AD/Sr. AD, Business Analytics - Oncology (Remote)

Description

The Associate Director, Business Analytics role supports multiple customer groups within the oncology therapeutic area & will be an expert in statistical methodologies for measuring marketing impact, will have a broad understanding of the pharmaceutical industry, and a deep familiarity with industry data sources, including claims data. This role requires using sophisticated analytics for projects including marketing mix modeling, ROI analyses on all relevant marketing programs/customer channels and promotional spends, patient data analytics such as patient flow analyses, non-personal promotion/digital analytics and reporting, customer profiling, targeting, and segmentation, and predictive modeling.

Responsibilities

• Conducts advanced analytics to brand teams/customer channels in support of brand planning and promotional resource allocation. Resource allocation in customer channels including digital and evolution of commercial model.
• Liaises between Marketing and Sales in the development of business tactics and strategies
• Responsible for leading the development of targets and segments that are aligned with business strategy.
• Responsible for executing departmental procedures and collaborating within the organization to ensure the marketing strategy is integrated into delivered sales force call plans for both in person and virtual / non-personal digital, telephone plans etc.
• Works with internal customers to assure that responsible analytical results are communicated and used effectively.
• Buils and shares knowledge of analytical methodologies and high-quality vendors including third party digital agencies with others in the department.
• Establishes work habits to support the therapeutic business function's evolving process and execution needs.

Requirements

• AD Requirements - Bachelor's degree and seven (7) years of analytic experience with relevant data sources and analytical methodologies.
• OR
• Master's degree and five (5) years of experience with relevant data sources and analytical methodologies.
• Proficiency in the development, documentation and communication of analytical plans.
• Proficiency in advanced analytical techniques including multivariate analytical and promotional responsiveness techniques.
• Proficiency in customer identification and segmentation that has influenced marketing and sales strategy.
• Experience in conducting digital analytics (non-personal marketing tactics such as email, banner, mobile and alerts) or working in another analytical field with a demonstrated passion for digital technology.
• Experience in using claims data to conduct patient data analytics, including but not limited to patient flow analyses, to better understand the patient journey.
• Experience in analyzing campaigns and performing in-campaign analytics to improve performance and working with Consumer marketing databases.
• Experience in understanding customer needs, incorporating in deliverable, and ensuring recommendations/results and implemented.
• Experience in coordinating insights from disparate functions and sources, e.g., marketing research, forecasts, etc., into a comprehensive and insightful analysis and/or recommendation.
• Proficiency in R/Python and / or SAS and other data extraction and analytical tools such as SQL, etc., Experience with Excel and Power Point.
• Strong interpersonal abilities.
• Expertise in Oncology and/or Rare Disease required.
• Ability to manage multiple projects at the same time.

Sr.AD

• Bachelor´s degree from an accredited institution required. Master´s/PhD preferred.
• BS/BA in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with eight (8) years, or Master's degree in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with six (6) years of healthcare/pharmaceutical industry or academic experience.
• Experience must also include working directly with product targeting, segmentation, digital media data reporting, claims data analysis, and promotion-response modeling.
• Strong statistical background with extensive modeling experience.
• Proficiency in SAS and other data extraction and analytical tools such as SQL. Experience with Excel and Power Point.
• Strong interpersonal abilities, can manage multiple projects and direct reports at the same time.
• Functional competencies: Analytical skills, Business orientation, influence
• Expertise in Oncology and/or Rare Disease required.