Customer Analytics Role - Retail/FMCG

- 2-7 years of analytics overall experience, including at least 2 years of quantitative analysis in the Retail / FMCG Industry.

- Hands on experience in Predictive analytics projects involving statistical modeling, customer segmentation etc.

- MS in Statistics, Data Mining, Econometrics or related fields or MBA (Preferred)

- Exposure to US/ overseas Markets is preferred

- Develop methodologies to support Customer Analytical project execution for Retail / FMCG clients

- Develop predictive analytics based solutions for

- Customer Segmentation

- Statistical Models across customer Lifecycle

- Attrition / Cross-Sell / Upsell Propensity Models

- Customer Lifetime Value

- Pricing Analytics

- Web Analytics

Apply appropriate techniques, such as exploratory data analysis, regression, bootstrapping, trees, cluster analysis, survival analysis and so on .

- Proficiency in one or more of analytical tools such as SAS product suite (Base Stat, E-miner, SAS EGRC), SPSS, SQL, KXEN and any other statistical tools such as R, Matlab etc.

- Advanced Excel including VBA and PowerPoint skills

Domain : retail/ FMCG

Education : MSc (Stats)/ MBA/ BSc (Stats)/ BE/ B.Tech

Location : Mumbai