Role Summary
The Associate Director, Advanced Analytics - Ophthalmology is a part of the Insights & Analytics team under Commercial Strategy. In this role, you will collaborate with sales and marketing business partners, customer insights and data management teams to develop sub-national analytics and insights for the Ophthalmology Business Unit (CBU).
Responsibilities
- Lead the development of the Ophthalmology data infrastructure in collaboration with the data science team members.
- Develop/maintain ongoing performance reporting processes for the CBU. Identify opportunities to innovate reporting process (dashboard platforms, agentic).
- Conduct sub-national growth drivers analyses and work closely with market access and data science teams to build local resource allocation models and pull through strategies.
- Support integrated business planning for sales teams.
- Develop account level influence mapping for sales force / account management.
- Develop rich account level insights using patient level data sets (including segmentation and opportunity assessment).
- Perform Digital and DTC execution reporting for consumer campaigns.
- Support GPO reporting and trade analytics for Ophthalmology Business Unit to understand customer buying patterns and trends (e.g., by quintiles, geography, brand market share).
- Present analytic results and recommendations to business partners.
- Collaborate with internal teams and vendors to coordinate cross-functional analysis and data acquisition.
- Assure compliance with regulatory, security, and privacy requirements as it relates to data assets.
Qualifications
- Required: Masterβs degree completed by start date and 7+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience OR Bachelor's degree and 10+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.
- Required: BS/BA; MS/Advanced degree in a quantitative subject (e.g., Statistics, Econometrics, Mathematics) preferred.
- Required: 7+ years' progressive, related industry experience with a minimum 5 years analytical experience in pharmaceutical or biotechnology industries.
- Required: Commercial business intelligence tool report creation experience (Power BI, QlikView, Tableau, Oracle BI, Microstrategy, Cognos, Spotfire, etc.).
- Preferred: SAS code-writing skills (BASE, STAT, SQL, Macros); SQL query-writing required.
- Required: In-depth knowledge and data mining experience using secondary subnational prescription and sales data; experience with longitudinal patient, specialty pharmacy/hub data strongly preferred; familiarity with IQVIA, Symphony, etc. strongly preferred.
- Preferred: Experience in resource optimization, commercial mix modeling or alignment, targeting, and call planning.
- Required: Advanced proficiency in Excel, and PowerPoint.
- Required: Presentation skills to take sophisticated analysis and apply a business context for non-analytical associates.
- Required: Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills.
- Required: Excellent organization/planning skills and talent for managing many large and complex datasets.