Analyst/Consultant - Customer Analytics - Retail/CPG

Provide consulting support to solve for business problems in the area of customer analytics for the Products domain through Predictive analytics based solutions and perform quantitative ad-hoc analyses to create valuable insights from data.

Key Competencies and Characteristics:

- 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

- Consulting skills and project management experience is preferred

- Excellent communication and interpersonal skills

- Ability to tie analytic solutions to business/industry value and outcomes

Experience:

- 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

As a Analyst / Consultant you will be responsible for:

- 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

- Develop and articulate strategic recommendations based on rigorous data analysis

- Partner with client teams to understand business problems and marketing strategies