Associate Director, Marketing Insights

About the Role

Key Responsibilities

• Develop fact-based promotional investment strategies and guide investment decisions from marketing mix/business optimization and other analysis to optimize performance.
• Influence business growth and inform the annual financial forecasting and brand planning process.
• Be integrally involved with the financial planning process, providing input and acting as a key conduit to forecasting for all monthly estimates, annual plans, and long-range plan deliverables including patient flow modeling.
• Leverage innovative, sophisticated analytic models that address critical issues while meeting key business and technical criteria.
• Prepare written and oral presentations of data, plans, and strategies for peers, business stakeholders, and management.
• Translate data results into non-technical formats for presentation to business stakeholders.
• Work across business stakeholders and line functions to gather, analyze, and synthesize requirements and translate them into actionable insights.

Requirements

• Bachelor's degree in Mathematics, Statistics, Operations Research, Computer Science, Business Intelligence/Analytics, Engineering, or foreign educational equivalent.
• 5 years of performing quantitative analysis of sales and marketing information.
• 5 years of experience analyzing big data sets to develop advanced models predicting future performance.
• 5 years of experience preparing written and oral presentations of data, plans, and strategies.
• 5 years of applying statistical analyses, experimental design, regression, and modeling to business problems.
• 5 years of translating data results into non-technical formats for presentations.
• 5 years of working in a matrixed organization across business stakeholders and line functions.
• 1 year of experience working with a Pharma/Biotech company.
• 1 year of experience working with pharma syndicated data sources such as IQVIA, Truven, SHA, and DRG.

Qualifications

• Bachelor's degree in relevant field.
• Experience with quantitative analysis, data modeling, and statistical methods.