Business Analyst

Hiring for Swiggy — via Flexiple, the recruiting partner on this role. About Company Founded in 2014, Swiggy is a technology-driven on-demand delivery platform serving consumers across India. Its platform connects consumers with restaurants, stores and delivery partners across 500+ cities. The Analytics team partners with decision-makers across the value chain, from restaurant menus and delivery incentives to marketing channels and hyperlocal demand. The Analytics Team You will work with decision-makers to solve practical problems across Swiggy's business. The work spans consumer, restaurant-partner and delivery-partner journeys, with opportunities to implement recommendations and see their effects. You will collaborate with statisticians, consultants, programmers and cross-functional business partners in a fast-paced environment. Job Roles & Responsibilities Analyze large, complex datasets to solve business problems and monitor and forecast key metrics. Define measures that show progress against business goals; plan and review business performance. Design, run and measure experiments to test hypotheses and interpret the results. Automate recurring root-cause analysis and insight generation through self-serve platforms. Tell clear stories from data and work with Business, Product and Data Engineering to improve instrumentation quality and data accuracy. Ideal Candidate Profile Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics or a related quantitative field. One to four years of experience, including at least one year in core analytics. Hands-on data manipulation using SQL, R, Python, Excel or similar tools, and exposure to Power BI, Tableau or another BI platform. Working knowledge of descriptive statistics, significance testing and basic regression or classification. Structured, creative problem-solving, clear communication, attention to detail and effective cross-functional collaboration. What We Offer Work on varied business problems across a large on-demand delivery platform. Partner closely with decision-makers and see analytical recommendations implemented. Learn alongside colleagues with backgrounds in statistics, consulting and programming. Contribute in a flat, direct, fast-moving team that values learning, collaboration and merit-based growth. Originally posted on: 25 Sept 2026 Show more Show less