Business Analyst

The Analytics team at Swiggy partners with decision-makers to solve problems across our entire value chain
Improving menus for our restaurant partners, to developing incentives for delivery executives, recommending the best channel for marketing to consumers and predicting demand in hyperlocal geographies are all examples of the repertoire of projects that we undertake If decoding hyperlocal excites you then come, join us on this journey, What can you expect Excellent work environment rated amongst LinkedIns ?Top Companies Where India wants to work now? list Exposure to challenging problems across multiple domains Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organisation Interact with people from various backgrounds a mix of Statisticians, Consultants, and Programmers Flat organization structure with open and direct culture 6 Merit-based fast-growth environment Market-leading compensation and benefits What do you need to have Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field Minimum 2 yrs of core Analytics experience, Experience in analytics/data science or related field Hands-on experience on data manipulation tools like SQL, R, Python, Excel Exposure to BI Platforms like Power BI, Tableau Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing ) Basic knowledge of machine learning techniques like Regression, Classification Strong business acumen combined with a curiosity to tackle complex problems and drive tangible impact, What do we expect from you Creative and structured thinking to solve real-world problems Fail fast, learn faster approach Comfortable in a high-energy, fast-paced environment Proficient verbal and written communication skills Detail-oriented with the ability to self-direct work in an unstructured environment Excellent partnership and collaboration skills with the ability to work cross-functionally Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines What will you work on Analyze large, complex data sets to address business challenges, using advanced analytical techniques when required, Translate these analysed data insights into compelling narratives aligned with organizational strategic priorities, Regularly monitor, forecast, and report on key business metrics, Lead planning cycles and performance reviews to drive continuous improvement and adapt to change, Define and track the right metrics to measure progress against business goals, Design, execute, and evaluate experiments to validate business hypotheses, Accelerate root cause analysis and insight generation by building automation and self-serve analytics solutions, Collaborate with Business, Product, and Data Engineering teams to enhance data accuracy through improved instrumentation, feedback loops, and process refinements, Manage stakeholders effectively by aligning on priorities, communicating insights clearly, and driving data-backed decision-making,