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Swiggy Recruitment 2022
Business Analyst
Swiggy
Job Location : bangalore
Fri Jul 01 2022

Qualification : BE/B.Tech
Full Time
Salery : As per company standard

About Company
Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation.


Job Description

  • 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.

Skills Required

  • 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 organisation
  • 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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