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 sub-national analysis and report key insights to stakeholders that include senior leadership, Marketing and Sales leadership, and field sales representatives.
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 :
o Statistics / Data Science : experienced practitioner of rigorous techniques, who can accurately interpret analysis / model results.
Strong statistical or econometric backgrounds valued.
o Programming : ability to define business rules and write query / codes to accurately pull and organize the right data
o Visualization : adept at selecting appropriate visualizations to convey data, and comfortable creating polished PowerPoint presentations
o 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
Qualifications / 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.
Preferred Requirements :
Masters degree in Pharmaceutical Sciences, Business Administration, Chemistry, Biology, Engineering Economics, Statistics, 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)
Experience with SAS / SPSS / PowerBI
Management consulting
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.
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