Product Analytics

LatentView Analytics · Bangalore

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Last observed by our collector: 8 October 2026 at 11:39 pm IST. This is not a manual review or a confirmation from the employer.

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Collected role description

Job SummaryWe are looking for a Product Analytics & Insights Data Scientist to partner closely with product and engineering teams and help optimize the user experience through data-driven insights.The role offers an opportunity to influence product decision-making and shape the analytics roadmap by identifying meaningful customer and business opportunities. You will work with large-scale e-commerce datasets and apply advanced analytics, experimentation, and data science techniques to generate actionable insights that drive product improvements and business growth.The ideal candidate will have prior experience in Product Analytics and preferably have worked in domains such as Search, Ads, Payments, Trust, or Risk within a product organization. Roles & Responsibilities<ul><li>Conduct and analyze A/B tests and experiments, perform deep dives, and provide actionable recommendations to improve product features and user experience.</li><li>Decode, validate, and analyze web tracking data to understand user behavior and measure the impact of new product features.</li><li>Develop and define product success metrics to evaluate performance and support product roadmap decisions.</li><li>Build dashboards and enable self-service analytics for commonly used product metrics.</li><li>Onboard and maintain relevant metrics within experimentation platforms to support product teams.</li><li>Identify new growth opportunities by analyzing behavioral data, customer insights, and data science outputs.</li><li>Partner closely with Product, Engineering, and Data Science teams to translate business problems into analytical solutions.</li><li>Provide data-driven insights that influence product strategy, roadmap prioritization, and customer experience improvements.</li><li>Work with large-scale datasets and apply statistical and analytical techniques to identify trends, patterns, and opportunities.</li><li>Communicate analytical findings effectively to both technical and non-technical stakeholders.</li></ul>Required Skills & Qualifications<ul><li>Master’s degree in Statistics, Applied Econometrics, Mathematics, Physics, Computer Science, Economics, Engineering, or another related quantitative discipline, or equivalent experience.</li><li>4+ years of relevant professional experience in Data Science, Product Analytics, Business Analytics, or a related field.</li><li>Strong hands-on experience with A/B testing and site experimentation.</li><li>Strong proficiency in SQL and experience working with large and complex datasets.</li><li>Hands-on experience with Python and/or R for statistical analysis and data exploration.</li><li>Experience with data visualization and dashboarding tools such as Tableau or equivalent.</li><li>Strong understanding of statistical concepts, experimentation methodologies, and product metrics.</li><li>Ability to balance critical thinking, business understanding, and hands-on analytical execution.</li><li>Strong problem-solving and analytical skills with the ability to translate data into actionable product recommendations.</li><li>Excellent communication and stakeholder-management skills.</li><li>Proactive approach to collaborating with Product, Engineering, and cross-functional teams.</li></ul>Preferred / Additional Skills<ul><li>Prior experience in Product Analytics within a technology or e-commerce product organization.</li><li>Experience working in one or more of the following domains:</li><li>Search</li><li>Advertising / Ads</li><li>Payments</li><li>Trust</li><li>Risk</li><li>Understanding of how product teams use analytics, experimentation, and customer behavior data to drive product decisions.</li><li>Experience working with large-scale e-commerce or customer behavioral datasets.</li><li>Exposure to experimentation platforms, product analytics tools, and event/web tracking frameworks.</li></ul>We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Collected experience requirement

4 - 8 Years