- Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and comprehend.
- Able to analyse data independently, and draw out salient insights. Able to define the workflow for oneself and BAs 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 training on the same for the organization.
- Contribute to org level activities, such as taking interviews.
Competencies:-
- Relevant analytics experience in Retail, e-commerce, Telecom, or any other domain
Technical Capabilities :
- Excel - Mandate
- MSFT PowerPoint
- VBA
- SQL - Teradata - HIVE
- Statistical Packages - R, SAS; Python, PySpark, Scala is a plus
- Statistical Modelling and/or Machine Learning
- Visualization capabilities - Tableau, Qlik-view, Spotfire, MSFT BI, Looker
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