Swiggy, India’s top tech-driven on-demand delivery platform, was founded in 2014 with the goal of improving urban consumers’ quality of life by providing unmatched convenience. The platform is designed to link millions of customers with tens of thousands of eateries and retail establishments spread over more than 500 locations. Our extraordinary expansion has been made possible by excellent technology, amazing innovation, and wise decision-making.
Swiggy’s analytics team collaborates with decision-makers to find solutions to issues that arise throughout our whole value chain. Examples of the range of projects we work on include enhancing menus for our restaurant partners, creating incentives for delivery personnel, suggesting the most effective way to reach consumers, and forecasting demand in hyperlocal areas. Come and participate if deciphering hyperlocal intrigues you.
Benefits:
- 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
Eligibility:
- Bachelor’s degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
- 1.5 – 2.5 years of 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.
Requirements:
- 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
Job:
- 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 organisation
- Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
