Customer/Predictive/Statistical Analytics - Pharma/Healthcare/Lifesciences

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:

- 1-7 years of analytics overall experience, including at least 2 years of quantitative analysis in pharma/Healthcare/Lifesciences

- 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

You will be responsible for: -

- Develop methodologies to support Customer Analytical project execution

Develop predictive analytics based solutions for:

- Customer Segmentation

- Statistical Models across customer Life cycle

- Attrition / Cross-Sell / Up sell 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