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Python, ETL, AWS, Data Engineer.
killsets: SAS, Python, Hive
Analytics experience in Financial Services industry in Marketing/ Digital/ Customer experience areas
Familiarity with Credit cards and Banking business
Experience in usage of different analytical techniques, like segmentation, predictive modeling, time series forecasting, hypothesis testing, optimization etc.
Experience in working with data from different sources & of different complexity
Years of exp 5-7 years
Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytics solutions accordingly.
Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.
Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
Fixed CTC of 28 LPA