Business Intelligence Analyst

As a Business Intelligence Analyst on the 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.

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 life-saving 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 phases.

Analytical Support

• Partner with the Senior Reporting Leader to define KPIs and metrics aligned with strategic goals (e.g., time to therapy, BI/BV/PA approval and accuracy rates, user engagement).

• Prepare datasets for visualization and advanced analytics, ensuring they are accurate, timely, and well-documented.

Cross-Functional 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 decision-making and be showcased to top-tier biopharma clients.

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

Candidate must be based in the metropolitan area of our hub city Columbus, OH. Position will primarily allow for remote working.

We are unable to provide sponsorship now or in the future for this position.

Minimum Qualifications:

Degree or equivalent and typically requires 4+ years of relevant experience

Education:

Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.

Critical Skills:

• 3+ years of experience in data engineering, analytics, or a similar role.

• Strong proficiency in SQL and data modeling; experience with Python or R is a plus.

• Familiarity with cloud data platforms (e.g., Snowflake, Azure, FHIR).

• Experience working with healthcare or biopharma data is highly desirable.

• Strong communication skills and a collaborative mindset.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please

Our Base Pay Range for this position

$84,800 - $141,300