Lead Products Data Analyst

Owens & Minor • Remote - Virginia, VA

1d • Remote

About The Position

Owens & Minor is seeking a Products Data Lead to serve as the trusted-data and insight engine of the product organization. The role owns product master data “lighthouse” attributes and the calculation methodologies behind metrics that support product strategy. Its initial mandate is to establish a governed source of product master data, including a master hierarchy, attributes, and contract data, while fixing methodologies for core product metrics such as profitability and its drivers, end-market penetration, product cross-referencing, and pricing. The role will then redefine Product KPIs to align with ELT strategy and value proposition work, and create a fact pack connecting analyses to the resulting North Star KPIs.

The position works upstream of the ops-data analytics team and partners closely with Product GMs. It is expected to help make product data initiatives measurable and traceable to North Star EBITDA, shifting the organization from backward-looking reporting to forward-looking transparency and accountability. The scope may expand to include the product master data lighthouse and, for a successful candidate, leadership of the full data team. The role launches as an individual contributor and may grow into building and leading a commercial-analytics team.

The role owns product master data methodology and governance, including hierarchy logic and its interfaces with finance, operations, commercial, and sourcing; calculation methodology and the source of truth for derived product metrics; Product KPI design; and a model linking commercial transformation initiatives to their EBITDA impact. It recommends methods to identify growth, margin improvement, and portfolio optimization opportunities, as well as AI applications for faster data tracing and insight generation. It informs product margin and master data initiatives and advises cross-functional and Finance leaders on data-quality gaps, stewardship, and methodology changes that affect reported numbers.

Remote work is possible, with approximately 25% travel to Richmond. The anticipated salary is $120,000 USD annually; actual compensation may vary based on experience, skills, education, and location.

Requirements

• Advanced degree in a quantitative discipline such as statistics, data science, economics, or engineering, or equivalent experience.
• 5–10+ years of experience in commercial or sales analytics, data science, or master data management.
• Working command of master data management and a clear understanding of the distinctions between master, reference, and derived data.
• Demonstrated ability to define a calculation methodology and defend it to Finance and commercial leaders.
• Strong SQL and analytics-tooling skills, fluency with the modern data stack, and Power BI skills for last-mile reporting.
• Ability to design KPIs that change behavior, combining technical depth with commercial acumen.
• Ability to lead and influence across commercial, ops-data, IT, and Finance without direct authority.

Nice To Haves

• Experience in distribution, healthcare, or med-surg.
• Understanding of healthcare procurement, GPO/IDN dynamics, and med-surg distribution economics.
• Familiarity with third-party healthcare market data, such as Definitive Healthcare.

Responsibilities

• Establish a governed source of product master data, including a master hierarchy, attributes, and contract data.
• Define and document defensible calculation methodologies for product profitability, profitability drivers, end-market penetration, product cross-referencing, pricing, share of wallet, and potential or addressable value.
• Design Product KPIs, including what is measured, how measures are defined, and how they guide focus and accountability.
• Create a product-strategy fact pack whose analyses connect to the North Star KPIs.
• Own product master data methodology and governance, including hierarchy logic and interfaces with finance, operations, commercial, and sourcing.
• Create and maintain an initiative-tracking model that links commercial transformation initiatives to Finance-owned EBITDA impacts and rolls them up to the North Star.
• Partner with Product GMs and cross-functional teams to make product data initiatives measurable and traceable to North Star EBITDA.
• Provide trusted metrics, segmentation inputs, and methodology for Product Quarterly Reviews and Monthly Reviews.
• Inform Product Margin Up strategy in support of Project Rocketman and Product Master Data Management in support of Project Astra.
• Advise cross-functional and Finance leadership about data-quality gaps, unowned stewardship, and methodology changes that affect reported numbers.
• Recommend systematic analyses to identify growth, margin-improvement, and portfolio-optimization opportunities.
• Recommend opportunities to use AI, including predictive analytics, to streamline data tracing and enable faster insights.
• Influence the ops-data analytics team's build without direct management responsibility.

Benefits

• Medical, dental, and vision plans starting on the first day of employment for full-time teammates.
• Educational assistance for eligible teammates enrolled in an approved, accredited collegiate program.
• Employer-paid life insurance and disability coverage.
• Voluntary supplemental insurance programs, including supplemental life, hospitalization, and critical illness coverage.
• Adoption assistance, fertility benefits through the medical plan, and parental leave.
• Health Savings Account (HSA) and 401(k) programs.
• Sick days, short-term leave, holidays, vacation days, personal days, and other leave, including parental leave.
• Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs at no cost.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior