Associate Director, Advanced Analytics

About the Role

Key Responsibilities

• With minimal guidance, deliver impactful commercial advanced analytics projects to guide business decision making.
• Answer key business questions and identify business opportunities by analyzing data from industry and internal sources.
• Translate insights gleaned from advanced analytics into clear and compelling recommendations for non-technical audiences.
• Collaborate closely with cross-functional partners in Insights & Analytics, Marketing, Managed Care, Field, Commercial Operations, and IT to deliver on advanced analytics projects.
• Develop analytical data layers for anonymized patient claims data to support various analytics needs.
• Perform patient analytics using Real-World Data sources such as anonymized longitudinal patient claims data and lab/diagnostic testing data.
• Evaluate and optimize channel performance and ROIs of digital channels in an omnichannel environment.
• Transform business goals into measurable KPIs and support the development of statistical analysis and analytical plans on multichannel/digital marketing activities.
• Create marketing mix models and promotion response analyses.
• Develop predictive models to anticipate customer needs, improve customer experience, and optimize promotional efforts across channels.
• Conduct commercial life sciences market access data analysis, including pull-through analysis, payer-plan segmentation, and rebate optimization.
• Standardize and automate recurring data analytics requests.
• Oversee development of dashboards, reports, and ad-hoc analyses to support commercial decision-making.
• Keep abreast of key market events, competitor activities, and assess their potential impact.

Requirements

• Proven track record of developing and executing successful advanced analytics projects across diverse product portfolios and internal stakeholders.
• Experienced working knowledge of commercial data sources and tools relevant to the pharmaceutical industry (e.g., Veeva, IQVIA, SHA, MMIT).
• Deep healthcare industry knowledge including managed care, patient, provider, pharma company, and disease area trends.
• Strong collaboration and teamwork skills to partner with peers on interdepartmental initiatives.
• Ability to work effectively in complex, rapidly changing environments.
• Strong project management skills, including managing multiple projects, setting priorities, and meeting deadlines.
• Strong analytical skills with the ability to work with complex data sets and derive insights.
• Ability to translate analytics into clear messages and recommendations for non-technical audiences.
• Statistical programming experience with Python, R, or similar.
• Strong SQL skills and experience working with cloud data infrastructure (e.g., Microsoft Azure).
• Experience with business intelligence platforms such as Power BI or Tableau.
• Strong Excel and PowerPoint skills.
• Excellent oral and written communication skills.
• Solid financial and business acumen with an analytical mindset.
• Ability to travel up to 20%.

Nice to Have

• Experience working with a wide range of internal stakeholders including portfolio strategy, pipeline planning, managed care, marketing, medical affairs, and commercial operations.
• Experience in building scalable advanced data analytics and predictive modeling.
• Knowledge of healthcare technology trends and market dynamics.

Qualifications

• No specific formal educational qualifications specified in the description.

Benefits & Perks

• Medical, Prescription, Dental, Vision Coverage
• Flexible Spending Account & Health Savings Account with Company match
• Employee Assistance Program
• Mental Health Resources
• Disability Coverage
• Life insurance
• Critical Illness and Accident Insurance
• Legal and Identity Theft Protection
• Pet Insurance
• Fertility and Maternity Assistance
• 401(k) with company match
• Flexible Time Off (FTO) and 11 paid holidays
• Paid Parental Leave