Data Analyst

Company Details

Swiggy is India’s largest on-demand convenience platform, redefining the way people access food, groceries, and everyday essentials. Established in 2014, Swiggy operates across 500+ cities with a robust logistics network that ensures fast and reliable doorstep delivery. From restaurant meals to groceries via Instamart and hyperlocal pick-up and drop services through Genie, Swiggy has become an integral part of daily life for millions of Indians, combining technology, scale, and convenience in a seamless digital experience.

Job Roles & Responsibilities

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 6. Merit-based fast-growth environment
• Market-leading compensation and benefits

What do we expect from you?

• Creative and structured thinking to solve real-world problem.
• Fail fast, learn faster approach.
• Comfortable in a high-energy, fast-paced environment.
• Proficient verbal and written communication skill.
• 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 deadline.

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.

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.