Highlights
Creative problem-solving, hands-on data manipulation tools, BI platforms, statistical frameworks, machine learning.
Description
Job Summary
pJoin Swiggy, India's largest on-demand platform for food, groceries, and essentials. As a Data Analyst, you'll work in a dynamic environment where creative thinking meets complex problem-solving. You’ll handle large data sets to drive business growth by forecasting trends, identifying key metrics, and conducting experiments.
Responsibilities
- Work with large, complex data sets to solve real-world problems
- Monitor and forecast key business metrics regularly
Required Skills
- Data manipulation tools (SQL, R, Python)
- BI Platforms (Power BI, Tableau)
- Statistical measurement frameworks
- Machine learning techniques (Regression, Classification)
- Strong analytical and problem-solving skills
Required Skills Explained
- 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
- 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.
- Basics of statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing)
- Basic knowledge of machine learning techniques like Regression, Classification
Who is this for
pWe're looking for individuals who are detail-oriented, comfortable in a fast-paced environment, and eager to drive data-driven decisions. This role suits those with a background in analytics or a related field, seeking to make a significant impact on our growing platform.
Why This Job is a Good Opportunity
ulliWork in India's largest on-demand convenience platform with a robust logistics network.liJoin a company that has been recognized as one of LinkedIn’s top companies to work for in India.liGain exposure to challenging problems across multiple domains and the ability to implement solutions directly.liEngage with diverse teams including statisticians, consultants, programmers, and more.liEnjoy a flat organization structure with an open and direct culture, offering fast growth opportunities.liCompetitive market-leading compensation and benefits package.
Interview Preparation Tips
- Review Swiggy's company background and its impact on the Indian market.
- PRACTICE your communication skills through verbal and written exercises focusing on clarity and precision.
- Become proficient in SQL, R, Python, Excel, Power BI, Tableau, and other relevant tools.
- Prepare examples of how you have used advanced analytical methods to solve business problems in past roles.
- Develop a clear understanding of statistical measurement frameworks and machine learning techniques.
Career Growth in This Role
pThe role offers significant career growth potential within the analytics department at Swiggy. With experience, one can progress towards leadership positions such as Senior Data Analyst or even take on strategic roles like Business Intelligence Manager. The company's fast-paced environment encourages innovation and continuous learning, providing ample opportunities for skill enhancement and career advancement.pBy working closely with business, product, and data engineering teams, you will gain a comprehensive understanding of the organization’s operations and contribute to its success through data-driven insights. This role is not only about analyzing data but also transforming it into actionable strategies that can drive growth and impact at a large scale.
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Skills
Frequently Asked Questions
What kind of data manipulation tools are used at Swiggy?Swiggy primarily uses tools like SQL, R, Python, Excel for data manipulation.
Is this role suitable for someone with less experience?We require a minimum of 1 year of core analytics experience. However, we value learning and growth opportunities.
What kind of experiments will I be conducting as a Data Analyst?You'll conduct experiments to test business hypotheses, such as improving customer satisfaction or optimizing delivery times.
