Swiggy - Analyst - Finance Data

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.

What can you expect?

- Excellent work environment - rated among- 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

- 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

- Experience in analytics/data science or related field

- Hands-on experience on data manipulation tools like SQL, R, Python

- Hands on experience of advanced excel

- Exposure to BI Platforms like Power BI, Tableau etc.

- Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing 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.

- Gather on ground insights

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