Swiggy Hiring Drive 2024 For Business Analyst | Location Bangalore

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Swiggy Hiring Drive 2024: Swiggy Hiring Drive 2024 for its Business Analyst. Swiggy Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field. if you are interested, please apply as soon as possible.

Company Name: Swiggy

Role: Business Analyst

Location: Bangalore

Experience: 1-3 years

Qualification: Bachelor’s degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field

Batch: Any

Job Type: Full Time

Salary: 12.6 LPA (Expected)

Swiggy Hiring Drive 2024 

Job Description:

  • The Analytics team at Swiggy partners with decision-makers to solve problems across our entire value chain.
  • Improving menus for our restaurant partners, to developing incentives for delivery executives, recommending the best channel for marketing to consumers and predicting demand in hyperlocal geographies are all examples of the repertoire of projects that we undertake.
  • If decoding hyperlocal excites you then come, join us on this journey.  

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  • 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, 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.


  • 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
  • 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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