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AbbVie Manager I/II, Marketing Analytics in Mettawa, Illinois

Company Description

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.

Job Description

The Marketing Analytics and Business Insights (MABI) function supports AbbVie’s US organization and is comprised of highly respected researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as a strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative – and we’d love for you to join us.

  • Become a trusted and influential business partner to commercial and medical stakeholders through providing analytical insights and recommendations on key business questions for an exciting launch brand

  • Strengthen the organization’s understanding of marketplace performance and opportunities through tracking, modeling, and analysis of physician, patient, managed care data, while also considering competitive and economic factors

  • Inform the financial forecasting and brand planning processes through the application of predictive patient flow models and scenario simulations

  • Develop fact-based promotional investment strategies that increase the return on investments, both broadly through marketing mix analysis and in daily applications

  • Meaningfully communicate insights and information to a broad group of stakeholders through exceptional oral and written communication

Valued Attributes: must have at least two of the following

  • Analytics skills:

  • Programming: ability to define business rules and write query code to accurately pull and organize the right data

  • Data Science: genuine practitioner of rigorous techniques and can accurately interpret/derive results. Strong statistical or econometric backgrounds valued.

  • Visualization: adept at selecting appropriate visualizations to convey data and comfort 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 questions in credible ways.

  • Resourceful problem solver who can demystify complex information for others

  • 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 details and conscientious of deliverable quality

Qualifications

Qualifications:

  • Bachelor's degree in a technical or science field

  • Minimum of 5+ years of quantitative analysis

  • Working knowledge of multivariate statistics (incl. deriving causality from observational datasets), applied machine learning techniques, business intelligence tools (Tableau, PowerBI, Dataiku, etc.), and Excel and Powerpoint

  • Ability to creatively problem solve and then demystify complex information for stakeholders

  • Ability to influence without authority at times and communicate effectively

  • Ability to build strong partnerships while advancing practices

  • Intrinsically driven with a bias for action; proactive self-management and prioritization skills

  • Comfort navigating ambiguity at times and resourceful at achieving objectives

Preferred

  • Masters/MBA preferred

  • Experience analyzing pharmaceutical datasets (patient level, sub-national, and national)

  • Management consulting

  • Product launch experience

Can hire at a Grade 18 or 19. Talent will be hired at a level commensurate with experience.

Additional Information

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 Company’s 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 AbbVie’s 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.

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