Customer Analytics - Financial Services

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:

- 1-4 years of analytics overall experience, including atleast 1 years of quantitative analysis in the FS 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 FS clients

- Develop predictive analytics based solutions for:

a) Customer Segmentation

b) Statistical Models across customer Lifecycle

c) Attrition / Cross-Sell / Upsell Propensity Models

d) Customer Lifetime Value

e) Pricing Analytics

f) 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

Will include lots of international Travelling