Associate Director, Advanced Analytics - Ophthalmology

Role Summary

The Associate Director, Advanced Analytics - Ophthalmology role is a part of the Insights & Analytics team under Commercial Strategy.

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 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 i.e. by quintiles, geography, brand market share, etc.
• 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

• Master's 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
• BS/BA required. MS/Advanced degree in a quantitative subject (e.g. Statistics, Econometrics, Mathematics) preferred
• 7+ years' progressive, related industry experience with a minimum 5 years analytical experience in pharmaceutical or biotechnology industries.
• Commercial business intelligence tool report creation experience required (any, but e.g.: Power BI, QlikView, Tableau, Oracle BI, Microstrategy, Cognos, Spotfire)
• SAS code-writing skills (BASE, STAT, SQL, Macros) preferred, SQL query-writing required.
• In-depth knowledge and data mining experience using secondary subnational prescription and sales data required. Experience with longitudinal patient, specialty pharmacy/ hub data strongly preferred. Familiarity with frequently used pharma data sources like IQVIA, Symphony, etc. strongly preferred
• Experience in resource optimization, commercial mix modeling or alignment, targeting, and call planning highly preferred
• 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
• Excellent organization/planning skills and talent for managing many large and complex datasets