Associate Director, Trade Analytics & Distribution

AbbVie; Illinois; On-site; USD 140,000 - 190,000; Full time

Job summary

AbbVie is seeking a senior analytics leader to drive trade and distribution analytics across Market Access, Trade & Distribution, and Brand teams. You will synthesize internal and syndicated data to inform strategy, quantify ROI, and support evidence-based decision-making across specialty and retail channels.

The role requires strong SQL, Power BI, and communication skills, with experience in pharmaceutical data sources and cross-functional teamwork to influence leadership and trading partners.

Qualifications

• Bachelor’s degree in Business Analytics, Statistics, or related field with 5 years of pharma analytics experience.
• Proficient in trend analysis, forecasting, ROI measurement, and scenario analysis.
• Experience with CMS, IQVIA, Symphony Health, and EDI data sources.
• Strong SQL, Excel, and data visualization skills (Power BI).
• Excellent communication and cross-functional collaboration.

Responsibilities

• Lead trade and distribution analytics and research to inform strategy and ROI.
• Partner with Market Access, Trade & Distribution, Brand Marketing, Finance, Legal, Pricing, HEOR.
• Plan and execute analytics and primary research across multiple channels including specialty and retail.
• Pull and analyze internal and syndicated data to generate insights on channel performance and risks.
• Develop and apply analytical models for payer, channel, and trade dynamics.

Skills

Trade analytics

Data analysis

SQL

Power BI

Stakeholder management

Education

Bachelor’s degree in Business Analytics or Statistics

Tools

SQL

Power BI

Excel

Python/R

Job description

AbbVie is seeking a senior analytics leader to drive trade and distribution analytics across Market Access, Trade & Distribution, and Brand teams. You will synthesize internal and syndicated data to inform strategy, quantify ROI, and support evidence-based decision-making across specialty and retail channels.

The role requires strong SQL, Power BI, and communication skills, with experience in pharmaceutical data sources and cross-functional teamwork to influence leadership and trading partners.