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Business Analyst at Swiggy


Short Description:

Swiggy, a leading on-demand delivery platform, seeks a skilled Business Analyst in Bangalore. The role involves leveraging analytics to solve diverse business challenges, forecasting key metrics, and collaborating across teams. The ideal candidate possesses a Bachelor's degree, analytics experience, and proficiency in tools like SQL, R, Python, and BI platforms. The position offers a dynamic work environment, exposure to varied domains, and opportunities for rapid career growth.


 

Position: Business Analyst

  • Job ID: 11799
  • Experience: 1-3 years
  • Location: Bangalore

Company Overview: Established in 2014, Swiggy stands as India’s foremost technology-driven on-demand delivery platform. Committed to enhancing urban consumer lifestyles, Swiggy provides unmatched convenience by linking millions of consumers to hundreds of thousands of restaurants and stores spanning 500+ cities. Our growth hinges on groundbreaking technology, innovative solutions, and informed decision-making.

About the Analytics Team: At Swiggy, the Analytics team collaborates with decision-makers to address challenges throughout our entire value chain. From refining restaurant menus to devising incentives for delivery executives, determining optimal marketing channels for consumers, and predicting demand in hyperlocal areas, our projects showcase the breadth of our work. If unraveling hyperlocal dynamics energizes you, come join us on this journey.

What to Expect:

  • Exceptional work environment acknowledged among LinkedIn’s "Top Companies Where India Wants to Work Now"
  • Exposure to multifaceted challenges across diverse domains
  • Direct implementation of solutions and involvement in critical organizational decision-making
  • Interaction with individuals from diverse backgrounds: Statisticians, Consultants, Programmers, and more
  • Flat organizational structure promoting an open and transparent culture
  • Merit-based rapid-growth atmosphere
  • Market-leading compensation and benefits

Qualifications:

  • Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
  • Experience in analytics/data science or related fields
  • Proficiency in data manipulation tools like SQL, R, Python, Excel, etc.
  • Familiarity with BI Platforms such as Power BI, Tableau, etc.
  • Knowledge of fundamental statistical measurement frameworks (measures of central tendency, dispersion, significance testing, etc.)
  • Basic understanding of machine learning techniques like Regression, Classification, etc.

Expectations:

  • Creative and structured problem-solving skills for real-world scenarios
  • Willingness to embrace a "fail fast, learn faster" approach
  • Adaptability to high-energy, fast-paced environments
  • Proficient verbal and written communication skills
  • Attention to detail and ability to self-direct work in unstructured settings
  • Strong partnership and collaboration skills for cross-functional teamwork
  • Good organizational skills including prioritization, scheduling, time management, and meeting deadlines

Responsibilities:

  • Analyze extensive, intricate datasets to tackle business challenges, utilizing advanced analytical methods when necessary
  • Regularly monitor and forecast crucial business metrics
  • Conduct routine planning and review of key performance metrics, facilitating adaptability to changes
  • Determine relevant metrics for tracking progress towards specific business objectives
  • Design, execute, and assess experiments to validate business hypotheses
  • Streamline root cause analyses and insights generation via automation/self-serve platforms for recurring use cases
  • Craft compelling narratives featuring business insights aligned with the organization's strategic goals
  • Collaborate with Business, Product, and Data Engineering teams for continual enhancement of data accuracy by providing feedback and scoping on instrumentation quality and completeness.

Please click here to apply.

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