Qualifications:
- Experience working with complex analytical tools, such as SAS or R
- Experience with data visualisation tools, such as Tableau/Spot fire/Qlikview
- Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, etc.
- Proven ability to dig-in and understand the data and to leverage creative thinking and problem-solving skills to create new data models
- 2-4 years of database experience with advanced SQL skills; experience researching and manipulating complex and large data sets (both distributed and non-distributed)
- Proficient in one or more scripting languages, such as Python or Scala
- Strong understanding with data infrastructure, data warehouse, or data engineering
- Coordinate with business planners and decision makers to translate business questions into verifiable data models and hypothesis
- Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key data
- Knows MS Excel & PowerPoint
- Bachelors in Engineering or Masters in Statistics/Economics
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