Roles & Responsibilities

  • Displays structured problem solving, application of right tools & techniques to solve open ended
    problems, Creates productized analytics solutions or frameworks independently.
  • Understand Business & product problems and come up with deep data backed solutions.
  • Root cause analysis and Deep dive analysis of certain product problems
  • Running and maintaining the reporting system, presenting insights at a weekly forum
  • Building templates, dashboards in Power BI, Gsheets for operational and management reporting
  • Data extraction as per business request for Ad hoc analysis
  • Business analysis and understanding
  • Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance
  • Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing

Desired Skills and Experience:

  • 1 - 3 years working with large data sets and conducting quantitative analysis
  • Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions).
  • Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python
  • Previous experience with working on ecommerce funnels, retention
  • Ability to think through product and business metrics to assess product features
  • Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus
  • Quick learner and ability to work in dynamic work environment
  • Team player and comfortable interacting with people from multiple disciplines
  • Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive

Qualifications

  • Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a
    reputed institute

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