OPPORTUNITY
Data Analyst
Flipkart
Remote · FULL TIME
Compensation: ₹8,00,000 – ₹10,00,000/year
1 opening
Posted
About the role
Flipkart is looking for a sharp, curious Data Analyst to join our analytics team in Bangalore and turn vast amounts of e-commerce data into decisions that move the business. Sitting at the intersection of product, category, supply chain and marketing, you will be the person who answers the questions everyone is asking: why did conversion shift last week, which customer segments are growing, where is inventory leaking, and what should we do next. This is a high-visibility role in a fast-moving, data-first organisation — you will work with petabytes of transactional, behavioural and operational data, partner directly with business leaders, and see the impact of your analysis in live product and commercial decisions within weeks rather than quarters. If you love clean SQL, honest metrics and a story that ends with an action, this is the role for you. Compensation is ₹8,00,000 – ₹10,00,000 per year, with a full-time, Bangalore-based position. About the Company: Flipkart is one of India's leading e-commerce marketplaces, connecting millions of customers with sellers, brands and products across the country from its headquarters in Bangalore. Built on technology and data, the company uses analytics at every layer of its business — from personalisation and pricing to supply chain and payments — to deliver a reliable shopping experience at scale. You will join a fast-paced, data-driven team where strong analysis directly shapes decisions and outcomes for customers and sellers. Responsibilities: • Own end-to-end analytical projects: frame the business question, pull and validate data, run the analysis, and present a clear recommendation with trade-offs to stakeholders. • Write and optimise complex SQL queries against large-scale data warehouses to build reusable datasets, funnels and cohort analyses. • Design, maintain and automate dashboards and self-serve reports (Power BI, Tableau or Looker) that leadership relies on for weekly and monthly reviews. • Define, track and govern key business metrics across funnels — traffic, conversion, AOV, retention, fulfilment and returns — and flag anomalies proactively. • Perform deep-dive root-cause analyses on business problems such as drop-offs in the purchase funnel, delivery delays, or shifts in category performance. • Partner with product, category, marketing and operations teams to size opportunities and quantify the impact of experiments and go-live launches. • Support A/B testing and experimentation: define success metrics, size samples, and interpret results with appropriate statistical rigour. • Improve data quality and documentation by validating pipelines, maintaining metric definitions and championing best practices across the analytics community. Qualifications: • 2–4 years of experience in a data analyst, business analyst or analytics role, ideally in e-commerce, consumer internet, retail or consulting. • Advanced SQL: comfortable with joins, window functions, CTEs and query performance tuning on large datasets. • Strong proficiency in Python (pandas, NumPy) or R for data cleaning, exploration and analysis. • Hands-on experience with a BI/visualisation tool such as Power BI, Tableau, QlikView or Looker. • Solid grasp of statistics — descriptive metrics, distributions, hypothesis testing, confidence intervals and basic experiment design. • Advanced Excel/Google Sheets skills, including pivot tables, lookups and modelling. • Excellent written and verbal communication: able to translate analysis into a crisp narrative for non-technical business partners. • Strong business acumen and a problem-solving mindset — you ask why, challenge assumptions and are rigorous about data quality. • Bachelor's degree in Engineering, Statistics, Mathematics, Economics, Computer Science or a related quantitative field. Benefits: • Competitive compensation of ₹8,00,000 – ₹10,00,000 per year, plus an annual performance bonus. • Comprehensive medical insurance for you and your dependants, plus accidental and life cover. • Generous paid leave, statutory benefits including provident fund and gratuity, and parental leave. • Employee discount on the platform and access to wellness and mental-health support programmes. • Annual learning and development budget for certifications, courses and conferences. • Access to large-scale proprietary datasets and modern analytics tooling to build a strong portfolio of impact. • A collaborative, high-ownership culture with clear career pathways into senior analytics, data science and product roles. • Hybrid working flexibility and a centrally located Bangalore office. • Relocation support and a structured onboarding programme. • Regular internal tech and analytics talks, hackathons and mentorship.
Requirements
Problem Solving
About Flipkart
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