Merck - Manager, Customer Engagement Optimization (Senior Specialist band)

Overview

The Customer engagement Optimization manager will be part of the Marketing Analytics and Investment Optimization (MAIO) group, providing the US Human Health (USHH) Marketing & Sales decision-makers with analytically and data driven recommendations for superior decision making regarding the allocation of promotional resources across channels, brands and customer segments.

More specifically, the candidate will support the Hospital and specialty Business Unit, working with Leadership of Sales, Marketing & Commercial Operations. The candidate will provide guidance and help define strategies to implement data-driven sales force plans, perform segmentation and targeting analysis for both personal and digital promotion using machine learning and predictive models: Be an active member of DETs (Digital Engagement Teams) for various brands in the portfolio. The candidate will also collaborate with colleagues within the MAIO to continue to enhance current and future methodology that will benefit the full portfolio across all Business Units, developing predictive analytics at the customer level.

Requirements

  • Strong and demonstrated communication and leadership skills are critical in order to develop, propose and convey technical concepts to business customers and expected as an active team member of DETs.
  • Ability to develop concise and Decision driven presentations that will inform decisions made by Senior Leaders.
  • The candidate must also have demonstrated strong client and project management experience, having to manage multiple analytical projects simultaneously and foster collaboration with colleagues.
  • As a fair portion of the role will also require the development of hands on analytics and predictive solutions, working knowledge of SAS, Excel and other analytical tools are required.
  • The candidate must have at least 4 years of experience in developing and applying predictive analytics solutions to solve similar business challenges in the Health Care, Pharmaceutical, CPG or Banking industry.

Preferred

  • Experience with R, Python a plus.
  • Understanding of the Health Care or Pharmaceutical industry and experience in using various 3rd party data sources, such as IMS Exponent, DDD, HCOS would be ideal but not required.

Education

  • Required: Bachelor's Degree in Statistics, Mathematics, Operation Research, Data Science, Engineering or any Quantitative Decision field.
  • Preferred: Master's Degree

If you are interested in this position, please forward your resume to staffing@tgas.com.