E-commerce & Retail Analyst
Build your retail analytics career at Flipkart as a E-commerce & Retail Analyst in Kolkata. This is a full-time position with genuine ownership from the first month — your own datasets, your own dashboards, and stakeholders who rely on them. About the role As a E-commerce & Retail Analyst at Flipkart, your core responsibility is analysing category, pricing and customer data across retail channels. You will work in SQL, Excel and web analytics every day, partner with business stakeholders to understand what they actually need, and deliver analysis that is accurate, reproducible and easy to act on. Key responsibilities • Analyse category, SKU and channel performance • Measure promotion effectiveness, pricing and margin impact • Track customer acquisition, repeat rate and basket metrics • Build commercial dashboards for category managers • Recommend assortment and pricing actions from the data • Validate and reconcile numbers before they are published, and document known data caveats • Automate recurring reporting so the team spends its time on analysis rather than refreshes • Present findings to non-technical stakeholders in clear, plain language Required skills and tools • SQL • Advanced Excel • Category Analytics • Pricing & Margin Analysis • Google Analytics 4 • Cohort & RFM Analysis • Power BI • Assortment Planning • Promotion Effectiveness • Data Visualization • Statistics • Communication Eligibility criteria • Education: BBA/MBA/B.Com/B.E./B.Tech/B.Sc or an equivalent degree. Candidates from any recognised university are welcome. • Graduation year: any, provided the experience requirement is met. • Minimum 60% / 6.0 CGPA in the highest qualification (indicative — strong practical skills can offset this). • Experience: 1–4 years in analytics, reporting, MIS or a closely related function. • Technical skills: SQL, Advanced Excel, Category Analytics, Pricing & Margin Analysis, Google Analytics 4, Cohort & RFM Analysis. • Soft skills: structured thinking, attention to detail, stakeholder communication, ownership and the confidence to flag a number that looks wrong. Salary and compensation • Annual CTC: ₹4,40,000 – ₹9,60,000 per year (4.4 LPA – 9.6 LPA), an indicative market range for this role in Kolkata. • Monthly equivalent: approximately ₹58,000 per month at the mid-point of the range. • Currency: INR (₹). • Performance bonus / variable pay as per Flipkart's policy, reviewed annually. • The exact offer is confirmed by Flipkart based on your interview performance and current compensation. Perks and benefits • Competitive salary as per market benchmarks • Annual performance bonus / variable pay • Health insurance for you and your dependants • Provident Fund and statutory benefits • Structured onboarding and mentorship • Learning & certification support (SQL, Power BI, Tableau, cloud) • Paid leaves and public holidays • Flexible / hybrid working options Location, work mode and employment type • Location: Kolkata, West Bengal • Work mode: Work From Office • Employment type: Full-time, permanent • Working hours: 9:30 AM – 6:30 PM, Monday to Friday • Number of openings: 3 • Joining: immediate to 60 days, as per your notice period Selection process • Round 1 — Resume screening and profile shortlisting by the talent acquisition team • Round 2 — Online assessment — SQL, Excel and quantitative aptitude • Round 3 — HR discussion — compensation, notice period, joining date and offer roll-out Who should apply Candidates from BBA/MBA/B.Com/B.E./B.Tech/B.Sc or an equivalent degree with 1 to 4 years of relevant experience who are based in Kolkata or willing to relocate. You should be comfortable with SQL, Advanced Excel, Category Analytics and able to explain your analysis to someone who has never seen the data. Portfolio projects, Kaggle work, a GitHub repo or published dashboards strengthen an application, especially for early-career candidates. Why join Flipkart Flipkart gives analysts real ownership rather than ticket queues. You are close to the decision-makers, your recommendations are heard, and good work is visible. There is a clear progression path from Analyst to Senior Analyst, and onward into analytics leadership or a specialist data-science / data-engineering track. You will leave every year of this role with category and pricing analysis the commercial team acted on. How to apply Click Apply Now. If you are not signed in you will be asked to log in or create a free MyInternships.in candidate account first, after which you will be taken directly to Flipkart's official careers page to submit your application. Applications close on 18 September 2026 and are reviewed on a rolling basis, so apply early. Additional information • Documents required at the interview stage: updated resume, degree certificates or provisional certificate, and government photo ID. • Experienced candidates should also carry recent payslips and a relieving or experience letter. • There is no service bond for this position, and no equipment deposit is taken. • A laptop and licensed analytics tooling are provided by Flipkart for office and hybrid roles. • Flipkart and MyInternships.in never charge a fee at any stage of the application, selection or onboarding process. If anyone asks you for money in the name of this job, do not pay — report it. Responsibilities: Analyse category, SKU and channel performance; Measure promotion effectiveness, pricing and margin impact; Track customer acquisition, repeat rate and basket metrics; Build commercial dashboards for category managers; Recommend assortment and pricing actions from the data; Validate and reconcile numbers before publishing, and document data caveats; Automate recurring reporting to free up time for real analysis; Present findings clearly to non-technical stakeholders. Requirements: BBA/MBA/B.Com/B.E./B.Tech/B.Sc or an equivalent degree from a recognised university; 1–4 years of experience in analytics, reporting or MIS — relevant hands-on experience required; Working knowledge of SQL, Advanced Excel, Category Analytics; Comfort with SQL, Excel and web analytics and with cleaning messy, real-world data; Ability to define a metric precisely and explain a result to a non-technical stakeholder; Attention to detail, ownership and the discipline to document your work; Based in Kolkata, West Bengal or willing to relocate.