Business Analyst

Swiggy · Bengaluru

  • Experience1–2 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Leveljunior
  • Posted21 Sept 2026

About Swiggy

Swiggy is hiring in Bengaluru in ecommerce retail. This role looks for around 1+ years of experience.

Skills

  • SQL
  • R
  • Python
  • Microsoft Excel
  • statistical analysis
  • machine learning
  • regression
  • classification
  • experimentation
  • business analytics

The role

A business analyst at an e-commerce marketplace develops business insights through statistical analysis, designs experiments, forecasts metrics, and automates root-cause analysis with SQL, Python, and Tableau. The role also applies machine learning to evaluate business hypotheses and improve data quality with product and engineering teams.

Full job description

Swiggy is hiring for the role of Business Analyst!

Responsibilities of the Candidate:

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.

Requirements:

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.