McKesson
Business Intelligence Analyst
McKesson is an impact-driven, Fortune 10 company that delivers insights, products, and services to make quality care more accessible and affordable. The role is located in Columbus, OH, and the candidate must be based in the metropolitan area of our hub city. The position primarily allows for remote working.
Job Overview As a Business Intelligence Analyst on the Reporting & Performance Analytics Team, you will partner 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. 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 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.
Minimum Qualifications
Degree or equivalent, typically requires 4+ years of relevant experience.
Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
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.
Compensation McKesson is proud to offer a competitive compensation package as part of our Total Rewards program. The base pay range for this position is $84,800 – $141,300. Additional compensation may include an annual bonus or long‑term incentive opportunities.
Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
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Job Overview As a Business Intelligence Analyst on the Reporting & Performance Analytics Team, you will partner 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. 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 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.
Minimum Qualifications
Degree or equivalent, typically requires 4+ years of relevant experience.
Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
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.
Compensation McKesson is proud to offer a competitive compensation package as part of our Total Rewards program. The base pay range for this position is $84,800 – $141,300. Additional compensation may include an annual bonus or long‑term incentive opportunities.
Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
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