Manager, Marketing Analytics - Immunology at AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Primary Responsibilities:

• Become a trusted and influential business partner to commercial brand stakeholders, through providing analytical insights and recommendations on key business questions for a critical growth brand for AbbVie
• Strengthen the organizations understanding of marketplace performance and opportunities through tracking, modeling, and analysis of physician- and patient-level dynamics, while also considering competitive and economic factors
• Conduct regular national and sub-national analysis and report key insights to stakeholders that include senior leadership, Marketing and Sales leadership.
• Identify and address key business issues relative to product performance, ensuring that multiple stakeholder perspectives are considered, and synthesizing all available information relevant to the issue
• Evaluate the impact & contribution of various promotional tactics [directed to physicians and also consumers] on new patient starts and total prescription volume
• Guide development of marketing investment strategy to increase the effectiveness and/or efficiency of promotional activities [through marketing mix] and influence the deployment of specific promotional tactics through local optimization recommendations.
• Inform the financial forecasting and brand planning processes through the application of patient flow models and scenario simulations
• Utilize innovative, advanced modeling and analytic methods and produce results that fully leverage available data and analytics.
• Meaningfully communicate insights and information to a broad group of stakeholders through exceptional oral and written communication

Valued Attributes:

• Analytic skills as defined by one or more of the following:
  • Statistics / Data Science: experienced practitioner of rigorous techniques, who can accurately interpret analysis / model results. Strong statistical or econometric backgrounds valued.
  • Programming: ability to define business rules and write query / codes to accurately pull and organize the right data
  • Visualization: adept at selecting appropriate visualizations to convey data, and comfortable creating polished PowerPoint presentations
  • Storytelling: ability to create a cohesive narrative that addresses the key business questions without sacrificing data integrity or losing the plot. Anticipate and address stakeholder needs / questions in credible ways.
• Resourceful problem solver who can demystify complex information for others
• Strong communication, presentation and inter-personal skills
• Strategic, results driven self-starter with a learning mindset
• Collaborative team player who can elevate others and build strong partnerships
• Consistent accountability: impeccable organizational and project management skills; keen attention to detail and conscientious of deliverable quality

Basic Requirements:

• Bachelor's Degree in a technical / science / engineering field
• 3-5 years experience in quantitative analysis of sales and marketing data and the use of this information in the development of business plans and strategies.
• Working knowledge of multivariate statistics (incl. deriving causality from observational datasets), applied machine learning techniques, and business intelligence tools
• Strong teamwork / communication skills and a proven ability to collaborate effectively with senior management, and multiple teams in a matrix organization.
• Command of the following software programs: Microsoft Office suite [Excel, PowerPoint, Access], SQL. Experience with SAS / SPSS / PowerBI preferred

Preferred Requirements:

• Masters degree in Analytics, Statistics, Economics, Business Administration, Marketing or in a closely related field of study with a concentration in marketing/sales/quantitative analysis
• Experience analyzing pharmaceutical datasets (patient level, sub-national, and national)
• Management consulting

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.

• This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion, consistent with applicable law.

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.