Marketing Data Analyst
Build your marketing analytics career at Flipkart as a Marketing Data Analyst in Patna. 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 This Marketing Data Analyst role is hands-on and delivery-focused. Expect to spend your time measuring campaign performance and where marketing spend actually pays back, working primarily in Google Analytics, SQL and Excel. You will own your outputs end to end — from the data pull and the sanity checks to the final recommendation. Key responsibilities • Track and report campaign performance across channels • Measure CAC, ROAS, attribution and channel contribution • Build marketing dashboards the growth team checks daily • Identify wasted spend and optimisation opportunities • Present findings to marketing and leadership • 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 • Google Analytics 4 • SQL • Advanced Excel • Campaign Analytics • Attribution Modelling • ROI & CAC Analysis • Power BI • Google Ads / Meta Reporting • Cohort Analysis • 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: 2023–2026 batches. Freshers and final-year students awaiting results may apply. • Minimum 60% / 6.0 CGPA in the highest qualification (indicative — strong practical skills can offset this). • Experience: 0–3 years in analytics, reporting, MIS or a closely related function. • Technical skills: Google Analytics 4, SQL, Advanced Excel, Campaign Analytics, Attribution Modelling, ROI & CAC 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: ₹3,90,000 – ₹8,70,000 per year (3.9 LPA – 8.7 LPA), an indicative market range for this role in Patna. • Monthly equivalent: approximately ₹53,000 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 • 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 • Modern analytics tooling and licensed BI seats Location, work mode and employment type • Location: Patna, Bihar • Work mode: Work From Office • Employment type: Full-time, permanent • Working hours: 10:00 AM – 7:00 PM, Monday to Friday • Number of openings: 4 • 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 — Technical interview 1 — SQL joins, aggregations, window functions and data modelling • Round 3 — Case study / take-home assignment on a real dataset, with a walkthrough of your approach • Round 4 — 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 up to 3 years of relevant experience who are based in Patna or willing to relocate. You should be comfortable with Google Analytics 4, SQL, Advanced Excel 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 Working at Flipkart means modern tooling, clean processes and colleagues who will review your logic properly. Analysts here grow into senior, lead and specialist tracks. 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 a clear read on which rupee of marketing spend actually worked. 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 19 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: Track and report campaign performance across channels; Measure CAC, ROAS, attribution and channel contribution; Build marketing dashboards the growth team checks daily; Identify wasted spend and optimisation opportunities; Present findings to marketing and leadership; 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; 0–3 years of experience in analytics, reporting or MIS — freshers and 2026 graduates are welcome; Working knowledge of Google Analytics 4, SQL, Advanced Excel; Comfort with Google Analytics, SQL and Excel 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 Patna, Bihar or willing to relocate.