50+ Data Analytics Jobs in India

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.

Role overview

As a Data Analyst, you should be able to propose creative solutions to develop/solve a business problem. Should be able to recommend design and develop state-of-the-art data-driven analysis using statistical; understating of advanced analytics methodologies to solve business problems & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.

Roles and Responsibilities: -

• Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact
• Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges
• Can guide team to Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making
• Monitors and manages project baseline to ensure activities are occurring as planned - scope, budget and schedule – manages variances
• Anticipates problems before they occur; defines the problem or risk; identifies possible causes; works with team to identify solutions; selects and implements most appropriate solution
• Identifies potential points of contention for missed deliverables; creates and implements strategy to mitigate shortfalls in timeline and budget
• Develop and manage plans to address project strengths, weaknesses, opportunities and threats
• Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations.
• Expected to act independently to deliver projects to schedule, budget and scope; support provided as required and requested, and is self-driven and motivated
• Able to manage multiple clients, lead technical client calls and act as a bridge between product teams and client

Experience Required:

• 9 plus years experience.  
• Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients
• Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness
• Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions.
• Must have the ability to adapt to changing business priorities in a fast-paced business environment
• Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data
• Should have a very good understanding of data structures and algorithms
• This is a Remote (work from home) position.
• Experience leading and working independently on projects in a fast-paced environment
• Management skills to manage more than one large, complex projects simultaneously
• Strong communication and interpersonal skills (includes negotiation)
• Excellent written and verbal communication skills

Must have technical skills: -

• IT background with experience across the systems development life cycle with experience in all project phases – plan, initiate, elaborate, design, build, test, implement.
• Working knowledge of market-leading data analytics tools such as - Spotfire, Tableau, PowerBI, SAP HANA is desired
• Domain experience of retails/Ecom is plus
• Well versed with advance SQL/Excel
• Good with any scripting language/data extraction in Python/R etc.
• Working knowledge of project management methodology, tools and templates (includes program/project planning, schedule development, scope management and cost management)

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

Job Overview:

• JD of DATA ANALYST:



• Strong proficiency in Python programming.
• Preferred knowledge of cloud technologies, especially in Google Cloud Platform (GCP).
• Experience with visualization tools such as Grafana, PowerBI, and Tableau.
• Good to have knowledge of AI/ML models.
• Must have extensive knowledge in Python analytics, particularly in exploratory data analysis (EDA).

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.

SO Specialist – Surat

Experience: 1-3 years

Budget: Up to 35k p/m

Join us in-office team to lead app growth across the Google Play Store and Apple App Store. You'll manage ASO strategies from keyword research to performance tracking, ensuring compliance with store guidelines and boosting app visibility.

What You’ll Do:

• Keyword research & competitor analysis
• Optimise titles, descriptions, and metadata
• Create keyword-rich content for app listings
• Work on PPC campaigns (Apple Search Ads, Google App Campaigns)
• Track metrics: downloads, conversion rates, retention
• Understand ranking algorithms & store compliance policies
• Stay updated with app store guidelines
• Collaborate with devs, designers & marketers

Must-Have Skills:

• ASO tools (AppTweak, Sensor Tower, Mobile Action)
• SEO knowledge for app stores
• App analytics (Firebase, App Annie)
• Strong content writing & communication
• Data analysis with actionable insights
• Ad campaign optimisation

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

Role Characteristics:

Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization. A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner.

You Will:

• Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics
• Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering
• Derive insights and putting them together to build a story to solve a given problem 
• Suggest ways for process improvements in terms of script optimization, automating repetitive tasks 
• Create and automate reports and dashboards through Python to track certain metrics basis given requirements 
• Automate reports and dashboards through Python

Technical Skills (Must have)

• B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields
•  4-6 years of experience in working with data and conducting statistical and/or numerical analysis
•  Ability to write SQL code
• Scripting/automation using python
•  Hands on experience in data visualisation tool like Looker/Tableau/Quicksight
• Basic to advance level understanding of statistics

Other Skills (Must have)

• Be willing and able to quickly learn about new businesses, database technologies and analysis techniques
• Strong oral and written communication 
• Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have) 
• Experience working with large datasets
• Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3)
• Hands on experience on AWS services like lambda, step functions, Glue, EMR + exposure to pyspark 

What we offer

At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love.

• Parental leave- Maternity and Paternity
• Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays)
• In Office Daily Catered Lunch
• Fully stocked snacks/beverages
• Health cover for any hospitalization. Covers both nuclear family and parents
• Tele-med for free doctor consultation, discounts on health checkups and medicines
• Wellness/Gym Reimbursement
• Pet Expense Reimbursement
• Childcare Expenses and reimbursements
• Employee assistance program
• Employee referral program
• Education reimbursement program
• Skill development program
• Cell phone reimbursement (Mobile Subsidy program)
• Internet reimbursement
• Birthday treat reimbursement
• Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic
• Creche reimbursement
• Co-working space reimbursement
• NPS employer match
• Meal card for tax benefit
• Special benefits on salary account

We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

Key Responsibilities:

• MIS Data Preparation:
• Compile, analyze, and present Management Information System (MIS) reports as per CEO’s requirements. Ensure accuracy, timeliness, and relevance of data to support strategic decision-making.
• Minutes of Meeting Preparation:
• Accurately document minutes of internal and external meetings. Ensure timely circulation of MoMs, highlight key action items, and track follow-ups for closure.
• Departmental Follow-ups:
• Act as a liaison between the CEO and Heads of Departments (HODs). Ensure timely collection of inputs, action items, and status updates from all relevant stakeholders.
• Status Tracking (Meetings & Projects):
• Maintain and monitor status updates of ongoing meetings, tasks, and strategic projects. Provide periodic reports to the CEO on progress, bottlenecks, and pending actions.
• Calendar & Email Management:
• Manage the CEO’s schedule, appointments, and correspondence, ensuring priorities are well-organized and time is optimally utilized.
• Confidential Support:
• Handle sensitive and confidential information with utmost discretion and professionalism.
• Coordination & Communication:
• Facilitate smooth internal communication on behalf of the CEO and assist in drafting official communications and presentations when required.

Qualifications & Skills:

• Bachelor's degree in B.Tech related field (MBA preferred)
• Min-7 years of experience in an Executive Assistant or similar role, preferably supporting senior leadership
• Strong proficiency in MS Office (Excel, Word, PowerPoint, Outlook)
• MIS SAVY, DATA ANALYTICAL
• Excellent written and verbal communication skills
• Strong organizational and multitasking abilities
• Ability to work independently, under pressure, and meet deadlines
• High degree of professionalism and attention to detail

Preferred Attributes:

• Experience in managing cross-functional coordination
• Understanding of project tracking and performance reporting
• Ability to handle ambiguity and anticipate the CEO's needs proactively

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!

As a Solution Architect, you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products.

You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach.

Ability to convert client’s business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role.

What you’ll do

• Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions.
• Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs.
• Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP.
• Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services.
• Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric.
• Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms.
• Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs.
• Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes.
• Ability to understand Conceptual/Logical/Physical Data Modelling.
• Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines).
• Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring.

What you will Bring 

• 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives
• Certifications in data engineering, analytics, cloud, AI will be a certain advantage
• Bachelor’s in engineering/ technology or an MCA from a reputed college is a must
• Prior experience of working as a solution architect during presales cycle will be an advantage

Soft Skills

• Communication Skills
• Presentation Skills
• Flexible and Hard-working

Technical Skills

• Knowledge of Presales Processes
• Basic understanding of business analytics and AI
• High IQ and EQ

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

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.

We are looking for a detail-oriented Business Analyst with expertise in Tableau, statistics, SQL, and Excel. The role involves data analysis, creating interactive dashboards, and providing actionable insights to support business decisions and improve operations.

Key Responsibilities:

• Data Analysis & Visualization: Use Tableau for dashboards and conduct statistical analysis.
• SQL & Data Management: Write and optimize SQL queries, ensure data accuracy.
• Reporting: Develop Excel spreadsheets, analyze business processes, and provide reports.
• Collaboration: Work with cross-functional teams to gather requirements and deliver insights.
• Project Management: Manage multiple projects, deliver timely reports, and support teams with data insights.

Job Title: Data Analyst Associate – Data Management  

Location: Mumbai, India  

Company: Wissen Technology

About Us:

Wissen Technology is a leading technology and consulting firm known for its strong commitment to excellence, innovation, and customer satisfaction. We are passionate about harnessing data to drive smart business decisions and deliver impactful insights. Join us in shaping the future of data management.

Role Overview:

We are looking for a meticulous and proactive Data Analyst Associate - Data Management to join our team. This role requires a keen attention to detail, solid organizational skills, and a foundational knowledge of the asset management industry. You will support data analysis, management, and reporting initiatives, focusing on ensuring accuracy, efficiency, and improved decision-making processes.

Key Responsibilities:

• Data Management: Support data integrity and accuracy across various data systems; handle data extraction, transformation, and loading (ETL) processes.
• Analysis & Reporting: Generate insightful reports and conduct data analysis, utilizing Microsoft Excel and Business Objects; provide data support for decision-making processes.
• Collaboration: Engage with global business areas, provide data-related support, and actively participate in relevant meetings.
• Documentation & Communication: Document data management procedures, contribute to data governance practices, and effectively communicate findings with team members and stakeholders.
• Process Improvement: Identify and implement improvements in data operations to enhance efficiency and effectiveness.
• Technical Proficiency: Utilize data management tools and develop insights using BI reporting tools, including Tableau or Power BI; familiarity with Python is a plus.

Qualifications:

• Education: BTech / BE / MCA or any related field
• Industry Knowledge: Basic understanding of the asset management industry and data management practices.
• Technical Skills: Proficiency in Microsoft Excel, with foundational knowledge of Microsoft Access and Business Objects. Knowledge of BI reporting tools (Tableau, Power BI) is preferred, and Python skills are a plus.
• Communication Skills: Strong written and verbal communication abilities, with a focus on customer service and responsiveness.
• Organizational Skills: Strong multitasking, prioritization, and time management skills; attention to detail is essential.
• Project Management: Ability to coordinate and manage project tasks effectively, meeting deadlines with minimal supervision.

Why Join Wissen Technology?

• Opportunity to be part of a growing team focused on data-driven innovation and quality.
• Exposure to global clients and complex data management projects.
• Competitive benefits, including health coverage, paid time off, and a collaborative work environment.

We look forward to welcoming a detail-oriented and driven Data Analyst Associate to our team!

We are seeking a motivated AI Engineer who is passionate about exploring the future of artificial intelligence and eager to transition into the IT field. This role is ideal for individuals with a career gap who have undergone professional training in AI and are looking to apply their skills in a dynamic environment.

• Develop AI Models: Design and implement machine learning algorithms and deep learning models to extract insights from large datasets.
• Collaborate with Teams: Work closely with cross-functional teams to identify business needs and integrate AI solutions that enhance operational efficiency.
• Research and Experimentation: Conduct experiments to improve AI system performance and stay updated with the latest advancements in AI technologies.
• Documentation: Maintain comprehensive documentation for AI models, algorithms, and processes.

• Education: A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
• Training: Completion of professional training programs in AI, machine learning, or data science.
• Programming Skills: Proficiency in programming languages such as Python or R, with experience in data processing techniques.
• Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.

• A genuine interest in the evolving landscape of AI technologies.
• Willingness to learn and adapt in a fast-paced environment.
• Excellent communication skills for effective collaboration within teams.

This position offers a unique opportunity for those looking to pivot their careers into IT while contributing to innovative AI projects. If you are ready to embrace this challenge, we encourage you to apply!

Role: Data Analyst (Apprentice - 1 Year contract)

Location: Bangalore, Hybrid Model

Job Summary: Join our team as an Apprentice for one year and take the next step in your career while supporting FOX’s unique corporate services and Business Intelligence (BI) platforms. This role offers a fantastic opportunity to leverage your communication skills, technical expertise, analytical and problem-solving competencies, and customer-focused experience.

Key Responsibilities:

·     Assist in analyzing and solving data-related challenges.

·     Support the development and maintenance of corporate service and BI platforms.

·     Collaborate with cross-functional teams to enhance user experience and operational efficiency.

·     Participate in training sessions to further develop technical and analytical skills.

·     Conduct research and analysis to identify trends and insights in data.

·     Prepare reports and presentations to communicate findings to stakeholders.

·     Engage with employees to understand their needs and provide support.

·     Contribute insights and suggestions during team meetings to drive continuous improvement.

Qualifications:

·     Bachelor’s degree in Engineering (2024 pass-out).

·     Strong analytical and technical skills with attention to detail.

·     Excellent communication skills, both verbal and written.

·     Ability to work collaboratively in a team-oriented environment.

·     Proactive attitude and a strong willingness to learn.

·     Familiarity with data analysis tools and software (e.g., Excel, SQL, Tableau) is a plus.

·     Basic understanding of programming languages (e.g., Python, R) is an advantage.

Additional Information:

• This position offers a hybrid work model, allowing flexibility between remote and in-office work.
• Opportunities for professional development and skill enhancement through buddy and mentorship.
• Exposure to real-world projects and the chance to contribute to impactful solutions.
• A supportive and inclusive team environment that values diverse perspectives.

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Namskaram

Senior Product Analyst

Context:

We are looking for a Senior Product Analyst with experience in mobile App analytics, who is passionate about building digital products that can put yoga and meditation from a realized master in the hands of 7 billion people on the planet.

You will join a small and evolving team that is passionate about realizing Sadhguru’s vision and at the same time is also committed towards their own personal growth. You will be hands-on and at the same time get an opportunity to define, and lead the analytics practice, and to shape up the future of the digital products at Isha.

Responsibilities:

●     Data analysis and solution building based on insights captured from data.

●     Responsible for giving insights to management and help in strategic planning.

●     Structure concise reports with insights supported by solid analytics and logical thinking.

●     Cross-team projects and streamlining of the process.

●     The root cause Analysis of problems and suggesting improvements to product/ops based on insights.

●     Effectively working with complex data sets with minimal guidance, including cleaning and wrangling data to quickly unearth insights and trends and effectively communicating these to leadership through appropriate data summaries, visualizations and narratives.

●     Answer business questions and provide recommendations through a combination of

●     Descriptive, inquisitive and prescriptive analytics.

Requirements:

●     Strong 3-5 year experience in analytics.

●     Experience in working on analytics for a mobile App.

●     Proficiency in SQL, Excel and at least one visualization tool like tableau or qlikview.

●     Demonstrated ability of solving complex problems and attention to detail.

●     Demonstrated ability of work independently with stakeholders and cross functional teams, preferably in a startup environment.

●     Exposure to a statistical or analytical language such as R or Python.

●     Exposure to ML algorithms and modeling techniques.

●     Open to remote working.

Thirumoolar IT Solutions is looking for a motivated and enthusiastic Fresher Trained Dataset Engineer to join our team. This entry-level position is ideal for recent graduates who are eager to apply their academic knowledge in a practical setting and contribute to the development of high-quality datasets for machine learning applications.

Responsibilities

Assist in the collection, cleaning, and preprocessing of data to ensure it is ready for training machine learning models.

Collaborate with senior dataset engineers and data scientists to understand the requirements for specific machine learning tasks.

Participate in the annotation and labeling of datasets, ensuring accuracy and consistency in data representation.

Conduct quality checks on datasets to identify and rectify errors or inconsistencies.

Support the development of documentation and guidelines for data annotation processes.

Stay updated with the latest tools and techniques in data processing and machine learning.

Skills and Qualifications

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

Basic understanding of machine learning concepts and the importance of high-quality datasets.

Familiarity with programming languages such as Python or R is a plus.

Knowledge of data manipulation libraries (e.g., Pandas, NumPy) is advantageous.

Strong analytical skills and attention to detail.

Excellent communication and teamwork abilities.

A passion for learning and a desire to grow in the field of data engineering.

Preferred Location

Candidates based in Tamil Nadu or those willing to work from home are encouraged to apply.

*Job Title:** Data Analyst

**Location:** Permanent Work from Home

**Job Type:** Full-Time

**Job Description:**

We are seeking a highly motivated and skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, incident management, and real-time data reporting. The role demands exceptional communication skills, both written and spoken, as well as the ability to work flexible shifts to support our global operations.

**Key Responsibilities:**

- Perform data analysis to identify trends, anomalies, and insights.

- Manage and resolve incidents effectively using tools like Jira and Slack.

- Conduct real-time data analysis and reporting to support business decisions.

- Generate comprehensive reports and dashboards to visualize data findings.

- Collaborate with cross-functional teams to ensure data integrity and accuracy.

- Communicate findings and recommendations clearly and concisely to stakeholders.

- Flexibility to work in different time zones as required.

**Required Qualifications:**

- Bachelor’s degree in Computer Science or a related field.

- Proven experience in data analysis and incident management.

- Proficiency in using Jira and Slack for communication and incident tracking.

- Strong skills in real-time data analysis and reporting.

- Exceptional communication skills in English, both written and spoken.

- Ability to work flexible shifts to accommodate global operations.

**Preferred Qualifications:**

- Experience with Python and automation tools is a plus.

**Work Environment Requirements:**

- Must have a reliable laptop/computer and home-based infrastructure, including high-speed WiFi and power backup.

- Ability to work effectively in a remote environment with minimal supervision.

**Benefits:**

- Permanent work-from-home opportunity.

- Flexible working hours.

- Opportunity to work with a dynamic and diverse team.

If you meet the above qualifications and are eager to contribute to a fast-paced and innovative team, we encourage you to apply.

Job Title: MIS Executive

Job Type - Full Time

Location – Indore

Summary/Objective:

The MIS Executive will be responsible for managing and analyzing data, generating reports, and providing insights to support effective decision-making within the organization. The role involves maintaining and enhancing the Management Information System (MIS) to ensure accurate and timely information flow.

Key Responsibilities:

·        Collect, compile, and analyze data from various sources to create comprehensive reports.

·        Develop and maintain efficient databases, ensuring data accuracy and integrity.

·        Generate and distribute daily, weekly, and monthly reports to relevant stakeholders.

·        Implement data validation and cleansing processes to ensure data accuracy.

·        Collaborate with different departments to understand their data requirements and provide support in extracting relevant information.

·        Identify and implement process improvements to enhance data quality and reporting efficiency.

·        Conduct regular audits of data to identify and rectify discrepancies.

·        Stay updated on industry trends and best practices in data management and reporting.

Qualifications/Requirements:

Education:

·        Bachelor's degree in any field.

Experience:

·        Minimum 2 years of proven experience in an MIS Executive role.

·        Jewelry industry experience is good to have

Required Skills:

·        Skilled in product cost analysis, order management, invoicing knowledge, and comprehensive inventory oversight.

·        Strong analytical and problem-solving skills.

·        Proficient in data analysis tools and Microsoft Excel.

·        Database management systems and SQL.

·        Excellent communication and interpersonal skills.

·        Ability to work independently and collaboratively in a team.

·        Detail-oriented with a high level of accuracy.

Job Description: Product Manager for GenAI Applications on Data Products About the Company: We are a forward-thinking technology company specializing in creating innovative data products and AI applications. Our mission is to harness the power of data and AI to drive business growth and efficiency. We are seeking a dynamic and experienced Product Manager to join our team and lead the development of cutting-edge GenAI applications. Role Overview: As a Product Manager for GenAI Applications, you will be responsible for conceptualizing, developing, and managing AI-driven products that leverage our data platforms. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery of high-impact AI solutions. Your understanding of business user needs and ability to translate them into effective AI applications will be crucial. Key Responsibilities: - Lead the end-to-end product lifecycle from ideation to launch for GenAI applications. - Collaborate with engineering and data science teams to design, develop, and deploy AI solutions. - Conduct market research and gather user feedback to identify opportunities for new product features and improvements. - Develop detailed product requirements, roadmaps, and user stories to guide development efforts. - Work with business stakeholders to understand their needs and ensure the AI applications meet their requirements. - Drive the product vision and strategy, aligning it with company goals and market demands. - Monitor and analyze product performance, leveraging data to make informed decisions and optimizations. - Coordinate with marketing and sales teams to create go-to-market strategies and support product launches. - Foster a culture of innovation and continuous improvement within the product development team. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field. - 3-5 years of experience in product management, specifically in building AI applications. - Proven track record of developing and launching AI-driven products from scratch. - Experience working with data application layers and understanding data architecture. - Strong understanding of the psyche of business users and the ability to translate their needs into technical solutions. - Excellent project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. - Strong analytical and problem-solving skills, with a data-driven approach to decision making. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Passion for AI and a deep understanding of the latest trends and technologies in the field. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI technologies and products. - Collaborative and innovative work environment. - Professional development opportunities and career growth. If you are a passionate Product Manager with a strong background in AI and data products, and you are excited about building transformative AI applications, we would love to hear from you. Apply now to join our dynamic team and make an impact in the world of AI and data.

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

Vision: Designing and Developing products and features based on data and advanced

analytics.

- leverage business knowledge and data to uncover the potential of the data

- data science applications development

- hypothesis testing and modelling

- evaluate performance of various ML/DS models

- and much more

Role: The role is to define big ‘Why’ and ‘What’? Ideate and build products and features

using advanced data science and machine learning models which can help internal/external

stakeholders along with customers. It requires you to experiment on multiple hypothesis

using statistical and machine learning algorithms and bring better decision making to the

table. The role requires you to work closely with business and machine learning/data

science team.

Responsibility:

- Define and solve the problem that exist in the market and solve by using data

- Writing Product requirement documents with user stories

- Monitor products and feature’s performance

- Make strong communication and feedback loop with customers and

stakeholders

- Bring best product practices to the table

Autonomy:

- Create product roadmap for data products

- Daily decision making about product

Requirements:

- Graduate/ Post graduate degree in Marketing, Business Administration,

Engineering etc.

- 4+ Years of Product Management experience in high growth tech start up

- Strong knowledge of Excel and Database

- Analyzing data and model performance

- Knowledge of latest technology and innovation trends

- Working knowledge of application development process and hands on product

management systems JIRA, Aha etc.

- Comfortable in programming language like R and Python

- Sound knowledge of cloud-based architecture

- Ability to develop hypothesis and testing models

Optiblack is a product growth firm that works with product leaders to drive revenue from data. Optiblack has worked with 50+ firms and created an impact of $300M+ USD

Optiblack is looking to add a product analyst that works with their clients on client engagement.

Job Descriptions

0. Monitoring

 Look at data from various sources daily to understand insights

 Identify areas of improvement

 Create the dashboards as per requirements

 Build tracking plan

1. Data Analysis

 Gather and analyze data from various sources to extract actionable insights.

 Use statistical techniques and data visualization to interpret trends and patterns.

 Identify opportunities for product improvements based on data analysis.

2. Product Performance Evaluation

 Monitor key product metrics and performance indicators.

 Conduct regular evaluations to assess product performance against goals and benchmarks.

 Identify areas of improvement and recommend strategies for optimization.

3. Market Research

 Conduct market research to understand industry trends, customer needs, and competitive landscape.

 Analyze market data and customer feedback to identify market opportunities.

 Provide insights on target market segments and potential customer segments.

4. User Experience Enhancement

 Collaborate with UX UI designers to improve the user experience of the product.

 Conduct user research, interviews, and usability testing to gather feedback on product usability and satisfaction.

 Recommend enhancements and features to improve user experience.

5. Requirement Gathering

 Collaborate with stakeholders to gather and document product requirements.

 Conduct interviews, workshops, and surveys to understand user and business needs.

 Translate requirements into clear and actionable user stories or product specifications.

6. A/B Testing

 Plan, execute, and analyze A/B Tests to evaluate the impact of changes or new features.

 Use data from A/B tests to make data-driven decisions and optimize the product.

7. Reporting and Presentation

 Prepare reports and presentations to communicate insights, findings, and recommendations.

 Present data analysis and product performance evaluations to stakeholders and cross-functional teams.

 Clearly articulate complex concepts in a concise and understandable manner.

Skills Required for a Product Analyst

1. Technical Skills

 Data Analysis: Proficiency in using analytical tools and techniques to gather, analyze, and interpret data.

 Tools: Mixpanel or similar

 Market Research: Knowledge of market research methodologies, including data collection, analysis, and competitor analysis.

 Product Management Tools: Familiarity with product management tools such as Jira, Trello, or Asana to manage product backlogs, roadmaps, and user stories.

 User Experience (UX) Design: Understanding of UX principles and the ability to work closely with designers to enhance the user experience of the product.

 A/B Testing: Experience in planning, executing, and analyzing A/B tests to measure the impact of product changes.

 SQL and Database Knowledge: Proficiency in SQL to extract and analyze data from databases.

2. Workplace Skills

 Communication: Strong verbal and written communication skills to effectively collaborate with stakeholders, present findings, and document requirements.

 Problem-Solving: Ability to identify problems, gather relevant information, and propose practical solutions to improve product performance and user experience.

 Critical Thinking: Capacity to think analytically, assess situations, and make data-driven decisions.

 Stakeholder Management: Skill in managing relationships with stakeholders, understanding their needs, and balancing competing priorities.

 Teamwork and Collaboration: Ability to work collaboratively with cross-functional teams, including product managers, designers, developers, and marketers.

 Adaptability: Flexibility to navigate in a dynamic and fast-paced work environment, adjusting priorities as needed.

 Attention to Detail: Strong attention to detail to ensure accuracy and precision in data analysis, documentation, and requirement gathering.

We are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.

Responsibilities

· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.

· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.

· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.

· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.

· Utilize the low-code platform and AI models to design innovative solutions that address client needs.

· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.

· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.

· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.

· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.

· Conduct market research to identify potential clients, industry trends, and competitive landscape.

· Analyze market data and client feedback to refine product offerings and develop new solutions.

· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.

· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization. 

Qualifications

· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.

· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.

· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.

· Proven experience in documenting business requirements, functional specifications, and use cases.

· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.

· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.

· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.

· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.

· Willingness to travel as required to client locations for meetings, workshops, and presentations.