Experience: 2 years - 4 years
Education requirement: B. Tech/BE or MSc or MBA or MTech in Stats, Economics, Mathematics, Finance or any other quantitative discipline
Primary Role:
- Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and comprehend
- Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and Associates on a daily or periodic basis, contingent on the requirements of the project
- Able to contribute meaningfully to brainstorming discussions around nuances of the project
- Comfortable with statistical procedures, such as basic distributions, regressions, logistic models
- Experience with advanced statistics and Machine Learning algorithms is a plus
- Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project
- Comfortable in representing the proceedings and/or findings in a power-point
- Comfortable in mentoring junior resources, and creating an environment of learning in the team
- Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies
- Develop and define an area of expertise and take relevant trainings on the same for the organization
- Contribute to org level activities, such as taking interviews
Competences:
- Relevant analytics experience in Retail, e-commerce, Telecom, or any other domain
Technical Capabilities:
- SQL
- MSFT PowerPoint
- Excel
- Statistical Packages - R and/or Python - Mandate; PySpark, Scala is a plus
- Statistical Modelling and/or Machine Learning, Deep Learning
- Big Data Environments such as Hadoop, Hive, etc.
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