Commercial Analytics & Data Management Manager
The Global Commercial Data & Analytics owns the customer, product, industry and commercial data foundations that underpin net sales, volume, pricing, margin, and performance decision‑making across the business.This role ensures leaders operate from a single, consistent, and trusted view of customers, products, and commercial performance across reporting, analytics, and self‑service tools.This is a high‑impact, hands‑on role for someone who enjoys turning complex, fragmented data into clarity. You will directly build, maintain, and evolve the commercial data foundations used by leaders worldwide, enabling more confident decisions on pricing, margin, customers, and product strategy.Sitting at the intersection of finance, marketing, operations, analytics, and enterprise data initiatives, the role translates business logic into clean, governed, and usable commercial datasets.What will you do:Customer & Product Data FoundationsBuild and maintain consistent customer master structuresDefine, document, and manage product hierarchies and classification logicCoordinate across teams and stakeholders to route issues, establish ownership, and drive resolutionExecute higher-risk data corrections, ensuring accuracy, and governance complianceResolve duplicates, inconsistencies, and misalignments across SAP, NHBA, OneStream, and reporting layersEnrich commercial datasets with business‑relevant customer and product attributes to support analysis, segmentation, and decision‑makingWork closely with the Corporate Customer Master Data team and ensure alignment with enterprise customer and product data standardsCommercial Data ModelingDesign standardized datasets for:Revenue and margin analysisPricing and discountingCustomer and product segmentationEnsure consistent definitions across Power BI, ThoughtSpot, and management reportingSegmentation & ClassificationDevelop and maintain customer, product, and industry segmentation logicApply primarily rule‑based approaches, with selective use of clustering where business‑relevantEnsure segmentation is applied consistently across dashboards and self‑service analyticsAnalytics EnablementBuild and maintain certified, trusted datasets used across the organizationEnable business users with stable, well‑structured commercial dataAct as the owner of the single version of truth for commercial analyticsData Quality & ReconciliationIdentify and resolve discrepancies between operational, financial, and reporting dataAct as the first point of triage when conflicting numbers ariseMaintain clear documentation of data logic, mappings, and KPI definitionsMinimum QualificationsBachelor’s degree in Business, Finance, Analytics, Engineering, or a related field (or equivalent practical experience)8 years of experience in analytics or data‑oriented role5 years of SQL skills (data extraction, transformation, and validation)3 years of experience Master Data Management experience2 years experience building and enabling self-servic...