Business Analyst
Swiggy · Bengaluru, Karnataka, India
- On site
- Full-time
- ₹1,200,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Analyze complex data to solve business problems.
- Develop and forecast key business metrics.
- Design and measure experiments for hypotheses.
- Collaborate with cross-functional teams.
- Utilize SQL, Python, R, and BI tools.
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, incredible 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, 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 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 organisation
- Interact with people from various backgrounds - a mix of Statisticians, Consultants, and Programmers
- Flat organization structure with 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 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 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 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
- Statistics
- Machine Learning
- Analytics
- Swiggy
- India
How to get hired
- Tailor your resume: Highlight your analytical experience, SQL, Python, R, and BI tool proficiency for the Business Analyst role at Swiggy.
- Showcase problem-solving: Emphasize your experience with large datasets and your ability to derive business insights.
- Quantify achievements: Use data and metrics to demonstrate the impact of your analytical work.
- Prepare for technical questions: Be ready to discuss your experience with SQL, statistical frameworks, and machine learning.
- Understand Swiggy's culture: Research Swiggy's values and demonstrate your fit for a fast-paced, innovative environment.
Technical preparation
Master SQL for complex data queries.,Practice Python/R for data analysis.,Build dashboards in Power BI/Tableau.,Review statistical concepts and ML basics.
Behavioral questions
Describe a complex problem you solved.,How do you handle ambiguity?,Give an example of cross-functional collaboration.,How do you manage multiple deadlines?
Frequently asked questions
- What are the typical career growth opportunities for a Business Analyst at Swiggy?
- At Swiggy, a Business Analyst can expect opportunities to grow within the Analytics team, potentially moving into senior analyst roles, or specializing in areas like data science or product analytics. The flat organizational structure and merit-based growth environment encourage rapid advancement for high performers.
- What kind of work environment can I expect as a Business Analyst at Swiggy?
- Swiggy offers an excellent work environment, recognized by LinkedIn as a top company. You can expect a high-energy, fast-paced setting with a flat organizational structure, open culture, and opportunities to collaborate with diverse teams on challenging problems.
- How important are technical skills like SQL and Python for the Business Analyst role at Swiggy?
- Technical skills such as SQL, R, Python, and familiarity with BI platforms like Power BI and Tableau are crucial. Proficiency in these tools is essential for data manipulation, analysis, and visualization required to solve business problems and generate insights.
- What is Swiggy's approach to data-driven decision-making for Business Analysts?
- Swiggy's Analytics team is central to decision-making across the value chain. Business Analysts are expected to work with large datasets, apply advanced analytical methods, monitor key metrics, and design experiments to test hypotheses, directly influencing strategic business outcomes.
- Does Swiggy offer opportunities for continuous learning and development for Business Analysts?
- Yes, Swiggy provides exposure to challenging problems across multiple domains and a fast-growth environment. The 'fail fast, learn faster' approach encourages continuous learning and skill development as you work on impactful projects.