Analyst [Central Strategy Team]

About bigbasketbigbasket, a Tata Enterprise, is one of India’s pioneers in online grocery, transforming the way millions of Indians shop every day. It is at the forefront of transforming quick commerce in India

With 50,000+ employees, presence across 60+ cities and towns and 15 million customer orders per month, we operate across grocery, fresh retail, quick commerce and B2B. Our ecosystem includes 7 business verticals - bigbasket, bbnow, bbdaily, bbinstant, Fresho, bbmandi and bbsaathi. From pioneering online grocery to building next-generation commerce, we continue to innovate at scale. Backed by the Tata Group, we combine the trust of a legacy brand with the agility and ambition to build what’s next.

Join bigbasket. Build what’s next

Role Details Location - Bangalore (Corporate Office)Work Model - Onsite

This role sits within BigBasket's Central Strategy team in Bangalore, combining strategic planning, competitive intelligence, and analytics. As part of the Central Strategy team, the analyst works closely with senior leadership and cross-functional teams across warehousing, fulfillment, last-mile delivery, category, and product to structure business problems and support decisions on expansion, store planning, service areas, operational efficiency, and business reviews. The role involves developing analyses, evaluating business trade-offs, and providing clear recommendations for senior stakeholders.

What would you be doing?

Strategic Initiatives:Assist in implementation of key projects and strategic initiativesLead competitive intelligence and market benchmarking through peer tracking, industry trend analysis, and assessment of key macroeconomic driversEvaluate expansion opportunities with business units through primary and secondary research, competitive landscape analysis, and business case developmentPartner with category, supply chain, and product teams to convert strategic insights into executable initiativesIdentify and drive initiatives that improve operational productivity, workforce efficiency, and cost performance

Investor Engagement and Fund Raise:Support the fund-raising activities, investor meets and board reviewsPrepare MBR/OP reporting and translate technical findings into clear business narratives for leadershipPerforming qualitative and quantitative analysis of business MIS, KPIs, and benchmarkingEngaging with various internal and external stakeholders for obtaining inputs, data, information, and coordination of workstreamsWorking on investor communication materials (Board Decks, Investor Presentation, Financial models/Business Plans etc.)

Who are we looking for?Proficiency in Python for data analysis (pandas, numpy, etc.)Familiarity with machine learning techniques and libraries for forecasting problemsWorking knowledge of generative AI tools and prompt engineeringWorking knowledge of AWS tools (e.g. SageMaker, S3, Redshift) and familiarity with cloud-based data workflowsStrong SQL (Trino/Presto, Redshift) - comfortable diagnosing join/grain issues and writing production-grade, iterative pipelinesAbility to translate ambiguous business questions into structured analysis and clear recommendationsExperience communicating analytical insights to senior leadership and cross-functional stakeholders through MBR/OKR reporting, PowerPoint presentations, and narrative decision documents2–5 years in analytics, data science, or business intelligence roles, ideally in e-commerce/quick-commerce/retailBachelor's degree in a quantitative discipline, such as engineering, statistics, economics, or a related field.

Preferred / Nice-to-HaveExperience in competitive intelligence, market benchmarking, peer tracking, or web-data pipelinesStrong Excel modeling skills for business cases, scenario analysis, and management reportingExperience working across multiple data warehouses and integrating data from varied sourcesUnderstanding of quick-commerce, grocery, or retail economics across stores, fulfillment, and last-mile operationsHands-on experience building Python-based forecasting, machine learning, or decision-support solutions

Interested?At bigbasket, you’ll have the opportunity to work at scale, solve meaningful business challenges and help shape the future of commerce in India.

Join us and be part of the team building what’s next at bigbasket.

Disclaimer: We are committed to building an inclusive workplace where different perspectives, experiences and ideas are valued.