USP Reporting Analytics Data Specialist

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
United States

Offer summary

Qualifications:

Bachelor's or Master's degree in Data Science, Computer Science, or related field., At least 3 years of experience in data engineering or analytics., Proficiency in SQL and data modeling techniques., Experience with healthcare or biopharma data is highly desirable..

Key responsibilities:

  • Collaborate with teams to ingest and normalize data from multiple sources.
  • Design and maintain scalable data models supporting reporting needs.
  • Partner with stakeholders to define KPIs and prepare datasets for analysis.
  • Support cross-functional teams with ad hoc data requests and insights.

CoverMyMeds logo
CoverMyMeds Large https://www.covermymeds.com/
1001 - 5000 Employees
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Job description

McKesson is an impactdriven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and wellbeing of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

As a Data Specialist on the Universal Starting Platform (USP) Reporting & Performance Analytics Team, you will play a pivotal role in partnering with data engineering to transform raw data into structured, reliable, and actionable insights that power one of the most ambitious product launches in CoverMyMeds’ history. This role is essential to the success of USP—a differentiated digital platform designed to revolutionize how biopharmaceutical companies engage with providers and patients in the complex specialty healthcare ecosystem.

You will be responsible for building the data foundation that supports internal product development, external provider engagement, and biopharma customer reporting. Your work will directly impact how quickly patients access lifesaving therapies, how effectively providers engage with the platform, and how biopharma clients measure success.

Key Responsibilities

  • Data Integration & Normalization

    • Collaborate with data engineering and product teams to ingest and normalize data from multiple sources (EHRs, 3rd party aggregators, benefit verification systems, etc.).

    • Ensure data quality, consistency, and completeness across all reporting pipelines.

      • Data Modeling & Infrastructure

        • Working with the data engineering team, design and maintain scalable data models that support evolving reporting needs across MVP and future USP phases.

          • Analytical Support

            • Partner with the Senior Reporting Leader to define KPIs and metrics aligned with USP’s strategic goals (e.g., time to therapy, BIBVPA approval and accuracy rates, user engagement).

            • Prepare datasets for visualization and advanced analytics, ensuring they are accurate, timely, and welldocumented.

              • CrossFunctional Collaboration

                • Serve as the connective tissue between data engineering, product, and commercial teams to ensure data is usable and aligned with business needs.

                • Support ad hoc data requests and exploratory analysis to inform product decisions and customer conversations.

                    • What Makes This Role Unique

                      • Strategic Impact: You will be the data engine behind a platform that could define the future of medical benefit drug access—an area with no current industry leader.

                      • Greenfield Opportunity: With no legacy systems to constrain you, you’ll help build the data architecture from the ground up.

                      • High Visibility: Your work will directly support executive decisionmaking and be showcased to toptier biopharma clients.

                      • Collaborative Innovation: You’ll work alongside a senior analytics leader and, soon, a visualization specialist to create a bestinclass insights engine—not just dashboards.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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