Manager, Commercial Analytics- Oncology

Role Summary

The Manager, Oncology Commercial Analytics is responsible for the development of reports and key insights for Incyte's US Oncology marketed and prelaunch brands. This role will be a critical lead supporting Oncology commercial analytics deliverables and insights generation, reporting to the Director, Commercial Analytics. This role will collaborate with Market Access/Trade, Sales, Product Strategy, Finance, and Forecasting leads to ensure alignment of key business objectives.

Responsibilities

• Document business specifications for reports that transition from ad-hoc to automation including reporting and visualization requirements.
• Prepare and QC data for consistency and uniformity.
• Provide analytical support to the patient access team (IncyteCARES) to ensure programs are operationally effective.
• Support the Trade & Distribution team with quarterly business reviews for specialty pharmacy performance, as well as 340B, GPO, and VA/DoD trends.
• Work in close partnership with Product Strategy, Sales, Market Access, Finance, and Business Operations colleagues to proactively identify, analyze, and address key business questions.
• Understand and effectively/succinctly present insights to cross-functional business partners, organized customer segments, and market access opportunities and threats for key brands.
• Synthesize, analyze and aggregate insights from disparate internal and external datasets to develop reports and conduct ad-hoc analyses to identify market trends and key insights.
• Support Commercial Operations and other Oncology-focused functional areas (e.g., Sales, Product Strategy, Market Access) with understanding key performance drivers within the Incyte oral and IV/IJ Oncology portfolio.

Qualifications

• Experience working with medical claims data (CMS 1500 and/or UB04) is beneficial, but not required.
• Experience working with wholesaler shipment data (867) and chargeback data is preferred.
• Ability to prioritize multiple initiatives, thrive in a fast-paced environment.
• Experience working with pharmacy patient-level data (pharmacy prescription date, claims data, etc.) is preferred, but not required.
• Specialty pharmacy (SP) and specialty distributor (SD) knowledge.
• Experience with statistical analysis methods using software such as SAS, R, SPSS, or similar tools is beneficial, but not mandatory.
• Technical proficiency in querying, analyzing, and reporting on large data sets using tools such as SQL, SAS, Microsoft Access, Microsoft Excel (including Pivot Tables and Macros), and PowerPoint.
• Experience in the pharmaceutical industry through either vendor or pharmaceutical manufacturer is preferred, but not required.
• A bachelor's degree or equivalent experience is preferred.
• Experience in contributing to the development/enhancement of customer master data is valued.

Skills

• Analytical thinking and data storytelling
• Cross-functional collaboration
• Data manipulation and visualization
• Problem solving and business acumen

Education

• Bachelor‚Äôs degree or equivalent experience preferred