Details:
- 3-4 years experience in a similar tole in Advance Analytics. Candidate should have mandatory worked on at least one project/assignment where final output was a predictive model and/or which involved segmentation. For example: segmentation using CHAID, response model, propensity model, attrition model, tier migration model etc.
- Good working knowledge and good grasp over SQL (data querying tool) + R software / Base SAS / SPSS, advanced skills in MS Excel & Power-point
- Comfortable working with data, numbers, spreadsheets, trouble-shooting programming codes (SAS / R / SPSS)
- Bonus points for knowledge of Microsoft Power BI / Python, Visual Basic, Big data experience, real-time analytics, etc
Min. Qualification:
- MBA or Master's degree in Statistics or Social Sciences (Economics, Applied Economics, Econometrics) OR&
- Bachelor's or Master's degree in a quantitative discipline (e.g.: Engineering, IT, Computer Applications)
Skills Required:
analytics, bigdata, excel, Power BI, Power point
Responsibility:
- Understand business problems across different verticals and develop advanced segmentation and predictive models
- Interpret and present results/insights/information in a lucid manner to Co. business teams and/or to senior management Co. & business partners
- Complete complex business analysis backed by data on an independent basis (data extraction to final presentation)
- Work with other functional teams to apply models to enhance customer experience and relevance to customers