Analytics & Statistical Modeling - Marketing

Analytics & Statistical Modeling/Modeling - Marketing Analytics (Insurance Domain)

General Requirement:

MARKETING ANALYTICS & INSURANCE DOMAIN

- The Statistician will demonstrate 4-7 years experience of using a variety of statistical tools and techniques.

- The candidate must possess hands-on experience in developing, implementing, and maintaining predictive statistical models, also should have excellent interpersonal skills and the ability to manage a small team of statistical analysts.

- Will be required to develop and maintain detailed documentation for every activity/sub-activity and liaise with the domain lead throughout the project lifecycle.

Technical / Personal Expertise:

- Must have hands-on experience in building statistical models using SAS Enterprise Miner / Enterprise Guide/ Base SAS and using data mining tools such as Teradata SQL.

- Experience in using R is recommended.

- Basic understanding of data warehousing principles/architecture

- Proficiency in data mining and statistical tools to conduct customer segmentation, clustering, decision tree/CART/CHAID, logistic regression, product affinity analysis, market mix modeling, customer lifetime value, survival analysis

- Experience in reporting analytic solutions, demonstrating good communication and presentation skills

- Should be very detail oriented and committed to producing high quality results within strict deadlines

- Ability to performing work with minimal supervision within a collaborative group environment

- Proficient in using SAS, SAS EG, SAS EM, R, SQL, Excel, VBA and PowerPoint

Interested, kindly share your updated cv to sharan@pylonmc.com