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:
4 - 6 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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