- Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed
- Monitor and forecast key business metrics on a regular basis
- Conduct regular planning and reviews key performance metrics and aid in benefiting from the change
- Identify the right metrics to track progress against a given business goal
- Design, run and measure experiments to test business hypotheses
- Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
- Develop compelling stories with business insights, focusing on the strategic goals of the organization
- Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
What you need to have :
- Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
- 1-3 years of experience in analytics/data science or related field
- Hands-on experience on data manipulation tools like SQL, R, SAS, Python, Excel etc.
- Exposure to BI Platforms like Power BI, Tableau etc.
- Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)
- Basic knowledge of machine learning techniques for Regression, Classification etc.
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