Business Analyst | Swiggy | Bangalore, India | 1–3 years experience | Full-Time (Work from Office) | Bachelor’s Degree (Business/Engineering/Economics/Statistics or related) | SQL, Python, R, Excel, Power BI, Tableau, Statistics
Summary:
The Business Analyst at Swiggy plays a key role in driving data-informed decision-making across business and product functions. This role involves working with large datasets to generate insights, monitor performance metrics, and support strategic initiatives. The analyst collaborates with cross-functional teams including product, business, and data engineering to improve operational efficiency and data accuracy. By applying statistical techniques and analytical thinking, the role contributes directly to solving real-world business challenges in a fast-paced environment.
Key Responsibilities:
- Analyze large and complex datasets to identify trends, patterns, and actionable business insights
- Monitor, track, and forecast key business metrics to support operational and strategic decisions
- Define and measure performance indicators aligned with business goals and growth initiatives
- Design and execute experiments to test business hypotheses and evaluate impact
- Perform root cause analysis and automate recurring analytical processes for efficiency
- Develop dashboards and reports using BI tools to communicate insights effectively
- Collaborate with business, product, and data engineering teams to enhance data quality and instrumentation
- Translate business problems into analytical frameworks and data-driven solutions
- Present insights and recommendations through compelling storytelling aligned with organizational objectives
- Support planning and review cycles by providing data-backed performance evaluations
Tools/Technologies Used:
- Programming/Data Handling: SQL, Python, R, Excel
- Frameworks/Libraries: pandas, basic machine learning libraries (regression, classification)
- Platforms: Internal data platforms, analytics environments
- Tools: Power BI, Tableau, data visualization tools
- Concepts: Data Analytics, Statistical Analysis (central tendency, dispersion, hypothesis testing), Machine Learning (Regression, Classification), Experimentation (A/B Testing), Business Metrics Tracking, Data Storytelling