34 Product Analytics Jobs - Page 2

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