Business Analyst
Swiggy · Bengaluru, Karnataka, India
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- On site
- Full-time
- ₹1,200,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Analyze complex data to solve business problems.
- Monitor and forecast key business metrics.
- Design and run experiments to test hypotheses.
- Collaborate with cross-functional teams.
- Develop business insights and compelling stories.
About the role
About Swiggy
Founded in 2014, Swiggy is India’s leading tech-driven on-demand delivery platform with a vision to elevate the quality of life for the urban consumer by offering unparalleled convenience. The platform is engineered to connect millions of consumers with hundreds of thousands of restaurants and stores across 500+ cities. Our phenomenal growth has come on the back of great technology, innovation, and sound decision-making.The Analytics team at Swiggy partners with decision-makers to solve problems across our entire value chain. Improving menus for our restaurant partners, 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 LinkedIn’s “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 organization.
- Interact with people from various backgrounds - a mix of Statisticians, Consultants, and Programmers.
- Flat organization structure with an open and direct culture.
- 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 1 yr of core Analytics experience.
- Experience in analytics/data science or related field.
- Hands-on experience on data manipulation tools like SQL, R, Python, Excel etc.
- Exposure to BI Platforms like Power BI, Tableau etc.
- Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.).
- Basic knowledge of machine learning techniques like Regression, Classification etc.
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?
- Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed.
- Monitor and forecast key business metrics regularly.
- Conduct regular planning and reviews of key performance metrics and aid in benefitting from change.
- Identify the right metrics to track progress against a given business goal.
- Design, run, and measure experiments to test business hypotheses.
- Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms.
- Develop compelling stories with business insights, focusing on the strategic goals of the organization.
- Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.
Key skills/competency
- Business Analysis
- Data Analysis
- SQL
- Python
- R
- Excel
- Power BI
- Tableau
- Statistical Analysis
- Machine Learning
Skills & topics
- Business Analyst
- Data Analysis
- SQL
- Python
- R
- Excel
- Power BI
- Tableau
- Statistical Analysis
- Machine Learning
- Analytics
- Data Science
- Swiggy
- India
How to get hired
- Tailor your resume: Highlight analytical skills, SQL, Python, R, Excel, and BI tools.
- Showcase experience: Emphasize problem-solving and data-driven decision-making.
- Prepare for interviews: Practice SQL queries and statistical concepts.
- Understand Swiggy's mission: Align your application with their growth and innovation focus.
- Demonstrate collaboration: Provide examples of cross-functional teamwork.
Technical preparation
Practice SQL queries for data extraction.,Review statistical concepts and frameworks.,Prepare for Python/R coding exercises.,Understand BI tool functionalities.
Behavioral questions
Describe a complex problem you solved.,How do you handle ambiguity?,Give an example of cross-functional collaboration.,How do you prioritize tasks?
Frequently asked questions
- What are the core responsibilities of a Business Analyst at Swiggy?
- As a Business Analyst at Swiggy, you will work with large datasets to solve business problems using advanced analytical methods. You'll monitor and forecast key business metrics, design and measure experiments, and collaborate with business, product, and data engineering teams to improve data accuracy and drive strategic goals.
- What technical skills are essential for the Business Analyst role at Swiggy?
- Essential technical skills include hands-on experience with data manipulation tools like SQL, R, Python, and Excel. Familiarity with BI platforms such as Power BI and Tableau, along with knowledge of basic statistical measurement frameworks and machine learning techniques like Regression and Classification, is also required.
- What kind of work environment can I expect at Swiggy?
- Swiggy offers an excellent work environment, recognized by LinkedIn's 'Top Companies Where India wants to work now' list. You can expect exposure to challenging problems, a flat organization structure with an open culture, a merit-based fast-growth environment, and market-leading compensation and benefits.
- How important is collaboration for a Business Analyst at Swiggy?
- Collaboration is highly valued. You will work closely with Business, Product, and Data Engineering teams, requiring excellent partnership and communication skills to ensure continuous improvement of data accuracy and to drive business decisions effectively.
- What is Swiggy's approach to problem-solving?
- Swiggy encourages a 'fail fast, learn faster' approach. We expect creative and structured thinking to solve real-world problems, with a detail-oriented mindset and the ability to self-direct work in an unstructured, fast-paced environment.
- What academic background is preferred for this Business Analyst position?
- A Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field is preferred. A minimum of 1 year of core Analytics experience is also required.