Lead Products Data Analyst

Owens & Minor Distribution Inc. is hiring a Lead Products Data Analyst to establish governed product master data and reliable product metrics, then define product KPIs and strategy-supporting analyses. The role partners with Product GMs, Finance, IT, and other teams to link transformation initiatives to EBITDA and improve product data transparency and accountability.

Responsibilities:

• Establish a single, governed source of product master data including a master hierarchy, attributes, contract data, as core inputs while fixing the methodology behind core product metrics (product profitability & profitability drivers, end-market penetration, product cross referencing, pricing)
• Translate that foundation into a redefined set of Product KPIs aligned to new ELT strategy and value proposition work that redirect product leadership toward where value actually is, rather than reporting the activity metrics of the past
• Creation of a “fact pack” that supports product strategy. The analyses that compose the fact pack should connect to the true north KPIs identified through step 2
• This position will work upstream the ops-data analytics team, reporting to the VP of Operation Transformation, and partnering closely with the Product GMs to ensure all product data initiatives are measurable and traceable to North Star EBITDA and drive a change from backward-looking reporting to forward-looking transparency and accountability
• Product master data methodology and governance: hierarchy logic, attributes – and how that interfaces with finance, operations, commercial, and sourcing
• Calculation, methodology, and source of truth for derived product metrics (share-of-wallet, penetration, potential/addressable value)
• Design of Product KPIs including what is measured, how it is defined, and how it drives focus and accountability
• Initiative tracking model: tracking commercial transformation initiatives and linking each to its EBITDA impact
• Analyses and methodologies to systematically identify growth, margin-up, and portfolio optimization opportunities
• Opportunities to utilize AI to streamline data tracing and enable quicker insights, inclusive of predictive analytics
• Product data governance, especially for sunsetting SKUs and launching new products
• Product Margin Up strategy, in support of Project Rocketman
• Product Master Data Management, in support of Project Astra
• Cross-functional and Finance leadership on data-quality gaps, unowned stewardship, and methodology changes that affect reported numbers
• Product Quarterly Reviews and Monthly Reviews — hands trusted metrics, segmentation inputs, and methodology into governance reviews, with a defined methodology and so action is executed
• Finance: this role links tracked initiatives to their financial impact and aligns the North Star bridge
• IT / Master Data Management: the enterprise lighthouse initiative, MDM platform, and identifier crosswalks

Requirements:

• Advanced degree in a quantitative discipline (statistics, data science, economics, engineering, or similar) or equivalent experience
• 5-10+ years in commercial/sales analytics, data science, or master data management
• Working command of master data management, with a clear grasp of the difference between master, reference, and derived data (share-of-wallet and penetration are computed methodologies, not tables)
• Demonstrated ability to define a calculation methodology and defend it to both Finance and commercial leaders
• Strong SQL and analytics tooling; fluency with the modern data stack; PowerBI for last-mile reporting
• The judgment to design KPIs that change behavior rather than simply report it — technical depth paired with commercial acumen
• Ability to lead and influence upstream of an analyst team without direct authority, across commercial, ops-data, IT, and Finance
• distribution, healthcare, or med-surg strongly preferred
• Understanding of healthcare procurement, GPO/IDN dynamics, and med-surg distribution economics preferred
• familiarity with third-party healthcare market data (e.g., Definitive Healthcare) a plus