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