Lead Products Data Analyst

Posted 23 hours ago

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Develop a unified and governed source for product master data, encompassing master hierarchy, attributes, and contract information.

• Enhance the methodology for analyzing product profitability, profitability drivers, market penetration, product cross-referencing, and pricing metrics.

• Revise Product KPIs to align with ELT strategy and value proposition initiatives.

• Produce a product-strategy fact pack connected to the primary KPIs.

• Take ownership of product master data methodology and governance across finance, operations, commercial, and sourcing sectors.

• Manage the calculation methodology and establish the source of truth for derived product metrics such as share-of-wallet, market penetration, and potential/addressable value.

• Design Product KPIs, covering definitions, measurements, and accountability frameworks.

• Oversee an initiative tracking model that connects commercial transformation initiatives to EBITDA impacts.

• Suggest analyses and methodologies to discover growth, margin enhancement, and portfolio optimization opportunities.

• Propose AI applications for data tracing and predictive analytics.

• Recommend governance for product data regarding the discontinuation of SKUs and the introduction of new products.

• Contribute to the Product Margin Enhancement strategy and Product Master Data Management efforts.

• Consult with cross-functional teams and Finance leadership on data quality issues, stewardship, and methodology revisions.

• Deliver reliable metrics, segmentation inputs, and methodologies for Product Quarterly and Monthly Reviews.

• Connect tracked initiatives to financial impacts and align with the North Star bridge.

• Collaborate with IT/Master Data Management on the enterprise lighthouse initiative, MDM platform, and identifier crosswalks.

• Work above the ops-data analytics team, reporting to the VP of Operation Transformation while partnering with Product GMs.

• Act as an individual contributor/expert during the launch phase, with the potential to build and lead a commercial analytics team as the scope grows.


⛳️ Requirements

• Advanced degree in a quantitative field (statistics, data science, economics, engineering, or similar) or equivalent experience.

• 5-10+ years of experience in commercial/sales analytics, data science, or master data management.

• Experience in distribution, healthcare, or med-surg is highly preferred.

• Proficient understanding of master data management, including the differences between master, reference, and derived data.

• Proven ability to articulate and support calculation methodologies to Finance and commercial leaders.

• Strong skills in SQL and analytics tools.

• Familiarity with the modern data stack.

• Proficient in PowerBI for last-mile reporting.

• Ability to design KPIs that influence behavior, combined with commercial insight.

• Competence to lead and influence across commercial, ops-data, IT, and Finance areas without direct authority.

• Understanding of healthcare procurement, GPO/IDN dynamics, and med-surg distribution economics is preferred.

• Knowledge of third-party healthcare market data such as Definitive Healthcare is a plus.

• Willingness to travel approximately 25% to Richmond.


🏝️ Benefits

• Medical, dental, and vision plans available from day one for full-time employees.

• Educational assistance for eligible employees enrolled in an approved, accredited collegiate program.

• Employer-funded life insurance and disability coverage.

• Optional supplemental life, hospitalization, critical illness, and additional insurance programs.

• Adoption assistance.

• Fertility benefits included through the medical plan.

• Parental leave.

• Health Savings Account (HSA).

• 401(k) plan.

• Sick days and short-term leave.

• Holidays, vacation days, personal days, and various other types of leave.

• Teammate Assistance Program (TAP).

• Access to Calm Health.

• Cancer Resources Services.

• Discount programs at no cost.

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