39 Product Analytics Jobs - Page 2

Responsibilities Emphasis on Prioritization, clarity, and backlog management Analyze team performance and optimization Facilitate communication with development team and stakeholders to ensure alignment Plan and facilitate sprints, standups, reviews, and retrospectives Create user stories and acceptance criteria Continuous product improvement Stay up to date with market trends, competitor analysis, and customer feedback Translate market insights into actionable items Removes any impediments or blockers for team Qualifications Excellent verbal and written communication Ability to collaborate with cross-functional teams across different time zones Strong analytical and problem-solving skills Strong understanding of SDLC Knowledge and experience working in a Cloud / DevOps environment Excellent critical thinking, judgement and creative problem-solving skills. Comfortable navigating a high degree of change and/or ambiguity to drive clear paths for execution at the strategic and tactical level.

JD- Product Manager COMPANYS PROFILE- VectorStack is a technology solutions provider that drives digital transformation and enhances business performance. It specializes in the delivery of effective strategies and tailored solutions, yielding measurable results. Its domain expertise lies in Tech Advancement, Design Innovation, Product Evolution, and Business Transformation. The company caters to industries like Retail Tech, Ad Tech, Fin Tech, and EdTech, working with businesses to unlock their full potential and reach industry leadership. Job Summary We are seeking a dynamic and motivated Product Manager to join our team. The ideal candidate will have 3-6 years of experience in product management a strong background in the logistics domain , and a passion for delivering innovative solutions that address customer needs and drive business value. Responsibilities: Define and own the product vision, strategy, and roadmap for logistics-focused products. Collaborate with cross-functional teams including engineering, operations, sales, and design to deliver product features on time. Conduct market research, competitive analysis, and gather customer insights to shape product direction. Translate business requirements into detailed product specifications and user stories. Prioritize features, enhancements, and bug fixes based on impact and business goals. Define and track key performance metrics to measure product success. Act as a subject matter expert in logistics operations (e.g., transportation, warehousing, last-mile delivery). Drive go-to-market strategies in coordination with marketing and business teams. Requirements: 36 years of product management experience, preferably in a logistics, supply chain, or transportation domain. Strong understanding of logistics workflows, pain points, and technology solutions. Proven ability to manage the end-to-end product lifecycle. Experience working with Agile/Scrum methodologies. Excellent analytical, communication, and stakeholder management skills. Familiarity with tools such as Jira, Confluence, Figma, and product analytics platforms. Bachelor's degree in Engineering, Business, or related field. MBA is a plus.

About Angel one : Angel One Limited is a Fintech company providing broking services, margin trading facility, research services, depository services, investment education and distributes third party financial products to its clients, on a mission to become the No. 1 fintech organization in India. With over 2 crore+ registered clients, we are onboarding an average of over 800k new clients every month in the current financial year. We are working to build personalized financial journeys for our clients via a single app, powered by new-age tech, AI, Machine Learning and Data Science. We have a flat structure, with ample opportunity to showcase your talent and a growth path for you to the very top. We are aggressively hiring for various non-tech and tech roles across India. Join our team and experience the best of both worlds at Angel One! Check out our careers section! Why You'll Love Working at Angel One! Ranked Top 20 Companies to Work in India: We're proud to be recognized as one of the best workplaces, certified for 9 consecutive years. Innovative Culture: Ideate, innovate, and create cutting-edge fintech solutions with AI and Machine Learning. Be part of something huge: Be at the Forefront of Fintech Innovation Bold Approach: We're not just growing a customer base; we're unlocking potential, aiming to touch a billion lives. It's about more: more drive, more initiative, and a bolder way of working. Role Summary: This role will own all diagnostics across the full customer funnel from Install to Trade. This role reports to the head of CSMI and will lead behavioral segmentation, LTV mapping, churn prediction, and friction metrics in partnership with DS, Product, Revenue and business teams Key Responsibilities: Own all funnel and cohort analysis across all products Design and maintain funnel diagnostics dashboards (Install >KYC > Fund > Trade) Partner with DS for predictive signals; support Revenue team with cohort-level strategy Track and analyze CAC, CR%, LTV, and churn metrics across different segments and products. Build dashboards and lead diagnosis for journey drop-offs and conversion bottlenecks. Collaborate with CSMI team and multiple clients in Growth and Revenue teams to recommend intervention opportunities Deliver monthly journey health insights Who are You: 7-9 years in Product Analytics, Growth Analytics, or Lifecycle Strategy Youve owned funnel conversion lifts, not just reported on them. You understand intent decay and data storytelling Strong in GA4, SQL, Looker, or other analytics tools Experience running customer segmentation and predictive analytics Ability to work autonomously and push insight into execution Impact: Youll be the brain behind our funnel intelligence decoding user behavior, diagnosing drop-offs, and pinpointing what moves the needle. Your analysis will drive sharper product bets, better conversion journeys, and smarter customer segmentation. For a deeper dive into our company culture and vision, explore our Company Deck. At Angel One, our thriving culture is rooted in Diversity, Equity, and Inclusion (DEI). As an Equal opportunity employer, we wholeheartedly welcome people from all backgrounds irrespective of caste, religion, gender, marital status, sexuality, disability, class or age to be part of our team. We believe that everyone's unique experiences and viewpoints make us stronger together. Come and be a part of #OneSpace*, where your individuality is celebrated and embraced.

Seeking a Senior Product Manager with 5+ yrs in B2B SaaS. Drive product growth, customer acquisition, and platform scalability. Strong in analytics, SaaS metrics, and API-first products. Lead without authority in a high-growth setup.

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role: Product analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. Expectations/ Requirements: 1. Derive business insights from data with a focus on driving business level metrics. 2. Ability to interact and convince business stakeholders. 3. Developing insightful analysis about business and their strategic and operational implications. 4. Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. 5. Analyze data from multiple angles, looking for trends that highlight areas of concerns or opportunities. 6. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions. 7. Identifying data needs and driving data quality improvement projects. Key Skills Required: 1.Ideally have 2-5 years experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. 2. Proven work experience on MS Excel, Google analytics,SQL, Data Studio, any BI Tool, business analyst or similar role. 3. Should be comfortable working in a fast-changing environment and ambiguous. 4. Critical thinking and very detail oriented. 5. In-depth understanding of datasets, data and business understanding. 6. Capable of demonstrating good business judgement. Education: Applicants must have an engineering academic background with specialization in data science. Why join us : We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our peoples collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India.

Agentic AI Automation Engineer Join Emplay to design AI workflows using LLMs & RAG for enterprise automation. 24 yrs exp. in AI, Python, SQL, prompt design preferred. Remote/Pune. 12–18 LPA. Shape next-gen AI solutions. Apply now!

What will you do: Develop a thorough understanding of the healthcare market, competitive products, and e-commerce market dynamics to gain insights into latest market trends and competitors movements Gather, analyze and distribute intelligence on products, competitors and customer behaviors across different platforms to support product development team on product discovery and conceptualization Be the go-to person for the product, collaborate with cross-functional Product, Analytics and Strategy teams to help determine product vision, strategy and roadmap of capabilities Conduct regular competitive analysis on feature enhancement and feature roll outs by competitors Use product usage data to understand customer pain points and recommend possible solutions to the product team Constant learning and collaborating with the team to develop best practices on product configuration Designing A/B and multivariate experiments to test out multiple hypotheses Own complete end to end analytics of a product pod What are we looking for: Experience in various Analytics & Data Extraction tools such as SQL, Excel, Tableau etc. (Good to have - Google Analytics, MixPanel, Metabase, etc. Ability to gather insights around product performance and user engagement / retention from clickstream data. Understanding of what drives user engagement and retention and how data can be used to evaluate this Solid presentation and communication skills to highlight data trends, insights and recommendations to improve engagement 3+ years experience in online products (App/Web products) is a must (3 to 4 years is preferred) Experience in instrumentation of data (events, screens, goals, etc) capturing for above platforms

Role Description: Retail / CPG domain experience is a must have. Quick commerce (optional) Functional Knowledge Required: Category / Product Analytics (Must have): Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Customer Analytics (Must have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Geo-Spatial Analytics (Good to have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization. Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python , R, Azure Databricks, SQL , etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics

We are looking for a driven Product Marketer who will be responsible for crafting compelling product narratives, understanding ICPs, writing product pages and landing content, and helping marketing with GTM strategies. You will provide competitive intelligence, messaging, and positioning of our products. The company will depend on you to define its products for better market understanding. If you are passionate about carefully researching customer needs and developing great communication strategies to answer them, we have the perfect job for you! Key Responsibilities: Market research Analyze market trends and the competitive landscape to identify opportunities and challenges for Inogic products. Bring in a nuanced understanding of the target audience and their pain points. Product positioning and messaging Create clear product messaging and positioning to make the product stand out from the competition. Go-to-market strategy Work with other team members to create and execute product launches. Also, collaborate with marketing and sales to manage the calendar for creating and releasing content Sales Enablement Support sales channels by training them on the problems the product solves and how to use internal and external collateral. Analyzing performance Analyze the performance and effectiveness of go-to-market activities. Calculate ROI, tweak messaging, and optimize targeting. Content creation Create compelling content to communicate the product's value to the target audience. Determine the type of content to create and distribute Required Skills : Strong written and verbal communication skills 2+ Years of exp in Product Marketing Significant B2B product marketing and copywriting experience Deep understanding of market trends Firm grasp of ways to develop strategic product marketing campaigns High degree of empathy for users perspectives Interested candidates can send in their resume on jobs@inogic.com or whatsapp 8452974856

Key Responsibilities: As a Lead Product Manager, you will be responsible for: Defining and owning the product roadmap, prioritizing features and initiatives based on customer needs, business goals, competitive analysis, and data-driven decision-making. Working closely with engineering, design, and other cross functional teams to bring new products and features to market. Empowering your team by giving context, setting direction and building alignment across stakeholders. Measuring and tracking the performance of products and features, and make necessary adjustments to improve results. Working closely with the marketing team to ensure the successful acquisition and retention of users for the product. Being the spokesperson of the product and create awareness and understanding of the product among target customers and stakeholders. Key Requirements: 8+ years of experience in a product management role in a fast-growing startup. Strong domain knowledge of capital markets, Indian stock markets, trading, and investing. Deep understanding of product lifecycle management, product analytics, and data-driven decision-making. Experience using analytic platforms such as Google Analytics, Clevertap etc. Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams effectively. Excellent strategic thinking and problem-solving skills. Ability to work independently and as part of a team.

Role Overview: We are looking BI + data-engineer kind of skills. The main work is to design & build complex Tableau dashboards, set up robust automated data pipelines and backend tables and do this in an optimized manner. There is also LLM integration into the dashboard, which will require some initiative and exploration. Automations + LLM integration would require some Python experience Job Description: Requirements 3+5 Years of experience in a product analytics, data analyst, or analytics product role Hands on experience in advanced SQL, python Advanced Tableau experience (Min 2yrs hands on experience in Tableau mandatory) Experience in LLM integration into the dashboard • Proven ability to support and improve analytical products that drive business decisions Roles and Responsibilities: Product Thinking & Ownership Product development exposure : Experience working on analytics or data products throughout the product lifecycle - from requirements to delivery. Prioritization skills : Can independently manage a backlog, help triage requests and contribute to roadmap planning. Analytical & Technical Proficiency Strong SQL skills : Can write and optimize queries to explore data and validate product behavior or outcomes. Data visualization : Comfortable building dashboards or reports in tools like Tableau Cross-functional skills : Experience working with product managers, analysts, and engineers to drive product outcomes. Comfort with data pipelines : Understands how data flows through systems; collaborates effectively with data engineers and analytics teams. Model consumption : Understands the basics of AI/ML model outputs and how they feed into products

Job Description: We are looking for a skilled Data Analyst / Business Analyst to join a high-growth team in Bangalore. Youll work on high-impact business problems, delivering actionable insights by analyzing data and building dashboards. This is a full-time, on-site position , where you will collaborate with cross-functional teams to drive data-informed decisions across product, business, and operations functions. Roles and Responsibilities: Work closely with Product, Business, and Operations teams to identify and solve key business challenges using data. Perform root cause analysis, create dashboards, and deliver insights for decision-making. Manage large datasets (1M 10M records/day) and ensure data accuracy. Build and maintain dashboards, fact tables, and data pipelines. Provide inputs on customer acquisition, growth, supply analytics, and marketplace health. Present insights in a business-friendly manner to both technical and non-technical stakeholders. Prototype and test data solutions to solve real-world business issues. Key Requirements: Minimum 6 years of experience in Analytics. Strong skills in SQL and Python for data analysis and manipulation. Advanced skills in Excel , spreadsheets , and data visualization . Experience in building dashboards (Metabase or other BI tools). Strong analytical, problem-solving, and communication skills. PF registration is mandatory . Strong communication (written and verbal) is a must . Must be based in or ready to relocate to Bangalore . Preferred Skills / Good to Have: Experience in Logistics, Mobility, or Delivery-based domains . Familiarity with Metabase , statistical tools, or machine learning concepts . Educational Qualification: Bachelors degree in Statistics, Mathematics, Economics , or a related quantitative discipline.

Lead our Talent Management product at Peoplebox, a YC-backed SaaS startup. Drive product roadmap, enhance enterprise scalability, and collaborate cross-functionally to deliver impactful solutions for top-tier clients. Required Candidate profile B2B SaaS Product Manager with 5+ years’ experience. Must excel in scaling enterprise products, data-driven decision-making, and cross-functional leadership. Background in HR Tech is bonus. Perks and benefits Relocation Bonus, Health Insurance, Flexible Work

Role Description: Retail / CPG domain experience is a must have . Quick commerce (optional) Prior experience in using datasets such as - Geo data, share of wallet data, demographic data, geospatial analytics Candidate who has very specifically worked on projects where new stores / outlets were opened using below skill sets. Functional Knowledge Required: Category / Product Analytics (Must have) : Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Geo-Spatial Analytics (Must have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization Customer Analytics (Good to have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python, R, Azure Databricks, SQL, etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics