Swiggy is hiring a Data Analyst Intern to work on gig-workforce optimisation — using real production data from one of India's largest consumer platforms to drive decisions that affect millions of orders and delivery partners. As a Data Analyst Intern on the gig-workforce team, you will dig into large datasets with SQL and Python, build analyses and dashboards, and turn findings into recommendations that improve how Swiggy's delivery network runs.
This is a rare chance to work with genuinely high-volume, real-world data at a top unicorn, in a five-month, in-office role in Bengaluru with a strong ₹62,000/month stipend and three openings. Roles like this also carry strong potential for a pre-placement offer (PPO) for interns who perform well.
A data analyst intern's week is usually a loop: a stakeholder asks a question ("why did delivery times shift in this city last week?"), you pull and clean the relevant data, explore it to find the real pattern, and then present the answer in a way non-technical teammates can act on. Much of the craft is in framing the right question, being rigorous about what the data actually shows versus what looks tempting, and communicating the "so what" clearly. On a gig-workforce team specifically, that can mean looking at how delivery partners are matched to orders, where the bottlenecks are, and how small operational changes ripple out across thousands of deliveries.
This role suits a student or recent graduate who genuinely enjoys working with data, is comfortable writing SQL, and can already do exploratory analysis in Python or a similar tool. You do not need a statistics PhD — curiosity, attention to detail, and the discipline to double-check your numbers matter more. If you like turning a vague business question into a concrete answer backed by evidence, you will enjoy this kind of work.
To strengthen your application:
Data-analyst internships are commonly screened with a resume shortlist, a SQL or analytics test, and an interview that mixes technical questions with a case or guesstimate ("how would you investigate a drop in orders?"). Interviewers want to see structured thinking as much as tool proficiency, so practising how you talk through a problem out loud pays off.
Working with real, high-volume production data at a company the scale of Swiggy is exactly the experience that hiring managers value later — it is very different from analysing a tidy classroom dataset. Combine that with a competitive stipend and realistic PPO potential, and this internship is a strong launchpad for a career in analytics or data science in India.
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