{"id":144481,"url":"https://alion.io/job/bigbasket-com-product-analyst","title":"Product Analyst","company":{"id":950,"name":"BigBasket","domain":"bigbasket.com","url":"https://alion.io/company/bigbasket-com","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":"middle","employment_type":null,"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":12500,"max_usd":29000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1562},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Power 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frameworks to evaluate backend product and ops changes.\nModel real-world scenarios such as:\nImpact of replenishment frequency changes on out-of-stock rates.\nETA logic tweaks to improve SLA adherence.\nManpower and capacity planning for dark stores/fulfillment centers.\nTranslate ambiguous business questions into structured models with clear assumptions, constraints, and outputs.\nValidate ideas through POCs and simulations before PMs take them to engineering.\nCore Product Analytics:\nOwn deep RCAs, metric diagnostics, and insight generation for product and operational performance.\nDesign decision matrices, trade-off analyses, and dashboards that support fast, real-time decisions.\nMonitor key KPIs, identify anomalies, and recommend corrective actions with clear impact sizing.\nPartner closely with Product, Ops, Business, and Engineering to drive data-backed decisions.\nRequirements:\n3+ years of experience in product analytics, data analytics, or applied analytics roles.\nStrong hands-on skills in Python, SQL, and statistics.\nExperience applying statistical reasoning to real operational or product problems.\nAbility to balance modelling depth with execution speed.\nClear communicator who can explain assumptions, trade-offs, and results to non- technical stakeholders.\nNice to have:\nExposure to forecasting, experimentation, or optimisation problems.\nFamiliarity with data science fundamentals and model evaluation.\nExperience working in high-scale, operations-heavy products (quick commerce, e-commerce, logistics, supply chain).","description_format":"text","description_chars":2090,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Delivery","Online 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