel capabilities.
· Work with tools like SAP, OneDrive, Tableau, Power BI, etc.
Key Skills Required:
· Strong multitasking and time management skills.
· Self-driven, organized, and goal-oriented.
· Analytical mindset with the ability to convert data into actionable insights.
· Proficiency in Microsoft Office Suite, particularly Excel; familiarity with data visualization tools preferred.
mail updated resume with current salary-
email: etalenthire[at]gmail[dot]com
satish: 88 O2 74 97 43
website: www.glansolutions.com
We’re seeking a detail-oriented Data Analyst with proven experience in corporate settings to transform raw data into actionable insights. You’ll collaborate across departments to support strategic decision-making, optimize operations, and enhance business performance through data-driven analysis.
Key Responsibilities:
Exchange Circular Compliance:
- Monitor, Analyze, and interpret circulars, notifications, and directives issued by exchanges (e.g., NSE, BSE) and regulatory bodies (e.g., SEBI).
- Assess the impact of new circulars on business processes and operational procedures.
- Coordinate with relevant departments (e.g., trading, operations, IT) to ensure timely implementation of applicable circular requirements.
- Maintain a circular tracker and ensure that actions taken are documented and auditable.
- Draft and update internal compliance manuals and SOPs based on circulars and regulatory changes.
- Communicate relevant regulatory changes across the organization in an accessible and actionable format.
Audit Management (Internal & External):
- Lead and coordinate periodic internal audits and regulatory/exchange inspections.
- Liaise with auditors (statutory, internal, SEBI, exchange-appointed) and ensure all required documentation and data are prepared and submitted.
- Address audit observations and implement corrective action plans in collaboration with other teams.
- Maintain audit logs, evidence, and historical audit records for regulatory reference and future inspections.
- Ensure closure of non-compliance issues raised during audits within stipulated timelines.
- Conduct periodic internal compliance checks to identify gaps and improve readiness for inspections.
Qualifications & Skills:
- Bachelor’s or Master’s degree in Law, Finance, Commerce, OR CA.
- 5-6 years of experience in compliance within a brokerage, stock exchange, or financial services environment.
- Strong understanding of SEBI regulations and exchange rules.
- Experience handling audits and regulatory inspections, including SEBI and exchange audits.
- Excellent document management, reporting, and analytical skills.
- Familiarity with compliance tracking tools and audit software is an advantage.
- Strong verbal and written communication skills to interface with regulators and auditors.
Preferred Certifications
- NISM Series certifications



















