About the Role
We are hiring multiple Data Analysts to join our fast-growing analytics team. Experience a fast interview process with quick turnaround, working on high-impact problems that influence decisions for millions of users.
This role offers the opportunity to work with large datasets, drive business insights, and directly contribute to strategic decision-making across the organization.
About the Company
Swiggy is India’s largest on-demand convenience platform, operating across 500+ cities with a robust logistics network. From food delivery to groceries and hyperlocal services, Swiggy powers seamless digital experiences for millions of users across the country.
Key Responsibilities
- Analyze large and complex datasets to solve business problems
- Monitor, forecast, and track key business metrics
- Design and run experiments to test business hypotheses
- Perform root cause analysis and generate actionable insights
- Collaborate with business, product, and data teams to improve data quality
Skills & Experience
- Experience in analytics, data science, or related fields
- Proficiency in SQL, Python, R, or Excel
- Familiarity with BI tools such as Power BI or Tableau
- Understanding of basic statistical concepts and measurement frameworks
- Ability to work with large datasets in fast-paced environments
What We’re Looking For
- Strong problem-solving and analytical thinking
- Ability to work in unstructured, high-energy environments
- Effective communication and storytelling with data
- Strong collaboration and stakeholder management skills
Apply Even If…
You don’t meet every requirement listed above. We encourage you to apply if you’re passionate about solving business problems using data.
Additional Highlights
- Work on real-world business problems with measurable impact
- Exposure to cross-functional teams and decision-making processes
- Be part of a fast-paced, high-growth environment
Key Skills
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- Posted
- Apr 15, 2026
- Type
- Full-time
- Level
- Associate
- Location
- India
- Company
- Swiggy
Industries
Categories
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