{"id":2231270,"url":"https://alion.io/job/latentview-analytics-senior-product-analyst","title":"Senior Product Analyst","company":{"id":63513,"name":"LatentView Analytics","domain":"latentview.com","url":"https://alion.io/company/latentview-analytics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-10T18:21:55Z","employer_posted_date":null,"last_verified_at":"2026-10-10T18:21:55Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Job Summary\nWe are seeking a highly skilled Data Scientist – Analytics & Insights to collaborate with our Product team and focus on optimizing user experience through data-driven insights. This role offers a unique opportunity to shape the analytics roadmap and influence key business and product decisions in a fast-paced e-commerce environment.\nThe ideal candidate will have strong expertise in product analytics, particularly within domains such as Search, Ads, Payments, Trust, and Risk, and will be passionate about leveraging data to enhance customer experience and drive business growth.\nKey Responsibilities\nConduct deep-dive analyses and evaluate A/B test results to provide actionable insights for product feature enhancements.\nDecode and validate web tracking mechanisms to understand and analyze user behaviors.\nDefine and develop metrics and KPIs to measure product performance and success.\nBuild dashboards and enable self-service analytics for commonly used metrics; onboard metrics to experimentation platforms.\nPartner with product, engineering, and business teams to uncover growth opportunities and guide decision-making.\nLeverage behavioral data, customer research, and data science techniques to deliver insights that influence the product roadmap.\nQualifications & Experience:\nBachelor's or Master's degree in Statistics, Applied Econometrics, Mathematics, Physics, Computer Science, Economics, Engineering, or related quantitative fields (or equivalent practical experience).\n5+ years of professional experience in analytics or data science roles, with a focus on product analytics.\nHands-on experience with site experimentation / A/B testing frameworks.\nProficiency in analytical and data visualization tools such as SQL, Python, R, and Tableau.\nStrong communication and stakeholder management skills with the ability to present complex insights in a clear, actionable manner.\nProven ability to work collaboratively in cross-functional teams and manage competing priorities in a fast-paced environment.\nPreferred Skills & Domain Expertise\nPrior experience in product analytics across one or more domains: Search, Ads, Payments, Trust, Risk.\nDeep understanding of how product ecosystems in these domains operate.\nExperience in e-commerce or technology-driven organizations.\nStrong foundation in descriptive and inferential statistics.\nDemonstrated ability to translate analytical findings into strategic business recommendations.\nExposure to Natural Language Processing (NLP) or Generative AI (LLMs) is a plus.\nWhy Join Us\nOpportunity to work with global e-commerce leaders and impact millions of users.\nA culture that encourages innovation, continuous learning, and data-driven decision-making.\nCollaborative, inclusive, and dynamic work environment at the intersection of analytics, product, and technology\nWe are an equal opportunity employer and value diversity at our company. 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