Global Commercial Data & Analytics Manager

Ecolab•King of Prussia, PA

1d•Onsite

About The Position

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.

Requirements

Bachelor’s degree in Business, Finance, Analytics, Engineering, or a related field (or equivalent practical experience)
8 years of experience in analytics or data‑oriented role
5 years of SQL skills (data extraction, transformation, and validation)
5 years of experience with Power BI
3 years of experience Master Data Management experience

Nice To Haves

Experience working in manufacturing or industrial companies with complex, ERP‑driven data environments (products, customers, geographies, plants, assets, and cost structures)
Experience using data transformation tools (e.g., Alteryx) to automate data cleaning, validation, and repeatable logic
Proven ability to influence and coordinate cross‑functional teams without direct authority
Strong ability to work autonomously, prioritize effectively, exercise judgment, and drive issues to resolution
Demonstrated comfort working with ambiguity, including non‑standard or high‑risk data scenarios
Advanced proficiency with Microsoft Office, particularly Excel for analysis and reporting
Strong understanding of business processes and their upstream and downstream data impacts
Experience working with large, transactional datasets
Experience with ThoughtSpot or similar self‑service analytics platforms

Responsibilities

Build and maintain consistent customer master structures
Define, document, and manage product hierarchies and classification logic
Coordinate across teams and stakeholders to route issues, establish ownership, and drive resolution
Execute higher-risk data corrections, ensuring accuracy, and governance compliance
Resolve duplicates, inconsistencies, and misalignments across SAP, NHBA, OneStream, and reporting layers
Enrich commercial datasets with business‑relevant customer and product attributes to support analysis, segmentation, and decision‑making
Work closely with the Corporate Customer Master Data team and ensure alignment with enterprise customer and product data standards
Design standardized datasets for: Revenue and margin analysis, Pricing and discounting, Customer and product segmentation
Ensure consistent definitions across Power BI, ThoughtSpot, and management reporting
Develop and maintain customer, product, and industry segmentation logic
Apply primarily rule‑based approaches, with selective use of clustering where business‑relevant
Ensure segmentation is applied consistently across dashboards and self‑service analytics
Build and maintain certified, trusted datasets used across the organization
Enable business users with stable, well‑structured commercial data
Act as the owner of the single version of truth for commercial analytics
Identify and resolve discrepancies between operational, financial, and reporting data
Act as the first point of triage when conflicting numbers arise
Maintain clear documentation of data logic, mappings, and KPI definitions