Swiggy - Business Analyst - Python/SQL

What can you expect?

- Excellent work environment

- 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 benefitsWhat 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.

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.

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