Job Description
This role requires a skilled data analyst with 1-3 years of experience in handling large datasets and conducting quantitative analysis. You'll be responsible for solving complex problems using data, creating analytical solutions and frameworks, and presenting insights to stakeholders. Your expertise in SQL and data manipulation languages like R/Python is crucial, along with a solid understanding of statistical models and product experimentation. You'll also be involved in building dashboards, conducting ad-hoc analysis, and evaluating product performance metrics. This fast-paced environment demands a quick learner who thrives in dynamic environments and excels as a team player.
Good To Have:
- Experience with product experimentation, A/B Testing, and regressions
- Ability to think through product and business metrics
- Knowledge of business modelling and basic knowledge of financial metrics
Must Have:
- 1-3 years of experience with large data sets and quantitative analysis
- Strong understanding of Statistics and building statistical models
- Excellent knowledge of SQL and intermediate knowledge of R/Python
- Experience with ecommerce funnels and retention
- Proficient in building dashboards using Power BI
- Bachelor's degree in engineering, computer science, economics, statistics, or related fields
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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