Role : Analyst
Location : Bangalore, India
Job Description
Having been established in 2014, Swiggy is the top tech-driven on-demand delivery platform in India, with the goal of improving urban consumers' quality of life by providing unmatched convenience. The platform is designed to link hundreds of thousands of retailers and restaurants with millions of customers in more than 500 locations. Our extraordinary expansion has been made possible by excellent technology, amazing creativity, and wise decision-making.
Responsibilities
- When addressing business challenges, work with sizable, intricate data sets and using sophisticated analytical techniques.
- Regularly track and predict important company indicators
- Plan ahead frequently, evaluate important performance indicators, and assist in gaining advantages from change.
- Choose the appropriate KPIs to monitor your progress toward a certain business objective.
- Create, carry out, and evaluate experiments to validate business theories.
- Through automation and self-serve platforms, expedite root cause analysis and insight creation against a specific recurring use case.
- Create engrossing narratives with business insights while keeping the organization's strategic objectives front and center.
- Collaborate with the business, product, and data engineering teams to continuously enhance the accuracy of the data by providing feedback and estimating the quality and completeness of the instrumentation.
- Get firsthand knowledge of the situation.
Education Qualification
- a bachelor's degree in statistics, mathematics, business administration, engineering, economics, finance, or a similar quantitative subject
- expertise in a relevant subject such as analytics or data science
- practical knowledge of data manipulation programs such as SQL, R, and Python
- practical knowledge of sophisticated Excel
- exposure to BI platforms, such as Tableau, Power BI, and others.
- familiarity with the fundamental statistical measurement frameworks, including significance tests, dispersion, distribution, and central tendency measurements.
Skills
- expertise in a relevant subject such as analytics or data science
- practical knowledge of data manipulation programs such as SQL, R, and Python
- practical knowledge of sophisticated Excel
- exposure to BI platforms, such as Tableau, Power BI, and others.
- familiarity with the fundamental statistical measurement frameworks, including significance tests, dispersion, distribution, and central tendency measurements.
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