50+ Data Analytics Jobs in India

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. 

We’re looking for a hands-on, creative Growth Marketing Specialist to help us build the foundation for AffiPrompt – our innovative AI-powered platform designed to help creators monetize their content with affiliate links.

This is a part-time role (2 days/week) ideal for a self-starter who can combine strategy and execution to make our brand visible across all key channels.

🌟 What You’ll Do

• Develop and execute a multi-channel growth plan to increase visibility and traction.
• Set up and optimize our presence across social media, Google Business, and other platforms.
• Research and identify the best channels and communities to reach creators and influencers.
• Create and manage content plans (with support from AI tools and our team).
• Launch small-scale growth experiments to test what drives engagement.
• Track and report results using Google Analytics, UTM tracking, and dashboards.

✅ What We’re Looking For

• 3–5 years experience in digital marketing or growth roles (preferably SaaS/startup).
• Strong knowledge of SEO basics, social media strategy, and content marketing.
• Comfortable using AI tools (e.g., ChatGPT, Canva) to speed up work.
• Hands-on experience with Google Analytics, social media scheduling tools, and email marketing platforms.
• Ability to work independently and propose creative ideas to grow a new product.
• Excellent written English skills and understanding of global creator economy trends.

💼 Role Details

• Part-Time: 2 days/week
• Location: Remote (India-based preferred)
• Compensation: ₹4–7 LPA (depending on experience)
• Engagement: Monthly retainer

Why Join Us?

AffiPrompt is building something exciting for the creator economy. You’ll work directly with the founder and shape how creators discover and use our platform from day one.

✅ Ready to apply? If you’re excited to strategize and execute growth for an early-stage SaaS product, we’d love to hear from you.

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.

Duties and Responsibilities:

Content Creation and Curation

• Developing Social Media Strategies: This includes planning, researching, and implementing strategies to achieve specific business objectives, such as increasing follower counts, driving channels’ traffic, and generating leads.
• Creating and Curating Content: This involves crafting written content and selecting relevant content from other sources to post on social media platforms.
• Work with our in-house creative officer to produce top-notch visuals.

Content Scheduling

• Using tools to schedule posts for optimal timing and reach.
• Audience Engagement and Interaction: Responding to Comments and Messages. Actively engaging with followers and responding to their questions and comments.
• Managing Social Media Communities: Building and fostering a positive online community around the brand.
• Conducting Polls and Contests: Using interactive features to encourage engagement and gather feedback.

Monitoring Analytics

• Tracking key performance indicators (KPIs) such as follower growth, engagement rates, and channels traffic from social media.
• Identifying Trends: Using data to understand audience preferences, optimise content strategy, and measure the effectiveness of campaigns.

Generating weekly and monthly reports

• Social Media reports: Focus on the performance of content across platforms like Instagram, Facebook, X (Twitter), LinkedIn, TikTok, etc.
• Event reports: Evaluate the success and impact of events organized or promoted.

Campaign Management

• Responsibility that involves planning, executing, monitoring, and optimizing marketing campaigns across digital platforms and physical events.

Other Responsibilities:

• Work with BU Heads to fish for stories.
• Ensure a cohesive brand experience across all channels.
• Establish/create other social channels like Instagram, TikTok, etc.

Job Title: Placement Operations

Company: HeyCoach

Location: HSR 6th sector Bangalore (On-site/Hybrid)

Experience: 0.6 months to 1 Year

About Us:

Heycoach is a fast-growing EdTech company focused on empowering learners with career-

ready skills. We bridge the gap between education and employment through personalized mentorship and real-world training. Join us in shaping future-ready professionals.

Responsibilities:

 Handle student escalations with empathy and efficiency.

 Actively listen and provide effective problem resolution.

 Make regular follow-up and support calls to guide students through the placement process.

 Strong communication skills — both verbal and written.

 Analyze placement-related data to monitor performance, identify trends, and suggest actionable improvements.

Requirements:

 Bachelor’s degree in any stream.

 Strong interpersonal and communication skills.

 Ability to work with data and draw actionable insights.

 Proficient in MS Excel or Google Sheets.

 Prior experience in student support, operations, or EdTech (preferred).

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.

Responsibilities for Digital Marketing Manager:

-Develop content and creative strategies that drive customers to the website or lead forms.

-Improve the design, UX, traffic, and content of the landing pages.

-Create paid campaigns on social media platforms.

-Create email blast campaigns to target key customers.

-Use advanced metrics to measure the success of a marketing campaign.

-Keep up to date on the latest social media trends.

-Prepare and present Campaign Reports.

-CRM handling.

-Understand client goals, provide strategic direction, and ensure high-quality deliverables.

-Conduct regular performance reviews and strategic discussions.

-Build long-term relationships and drive client satisfaction and retention.

Qualifications for Digital Marketing Manager:

-Bachelor's degree in marketing or business

-Great problem-solving skills

-Experience in Email Marketing and Whstapp Marketing.

-Deep knowledge of web design principles.

-Proficient in MS Office Suite, including Outlook, Excel and Word.

-Ability to identify long-term trends in data.

-Great communication skills.

-Experience working with a content management system.

-Experience working with Google Ads, Facebook Ad Manager, LinkedIn Ads and other 3rd Party Tools.

Apply at :

https://forms.gle/GBEaCaqp3Q1fKun58

Employment Type : Full Time

Work from Office

Work Timings : 10 am - 7pm (We work on 1st, 3rd & 5th (If Any) Saturdays)

Job Location : Indiranagar, Bangalore

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 

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

We are looking for a skilled and detail-oriented Data Analyst – Data Scientist (DA-DS) to join our team. This hybrid role involves analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making. You’ll work closely with cross-functional teams to transform raw data into actionable insights using statistical techniques, data visualization, and machine learning tools.

Data Analysis visual tools (PowerBI, Streamlit, Dash, etc)

SQL, Python Scripting is mandatory

Cloud knowledge (AWS, etc)

Experience in BFSI domain is must.

We are seeking a highly motivated and knowledgeable DADS Trainer to conduct hands-on training in Data Analytics and Data Science. The ideal candidate will have strong domain expertise, coding proficiency, and a passion for teaching concepts in Python, statistics, machine learning, data visualization, and tools like Excel, Power BI, and SQL.

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for 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.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

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.

·        Optimizes 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.

Location: Bangalore – Hebbal – 5 Days - WFO

Type:  Contract – 6 Months to start with, extendable

Experience Required: 5+ years in Data Analysis, with ERP migration experience

Key Responsibilities:

• Analyze and map data from SAP to JD Edwards structures.
• Define data transformation rules and business logic.
• Assist with data extraction, cleansing, and enrichment.
• Collaborate with technical teams to design and execute ETL processes.
• Perform data validation and reconciliation before and after migration.
• Work closely with business stakeholders to understand master and transactional data requirements.
• Support the creation of reports to validate data accuracy in JDE.
• Document data mapping, cleansing rules, and transformation processes.
• Participate in testing cycles and assist with UAT data validation.

Required Skills and Qualifications:

• Strong experience in SAP ERP data models (FI, MM, SD, etc.).
• Knowledge of JD Edwards EnterpriseOne data structure is a plus.
• Proficiency in Excel, SQL, and data profiling tools.
• Experience in data migration tools like SAP BODS, Talend, or Informatica.
• Strong analytical, problem-solving, and documentation skills.
• Excellent communication and collaboration skills.
• ERP migration project experience is essential.

About the Role:

We are looking for a Senior Technical Customer Success Manager to join our growing team. This is a client-facing role focused on ensuring successful adoption and value realization of our SaaS solutions. The ideal candidate will come from a strong analytics background, possess hands-on skills in SQL and Python or R, and have experience working with dashboarding tools. Prior experience in eCommerce or retail domains is a strong plus.

Responsibilities:

• Own post-sale customer relationship and act as the primary technical point of contact.
• Drive product adoption and usage through effective onboarding, training, and ongoing support.
• Work closely with clients to understand business goals and align them with product capabilities.
• Collaborate with internal product, engineering, and data teams to deliver solutions and enhancements tailored to client needs.
• Analyze customer data and usage trends to proactively identify opportunities and risks.
• Build dashboards or reports for customers using internal tools or integrations.
• Lead business reviews, share insights, and communicate value delivered.
• Support customers in configuring rules, data integrations, and troubleshooting issues.
• Drive renewal and expansion by ensuring customer satisfaction and delivering measurable outcomes.

Requirements:

• 7+ years of experience in a Customer Success, Technical Account Management, or Solution Consulting role in a SaaS or software product company.
• Strong SQL skills and working experience with Python or R.
• Experience with dashboarding tools such as Tableau, Power BI, Looker, or similar.
• Understanding of data pipelines, APIs, and data modeling.
• Excellent communication and stakeholder management skills.
• Proven track record of managing mid to large enterprise clients.
• Experience in eCommerce, retail, or consumer-facing businesses is highly desirable.
• Ability to translate technical details into business context and vice versa.
• Bachelor’s or Master’s degree in Computer Science, Analytics, Engineering, or related field.

Nice to Have:

• Exposure to machine learning workflows, recommendation systems, or pricing analytics.
• Familiarity with cloud platforms (AWS/GCP/Azure).
• Experience working with cross-functional teams in Agile environments.

We seek a highly experienced and skilled Zoho Developer to join our dynamic team. As a Senior Zoho Consultant, you will play a key role in implementing, customizing, and integrating Zoho solutions for our clients. Your expertise will help clients streamline their processes, improve efficiency, and leverage the full potential of Zoho's suite of applications

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Position – Python Developer

Location – Navi Mumbai

Who are we

Based out of IIT Bombay, HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics-based diagnostic solution for Tuberculosis was recognized as one of the top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022.

Objectives of this Role:

• Design and implement efficient, scalable backend services using Python.
• Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions.
• Build APIs, services, and scripts to support data processing pipelines and front-end applications.
• Automate recurring tasks and ensure robust integration with cloud services.
• Maintain high standards of software quality and performance using clean coding principles and testing practices.
• Collaborate within the team to upskill and unblock each other for faster and better outcomes.

Primary Skills – Python Development

• Proficient in Python 3 and its ecosystem
• Frameworks: Flask / Django / FastAPI
• RESTful API development
• Understanding of OOPs and SOLID design principles
• Asynchronous programming (asyncio, aiohttp)
• Experience with task queues (Celery, RQ)
• Rust programming experience for systems-level or performance-critical components

Testing & Automation

• Unit Testing: PyTest / unittest
• Automation tools: Ansible / Terraform (good to have)
• CI/CD pipelines

DevOps & Cloud

• Docker, Kubernetes (basic knowledge expected)
• Cloud platforms: AWS / Azure / GCP
• GIT and GitOps workflows
• Familiarity with containerized deployment & serverless architecture

Bonus Skills

• Data handling libraries: Pandas / NumPy
• Experience with scripting: Bash / PowerShell
• Functional programming concepts
• Familiarity with front-end integration (REST API usage, JSON handling)

 Other Skills

• Innovation and thought leadership
• Interest in learning new tools, languages, workflows
• Strong communication and collaboration skills
• Basic understanding of UI/UX principles

To know more about us – https://haystackanalytics.in

Location: Mumbai

Job Type: Full-Time (Hybrid – 3 days in office, 2 days WFH)

Job Overview:

We are looking for a skilled Azure Data Engineer with strong experience in data modeling, pipeline development, and SQL/Spark expertise. The ideal candidate will work closely with the Data Analytics & BI teams to implement robust data solutions on Azure Synapse and ensure seamless data integration with third-party applications.

Key Responsibilities:

• Design, develop, and maintain Azure data pipelines using Azure Synapse (SQL dedicated pools or Apache Spark pools).
• Implement data models in collaboration with the Data Analytics and BI teams.
• Optimize and manage large-scale SQL and Spark-based data processing solutions.
• Ensure data availability and reliability for third-party application consumption.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.

Required Skills & Experience:

3–5 years of hands-on experience in:

• Azure data services
• Data Modeling
• SQL development and tuning
• Apache Spark
• Strong knowledge of Azure Synapse Analytics.
• Experience in designing data pipelines and ETL/ELT processes.
• Ability to troubleshoot and optimize complex data workflows.

Preferred Qualifications:

• Experience with data governance, security, and data quality practices.
• Familiarity with DevOps practices in a data engineering context.
• Effective communication skills and the ability to work in a collaborative team environment.

Position : Senior Data Analyst

Experience Required : 5 to 8 Years

Location : Hyderabad or Bangalore (Work Mode: Hybrid – 3 Days WFO)

Shift Timing : 11:00 AM – 8:00 PM IST

Notice Period : Immediate Joiners Only

Job Summary :

We are seeking a highly analytical and experienced Senior Data Analyst to lead complex data-driven initiatives that influence key business decisions.

The ideal candidate will have a strong foundation in data analytics, cloud platforms, and BI tools, along with the ability to communicate findings effectively across cross-functional teams. This role also involves mentoring junior analysts and collaborating closely with business and tech teams.

Key Responsibilities :

• Lead the design, execution, and delivery of advanced data analysis projects.
• Collaborate with stakeholders to identify KPIs, define requirements, and develop actionable insights.
• Create and maintain interactive dashboards, reports, and visualizations.
• Perform root cause analysis and uncover meaningful patterns from large datasets.
• Present analytical findings to senior leaders and non-technical audiences.
• Maintain data integrity, quality, and governance in all reporting and analytics solutions.
• Mentor junior analysts and support their professional development.
• Coordinate with data engineering and IT teams to optimize data pipelines and infrastructure.

Must-Have Skills :

• Strong proficiency in SQL and Databricks
• Hands-on experience with cloud data platforms (AWS, Azure, or GCP)
• Sound understanding of data warehousing concepts and BI best practices

Good-to-Have :

• Experience with AWS
• Exposure to machine learning and predictive analytics
• Industry-specific analytics experience (preferred but not mandatory)

Role Overview

We’re looking for a Data Analyst who is excited to work at the intersection of data, technology, and women’s wellness. You'll be instrumental in helping us understand user behaviour, community engagement, campaign performance, and product usage across platforms — including app, web, and WhatsApp.

You’ll also have opportunities to collaborate on AI-powered features such as chatbots and personalized recommendations. Experience with GenAI or NLP is a plus but not a requirement.

Key Responsibilities

·        Clean, transform, and analyse data from multiple sources (SQL databases, CSVs, APIs).

·        Build dashboards and reports to track KPIs, user behaviour, and marketing performance.

·        Collaborate with product, marketing, and customer teams to uncover actionable insights.

·        Support experiments, A/B testing, and cohort analysis to drive growth and retention.

·        Assist in documentation and communication of findings to technical and non-technical teams.

·        Work with the data team to enhance personalization and AI features (optional).

Required Qualifications

·        Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.

·        2 – 4 years of experience in data analysis or business intelligence.

·        Strong hands-on experience with SQL and Python (pandas, NumPy, matplotlib).

·        Familiarity with data visualization tools (Streamlit, Tableau, Metabase, Power BI, etc.)

·        Ability to translate complex data into simple visual stories and clear recommendations.

·        Strong attention to detail and a mindset for experimentation.

Preferred (Not Mandatory)

·        Exposure to GenAI, LLMs (e.g., OpenAI, HuggingFace), or NLP concepts.

·        Experience working with healthcare, wellness, or e-commerce datasets.

·        Familiarity with REST APIs, JSON structures, or chatbot systems.

·        Interest in building tools that impact women’s health and wellness. 

Why Join Us?

·        Be part of a high-growth startup tackling a real need in women’s healthcare.

·        Work with a passionate, purpose-driven team.

·        Opportunity to grow into GenAI/ML-focused roles as we scale.

·        Competitive salary and career progression

Best Regards,

Indrani Dutta

MIROR THERAPEUTICS PRIVATE LIMITED

Launch Your Career in IT – Join Us as a Business Development Executive (BDE)

Are you a recent graduate with strong communication skills and a passion for technology, sales, or client engagement? Here's your chance to kickstart your career in the booming IT industry—even if you don't have a technical background!

Who Can Apply!

• Recent graduates from any stream
• Strong Communication and interpersonal skills.
• Eagerness to learn about technology and sales.
• Self-motivated, proactive, and goal-oriented mindset.

What You’ll Do

• Learn the basics of IT services and digital products (training provided).
• Conduct market research to identify potential clients and business opportunities.
• Assist in the development of sales strategies to attract new clients and retain existing ones.
• Reach out to potential clients via email, phone, and social media to introduce our products/services.
• Build and maintain strong relationships with clients.

Why Join Us?

We believe your degree doesn’t define your future—your drive does. If you're hungry to learn, ready to work smart, and want to grow in a future-proof industry, this is your opportunity.

No experience? No problem. We’ll train you. Just bring the energy.

Job Summary

We are looking for a highly driven and ambitious person with the drive to lead multi-layered teams and who place an inordinate amount of importance on learning and improvising. With a relentless focus on execution, you need to be highly data-driven and have a higher-than-normal sense of ownership. Prior experience in Operations/procurement/program management/ process standardization is mandatory. 

Job Responsibilities:

1. Take complete ownership of Project Execution (including P & L)
2. Take up existing projects and optimize them by closely working with the product team.
3. Handle general operations which include daily execution, driving volume, tracking progress, highlighting flags and daily reporting.
4. Analyze training needs and provide training.
5. Collect feedback on a regular basis and resolve any issues.
6. Monitoring the team performance to achieve the KRA’s.
7. Mentor and motivate the student workforce. Demonstrate strong people engagement skills.
8. Run the pilot of projects.
9. Suggest improvements in processes at every level in operations.
10. Set goals/KPIs/targets for the team members.

Desired Skills 

• 0-1 years of relevant experience in managing an operations team.
• Proven ability in driving tightly controlled operational metrics
• Strong process orientation & business acumen
• You should have good people management, team building and program management skills.
• Strongly inclined to do high-quality and impactful work in a dynamic and unstructured environment.
• Higher than normal sense of ownership with a clear bias for action.
• Relevant educational qualification.
• Must have impeccable verbal and written communication skills (Both English and Hindi).

Looking for an analytical and detail-oriented research analyst to assist in improving the operations and decision-making of our business. The research analyst's responsibilities include researching, collecting, analyzing, and interpreting data, and using the data to guide the business's decision-making. A research analyst should be prepared to work in various sectors, such as marketing, business operations, and finance.

To be a successful research analyst, you should have excellent mathematical, critical thinking, and communication skills. You should be flexible and able to work independently or in a team.

Responsibilities:

• Analyzing past operations' results and performing variance analyses.
• Identifying and analyzing trends and forecasts and recommending improvements to the business processes.
• Researching market trends, conducting surveys, analyzing data from competitors, and analyzing the business's operations, expenditures, and customer retention to identify patterns of potential issues or improvements.
• Using data analysis and interpretations to guide the decision-making of the business.
• Using operations data to develop pricing models and identify areas for improvement.
• Using statistical, economic, and data modeling techniques and tools.
• Organizing and analyzing data, creating charts and graphs, and presenting your findings to the leadership team.
• Providing recommendations to improve future business operations.
• Organizing and storing data for future research projects.
• Testing processes, policies, and protocols for efficiency and improvements.

Key Responsibilities

🖥️ Frontend (Angular)

• Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
• Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
• Build PDF report previews, filtering tools, and real-time updates.

🔙 Backend (Python/FastAPI)

• Design and implement APIs for user management, assessments, intervention logs, and reports.
• Integrate scoring logic and data aggregation for AI insights.
• Implement secure role-based access (admin, educator, parent).

🛠️ DevOps / Systems

• Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
• Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
• Optimize performance and ensure data security (GDPR-aligned).

We’re looking for a Product Ninja with the mindset of a Tech Catalyst — a proactive executor who thrives at the intersection of product, technology, and user experience. In this role, you’ll bring product ideas to life, translate strategy into action, and collaborate closely with engineers, designers, and stakeholders to deliver impactful solutions.

This role is ideal for someone who’s hands-on, detail-oriented, and passionate about using technology to create real customer value.

Responsibilities:

• Support the definition and execution of the product roadmap in alignment with business goals.
• Work closely with engineering, design, QA, and marketing teams to drive product development.
• Translate product requirements into detailed specs, user stories, and acceptance criteria.
• Conduct competitive research and analyze user feedback to inform feature enhancements.
• Track product performance post-launch and gather insights for continuous improvement.
• Assist in managing the full product lifecycle, from ideation to rollout.
• Be a tech-savvy contributor, suggesting improvements based on emerging tools, platforms, and technologies.

Qualification:

• Bachelor’s degree in Business, Marketing, Computer Science, or a related field.
• 3+ years of hands-on experience in product management, product operations, or related roles.
• Comfortable working in fast-paced, cross-functional tech environments.

Required Skills:

• Strong analytical and problem-solving abilities.
• Clear, concise communication and documentation skills.
• Proficiency with project and product management tools (e.g., JIRA, Trello, Confluence).
• Ability to manage details without losing sight of the bigger picture.

Preferred Skills:

• Experience with Agile or Scrum workflows.
• Familiarity with UX/UI best practices and working with design systems.
• Exposure to APIs, databases, or cloud-based platforms is a plus.
• Comfortable with basic data analysis and tools like Excel, SQL, or analytics dashboards.

Who You Are:

• A doer who turns ideas into working solutions.
• A collaborator who thrives in tech teams and enjoys building alongside others.
• A catalyst who nudges things forward with curiosity, speed, and smart experimentation.

Job Summary:

Join our team as an Entry Level Data Entry Clerk/Typing specialist, working remotely to contribute to the efficiency and success of our operations. As a crucial member of our team, you will play a key role in maintaining accurate and organized records, ensuring seamless data management, and supporting the overall productivity of the organization.

Key Responsibilities:

• * Accurate and timely data entry into the company systems.

• * Typing and proofreading various documents to maintain high-quality standards.

• * Organizing and categorizing data for easy retrieval.

• * Collaborating with team members to ensure data accuracy and consistency.

• * Adhering to company policies and procedures for data management.

Required Skills:

• * Proficient typing skills with a minimum typing speed of [XX words per minute].

• * Attention to detail and a commitment to data accuracy.

• * Strong organizational skills to manage and prioritize tasks effectively.

• * Excellent communication skills for collaboration within a remote team.

• * Familiarity with data entry software and systems.

Qualifications:

• * High school diploma or equivalent.

• * Previous experience in data entry or typing roles is a plus but not mandatory.

• * Ability to work independently in a remote setting.

Company Overview: 

Softlink Global is a leading IT software company specializing in digitalizing logistics and freight forwarding operations. With a strong global presence across 50+ countries, our innovative, cutting edge ERP solutions empower businesses to streamline and optimize complex operations, enhance efficiency, and drive profitability for global clients. We operate from offices in Singapore, the USA, and the Philippines, and across major cities in India, including Mumbai, New Delhi, Chennai, Bangalore, Kolkata, Ahmedabad, and Hyderabad. 

Position Overview: 

We are looking for a Full Stack Developer (3–5 years) who can go beyond code to understand and solve real business problems. This role requires someone who is equally comfortable writing efficient, scalable software and articulating complex ideas clearly to both technical and non-technical stakeholders. A successful candidate will combine solid development skills with logical reasoning, solution-oriented thinking, and the ability to collaborate effectively across teams. 

Job Description:

1. Application Development: 

∙ Design and develop scalable and maintainable web applications using C#, ASP.NET, MVC, and MS SQL. 

∙ Implement user interfaces with React and modern JavaScript to create intuitive user experiences. 

∙ Apply a solution-oriented approach to translate business requirements into clean, reliable code. 

2. Database Management: 

∙ Write, review, and optimize SQL queries for data-heavy operations with a focus on performance and accuracy. 

∙ Contribute to database design, ensuring consistency, security, and scalability.

3. Collaboration & Teamwork: 

∙ Work closely with product managers, designers, QA, and other developers to shape technical solutions that address real-world logistics challenges. 

∙ Actively participate in sprint planning, whiteboard discussions, and design sessions to drive clarity and alignment across teams. 

4. Code Quality & Debugging: 

∙ Follow best practices for clean code, version control, and documentation. 

∙ Diagnose complex bugs, conduct root cause analysis, and implement robust fixes. ∙ Technology Innovation: 

∙ Stay current with new technologies and development practices to continuously improve product quality.

∙ Contribute ideas for architectural improvements, refactoring opportunities, and better engineering processes. 

Ideal Candidate Requirements: 

∙ Bachelor’s degree in Computer Science, IT, or a related field 

∙ 3 to 5 years of hands-on experience in software development using any of the following: C#, ASP.NET, React, JavaScript, SQL 

∙ Strong interest in building full-stack applications and working in a product-driven environment

∙ Logical reasoning and a proactive attitude toward learning and problem-solving

∙ Good communication skills and a willingness to learn from peers and mentors

We’re looking for an experienced SQL Developer with 3+ years of hands-on experience to join our growing team. In this role, you’ll be responsible for designing, developing, and maintaining SQL queries, procedures, and data systems that support our business operations and decision-making processes. You should be passionate about data, highly analytical, and capable of working both independently and collaboratively with cross-functional teams.

Key Responsibilities:

Design, develop, and maintain complex SQL queries, stored procedures, functions, and views.

Optimize existing queries for performance and efficiency.

Collaborate with data analysts, developers, and stakeholders to understand requirements and translate them into robust SQL solutions.

Design and implement ETL processes to move and transform data between systems.

Perform data validation, troubleshooting, and quality checks.

Maintain and improve existing databases, ensuring data integrity, security, and accessibility.

Document code, processes, and data models to support scalability and maintainability.

Monitor database performance and provide recommendations for improvement.

Work with BI tools and support dashboard/report development as needed.

Requirements:

3+ years of proven experience as an SQL Developer or in a similar role.

Strong knowledge of SQL and relational database systems (e.g., MS SQL Server, PostgreSQL, MySQL, Oracle).

Experience with performance tuning and optimization.

Proficiency in writing complex queries and working with large datasets.

Experience with ETL tools and data pipeline creation.

Familiarity with data warehousing concepts and BI reporting.

Solid understanding of database security, backup, and recovery.

Excellent problem-solving skills and attention to detail.

Good communication skills and ability to work in a team environment.

Nice to Have:

Experience with cloud-based databases (AWS RDS, Google BigQuery, Azure SQL).

Knowledge of Python, Power BI, or other scripting/analytics tools.

Experience working in Agile or Scrum environments.

About the company:

Ketto is Asia's largest tech-enabled crowdfunding platform with a vision - Healthcare for all. We are a profit-making organization with a valuation of more than 100 Million USD. With over 1,100 crores raised from more than 60 lakh donors, we have positively impacted the lives of 2 lakh+ campaigners. Ketto has embarked on a high-growth journey, and we would like you to be part of our family, helping us to create a large-scale impact on a daily basis by taking our product to the next level

Role Overview:

Ketto, Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecycle—from requirements gathering to design planning—alongside implementing advanced analytics and generative AI solutions to support Ketto’s mission.

Key Responsibilities

●  Data Strategy & Automation:

○ Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance.

○ Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making.

●  Data Analysis & Insight Generation:

○ Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success.

○ Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes.

●  Reporting & Quality Assurance:

○ Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed.

○ Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement.

●  Collaboration & Strategic Planning:

○ Work closely with Business, Product, and IT teams to align data initiatives with Ketto’s objectives and growth strategy.

○ Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform.

○ Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making.

Required Skills and Qualifications

●  Technical Expertise:

○ Strong background in SQL, Statistics and Maths

●  Analytical & Strategic Mindset:

○ Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies.

○ Experience with statistical analysis, advanced analytics

●  Communication & Collaboration:

○ Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders.

○ Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals.

●  Preferred Experience:

○ Proven experience in advanced analytics roles

○ Experience leading data lifecycle management, model deployment, and quality assurance initiatives.

Why Join Ketto?

At Ketto, we’re committed to driving social change through innovative data and AI solutions. As our Sr. Product Analyst, you’ll have the unique opportunity to leverage advanced data science and generative AI to shape the future of crowdfunding in Asia. If you’re passionate about using data and AI for social good, we’d love to hear from you!

Role & Responsibilities

Extract insights from large datasets to support data-driven decision-making

Develop and automate routine dashboards for daily, weekly, and monthly KPI tracking

Conduct custom analyses to optimize user onboarding, activation, conversion, and retention funnels

Cohort users and track actual and predicted Lifetime Value (LTV)

Build forecast models and create meaningful alerts for business leaders

Collaborate with cross-functional teams to define short and long-term strategic focus areas

Provide actionable insights and recommendations to relevant teams

Create, standardize and maintain documentation frameworks and taxonomy across businesses

Ideal Candidate

Expertise in data analysis tools (SQL, Excel, Python, R), dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels

Excellent communication skills with the ability to influence stakeholders at all levels with the agility to work autonomously and collaboratively within a team environment

Proven ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders

Strong background in statistical analysis and experimental design for robust hypothesis testing

Experience with A/B testing tools and methodologies in digital product environments

Skill in creating and maintaining comprehensive documentation systems

Key Responsibilities:

• Data Collection and Preparation:
• Gathering data from various sources (databases, APIs, files).
• Cleaning and preprocessing data (handling missing values, outliers, inconsistencies).
• Transforming data into a suitable format for analysis.
• Data Analysis:
• Performing exploratory data analysis (EDA) to identify patterns and trends.
• Applying statistical techniques and machine learning algorithms.
• Creating data visualizations (charts, graphs) to communicate findings.
• Model Development and Evaluation:
• Assisting in the development and training of machine learning models.
• Evaluating model performance using appropriate metrics.
• Contributing to model tuning and optimization.

We are seeking a highly motivated and experienced Senior Data Analyst to join our dynamic team. The ideal candidate will be responsible for extracting, analyzing, and interpreting complex datasets to provide actionable insights that drive business strategy and improve operational efficiency. You will play a crucial role in transforming raw data into meaningful information, enabling stakeholders to make informed decisions.

Responsibilities:

• Data Extraction and Manipulation:
• Extract data from various sources (databases, APIs, cloud platforms, etc.) using SQL, Python, or other relevant tools.
• Clean, transform, and validate data to ensure accuracy and consistency.
• Develop and maintain data pipelines for efficient data processing.
• Data Analysis and Interpretation:
• Conduct in-depth statistical analysis to identify trends, patterns, and anomalies.
• Develop and implement predictive models and algorithms to forecast future outcomes.
• Create insightful visualizations and dashboards using tools like Tableau, Power BI, or Looker to communicate findings effectively.
• Perform A/B Testing, and other experimental design analysis.
• Reporting and Communication:
• Prepare and present comprehensive reports and presentations to stakeholders at all levels.
• Translate complex data findings into clear and concise recommendations.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.

Responsibilities:

• Data Collection and Preparation:
• Gather data from various sources, including databases, spreadsheets, and APIs.
• Clean, validate, and transform data to ensure accuracy and consistency.
• Develop and maintain data pipelines for efficient data processing.
• Data Analysis and Interpretation:
• Analyze large datasets to identify trends, patterns, and correlations.
• Perform statistical analysis and hypothesis testing to validate findings.
• Develop and implement data models and algorithms to support analysis.
• Create visualizations and reports to communicate insights to stakeholders.
• Reporting and Communication:
• Prepare and present data-driven reports and dashboards to communicate findings.
• Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.   
• Clearly articulate complex data insights to non-technical audiences.
• Database Management:
• Assist in the design and maintenance of databases.
• Write and optimize SQL queries for data retrieval and manipulation.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

As a B2B Marketer, you will handle marketing efforts for brand awareness. As well as, lead generation, web site development and content curation/creation, and sales collateral.

Roles and Responsibilities

• Design content marketing strategies and set short-term goals.
• Online and offline marketing: hands-on experience with digital media, including SEM, display, social, email, and affiliate channels.
• Experience working with a sales team in both Sales Enablement and Account-Based Approach.
• Knowledge of Demand Generation tactics and Lead Conversion principles.
• Understanding of A/B and multivariate testing, user segmentation, and reporting processes.
• Ability to create value propositions that communicate clearly to targeted audiences.
• Extensive experience creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
• Accomplished at leveraging full value from marketing automation processes and tools.

Requirements

• Degree in Marketing or relevant field.
• 3+ years of hands-on marketing experience in a B2B role.
• Excellent understanding of B2B marketing.
• Demonstrated ability to manage the budgeting process and use of analytical skills.
• Proven track record in delivering marketing campaigns that drive sales growth.
• Ability to remotely create and manage marketing strategies.
• An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
• Excellent communication skills.

Seeking a detail-oriented Market Research Analyst to conduct surveys and analyze customer preferences and statistical data. Your role will involve providing valuable insights to support customers in their decision-making processes related to product designs, pricing, and promotions. As a successful Market Research Analyst, you will have the ability to independently analyze qualitative data, identify trends, assess strategies, and evaluate competition, with the ultimate goal of enhancing competitiveness. Your responsibilities will include gathering and interpreting market research data, generating reports, and presenting findings to stakeholders. We are looking for a self-motivated professional with strong analytical skills and a deep understanding of market dynamics. Join our team and contribute to our company’s success by helping us make data-driven decisions to optimize our products and strategies.

Role & Responsibilities

We are seeking an experienced and self-motivated Lead Product Manager with expertise in Auto-Tech (e.g., Spinny, Cars24, Acko, PolicyBazaar, Park+). The ideal candidate will focus on user retention, increasing app engagement, and scaling our products to the next level.

Key Responsibilities:

User Retention: Develop and execute strategies to retain users, increase session lengths, and improve app engagement.

Data-Driven Insights: Conduct user behavior analysis and leverage insights to drive product improvements.

UX Optimization: Lead UX enhancements and A/B testing to deliver an exceptional user experience.

Team Leadership: Mentor and guide product teams to achieve strategic goals.

Stakeholder Management: Ensure seamless collaboration across teams and alignment on product objectives.

Ideal Candidate

Industry Experience: Proven experience in Auto-Tech companies or similar sectors.

Product Expertise: Demonstrated success in scaling products and improving user retention.

Technical Skills: Strong command of data analytics, Google Analytics, and UX design principles.

Leadership Skills: Exceptional ability to lead teams, manage stakeholders, and drive challenges to solutions.

Innovative Thinking: Proven ability to improve live products through user-centric design and research.

Job Description: Digital Marketing Specialist

Position: Digital Marketing Specialist

Location: Faridabad

Reports to: Marketing Manager

Type: Full-Time

Working Hours: 9 AM to 6 PM, Sunday Week Off

Salary: ₹15k-20k per month

Job Summary:

The Digital Marketing Specialist will be responsible for developing and implementing online marketing strategies to promote the company’s brand, products, and services. The role focuses on driving website traffic, generating leads, and increasing overall brand awareness through various digital channels.

Key Responsibilities:

• SEO & SEM: Optimize website content for search engines and manage pay-per-click (PPC) campaigns using tools like SEMrush.

• Social Media Management: Create, curate, and manage published content across all social media platforms.

• Content Marketing: Develop and implement content strategies including blogs, newsletters, and multimedia content.

• Email Marketing: Design and execute email campaigns to engage and nurture leads.

• Analytics & Reporting: Track, analyze, and report on the effectiveness of marketing efforts using tools like Google Analytics and SEMrush.

• Campaign Management: Plan and execute digital ad campaigns, including Google Ads, social media ads, and display advertising.

• Website Management: Oversee the company’s website, ensuring an optimized user experience and regularly updated content.

• Graphic Design & Video Editing: Create visually engaging content using tools like Canva and edit marketing videos as needed.

• Collaboration: Work closely with the sales and design teams to create and align marketing strategies.

Qualifications:

• Bachelor’s degree in Marketing, Business, or related field.

• 2-4 years of experience in digital marketing.

• Proficient in SEO, SEM, Google Analytics, and SEMrush.

• Experience with digital ad platforms (Google Ads, Facebook Ads, etc.).

• Knowledge of Canva for design and video editing software.

• Strong analytical, communication, and content creation skills.

• Knowledge of HTML, CSS, and website management is a plus.

Looking for an experienced Product Manager to work in abroad countries who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Key Responsibilities:

Product Strategy and Vision:

• Develop and communicate a product vision and strategy aligned with the company's overall business objectives.
• Conduct market research, gather customer feedback, and analyze trends to inform the product roadmap.
• Define product goals and key performance indicators (KPIs) to track success.

Product Roadmap:

• Create and maintain a detailed product roadmap, setting priorities based on customer needs, business goals, and resource constraints.
• Balance short-term needs with long-term vision and strategic goals.

Cross-functional Collaboration:

• Work closely with engineering, design, and marketing teams to ensure successful product development and launch.
• Facilitate communication between stakeholders, ensuring everyone is aligned on product requirements, timelines, and goals.

Product Development:

• Write clear and actionable product requirements (PRDs) and user stories.
• Define features, prioritize enhancements, and manage the product backlog.
• Ensure the product development process is efficient and follows Agile or other relevant methodologies.

Customer Focus:

• Conduct user research, surveys, and interviews to understand customer pain points and gather feedback.
• Analyze data and product usage to identify opportunities for improvement or new features.
• Develop customer personas and use cases to guide product decisions.

Go-to-Market Strategy:

• Work with the marketing and sales teams to create product launch strategies, including pricing, messaging, and promotional campaigns.
• Train internal teams on product features and benefits to support successful product adoption.

Lifecycle Management:

• Oversee the product's life cycle, from ideation and design through to release, iteration, and eventual retirement.
• Monitor product performance, gather user feedback, and drive continuous improvement.

Stakeholder Management:

• Serve as the primary point of contact for product-related queries across the organization.
• Present product updates, progress, and results to senior leadership and stakeholders.

A Financial Research Analyst is responsible for gathering, analyzing, and interpreting financial data to support investment decisions, business strategies, or financial forecasting. Their primary role is to provide insights and recommendations based on their research to help guide the organization or clients in making informed financial decisions.

Key Responsibilities:

Data Collection & Analysis:

• Gather financial data from various sources (e.g., financial statements, market reports, industry trends, etc.).
• Analyze financial information, including profit and loss statements, balance sheets, and cash flow reports.

Market and Industry Research:

• Research industry trends, economic conditions, and market conditions to identify investment opportunities or risks.
• Track competitor performance and benchmarking.

Financial Modeling and Forecasting:

• Build and maintain financial models to project future performance, such as forecasting revenue and expenses.
• Use quantitative tools to evaluate investment options and potential financial outcomes.

Report Creation:

• Prepare detailed reports summarizing findings, analyses, and recommendations for internal stakeholders or clients.
• Present research findings to management, clients, or investors in a clear and concise manner.

Investment Recommendations:

• Provide recommendations for investment opportunities, such as stocks, bonds, or alternative investments.
• Assist with the evaluation of portfolios and asset management strategies.

Risk Assessment:

• Assess financial risks related to investments, projects, or business decisions.
• Recommend risk management strategies based on data analysis.

Collaboration & Communication:

• Work closely with other teams, such as investment managers, accountants, or business strategists, to align research with broader business objectives.
• Communicate findings and insights clearly to both financial and non-financial stakeholders.

About the Role

We are seeking an experienced and customer-focused Product Manager to join our team. In this role, you will be responsible for defining and executing the product vision, strategy, and roadmap. You will collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative solutions that solve customer pain points and align with our business objectives.

Key Responsibilities

Product Strategy and Vision

• Define and communicate a clear product vision and strategy.
• Align product goals with business objectives and customer needs.
• Conduct market research to identify trends, opportunities, and competitive positioning.

Roadmap and Prioritization

• Develop and maintain a product roadmap that balances short-term deliverables with long-term goals.
• Use prioritization frameworks (e.g., RICE, MoSCoW) to evaluate and prioritize product features.

Customer-Centric Development

• Gather and analyze user feedback through interviews, surveys, and data analytics.
• Advocate for the customer by translating their needs into actionable requirements.

Cross-Functional Collaboration

• Work with engineering teams to define and deliver high-quality, scalable products.
• Partner with designers to create user-friendly interfaces and experiences.
• Collaborate with marketing and sales teams to ensure successful product launches and adoption.

Data-Driven Decision Making

• Define and track key performance indicators (KPIs) to measure product success.
• Leverage analytics tools (e.g., Mixpanel, Google Analytics) to identify trends and optimize performance.

Agile Product Development

• Manage the product backlog and sprint planning in Agile or Scrum environments.
• Drive continuous improvement through iterative product releases.

Qualifications

Must-Have:

• 3–5 years of experience in product management or a related field.
• Proven ability to define and execute product strategies that achieve business goals.
• Strong communication and stakeholder management skills.
• Experience working with Agile development teams.
• Proficiency with product management tools (e.g., Jira, Trello, Asana) and analytics platforms (e.g., Mixpanel, Google Analytics).

Nice-to-Have:

• Familiarity with technical concepts (e.g., APIs, databases, or system architecture).
• Experience in [SaaS, B2B, Recruitment].
• Basic understanding of UX design principles and tools (e.g., Figma, Miro).
• Exposure to A/B testing and data-driven optimization techniques.

Job Description: Data Analyst

Position: Data Analyst

Location: Gurgaon

Experience Level: 1-3 Years

Employment Type: Full-Time

Role Overview

We are looking for a results-driven Data Analyst to join our team and support business decision-making through data insights and analytics. The ideal candidate will be highly proficient in Python, skilled in data visualization tools, and experienced in solving complex problems to drive measurable business outcomes such as revenue growth or cost reduction.

Key Responsibilities

Data Analysis and Insights:

Extract, clean, and analyze large datasets using Python to uncover trends and actionable insights.

Develop predictive models and conduct exploratory data analysis to support business growth and operational efficiency.

Business Impact:

Identify opportunities to increase revenue or reduce costs through data-driven strategies.

Collaborate with stakeholders to understand business challenges and provide analytics-driven solutions.

Data Visualization:

Build intuitive dashboards and reports using tools like Zoho Analytics, Looker Studio, or Tableau.

Present findings and insights clearly to both technical and non-technical stakeholders.

Problem-Solving:

Work on end-to-end problem-solving, from identifying issues to implementing data-backed solutions.

Continuously optimize processes through automation and advanced analytics techniques.

Collaboration and Reporting:

Work closely with teams across departments to understand data needs and deliver solutions tailored to their goals.

Provide ongoing reporting and insights to track key performance indicators (KPIs) and project outcomes.

Required Skills & Qualifications

Technical Expertise:

Strong proficiency in Python, including libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

Hands-on experience with BI tools like Zoho Analytics, Looker Studio, or Tableau.

Analytical Skills:

Proven ability to analyze data to generate insights that drive decision-making.

Demonstrated success in addressing business challenges and achieving results such as revenue increment or cost reduction.

Problem-Solving:

Experience working on real-world business problems, identifying root causes, and implementing data-based solutions.

Communication:

Strong ability to communicate complex insights effectively to diverse audiences.

Excellent presentation and storytelling skills to translate data into actionable business strategies.

Preferred Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.

Certifications in data analytics tools or platforms (e.g., Tableau, Looker).

Experience with advanced analytics or machine learning concepts.

What We Offer

Opportunity to work on impactful projects that directly influence business outcomes.

Collaborative, innovative, and supportive work environment.

Access to cutting-edge tools and technologies.

Competitive salary and growth opportunities.