AI Summary
We are seeking a highly skilled Pharma Trade Data Analyst with strong experience in pharmaceutical trade data and analytics. Analyze supply chain and inventory data, leveraging advanced statistical and programming skills to drive insights and optimize processes.
Key Highlights
Analyze pharmaceutical trade data
Work with EDI inventory codes
Develop and monitor KPIs
Conduct advanced analytics
Support decision-making
Technical Skills Required
Benefits & Perks
$90/hr
100% Remote
Contract role with potential extension(s)
Job Description
Hello,
My name is Ana, and I am a Recruiter with The Fountain Group. We are a national staffing firm and are currently seeking a Pharma Trade Data Analyst for a prominent client of ours. This position is 100% Remote. Details for the position are as follows:
Contract role of 1-year, likely extension(s).
Pay range is $90/hr.
Fully Remote.
Job Description:
We are seeking a highly skilled Pharma Trade Data Analyst with strong experience in pharmaceutical trade data and analytics. This role focuses on analyzing supply chain and inventory data from manufacturer to wholesaler to pharmacy, leveraging advanced statistical and programming skills to drive insights and optimize processes.
Key Responsibilities:
- Analyze pharmaceutical trade data, including wholesale and pharmacy-level data.
- Work with EDI inventory codes (849, 852, 867).
- Perform root cause analysis on supply chain and inventory issues.
- Develop and monitor KPIs to identify areas of financial loss and opportunities for improvement.
- Inventory management and transportation data.
- Rebate data analysis.
- Statistical modeling and parameter building.
- Support decision-making through predictive modeling, ROI analysis, and marketing mix modeling.
- Collaborate with internal teams to communicate insights and integrate strategies into planning.
- Ensure compliance with departmental procedures and contribute to continuous process improvement.
- Bachelor’s degree required.
- Pharmaceutical industry experience is mandatory.
- Strong knowledge of pharma trade data and supply chain processes.
- Proficiency in Python, SQL, and R for data analysis.
- Experience with EDI codes (849, 852, 867) is a major plus.
- Ability to perform statistical analysis, forecasting, and segmentation.