Ecolab

GlobalCommercialData&AnalyticsManager

$121–181k Knoxville, Tennessee, United States FULL TIME Remote Friendly
The Brief

“Global Commercial Data & Analytics Manager at Ecolab. Skills: Customer Master Data, Product Master Data, Commercial Data Foundations, Data Modeling, Segmentation, Analytics Enablement, Data Quality & Reconciliation. Build and maintain consistent customer master structures. Define, document, and manage product hierarchies and classification logic”

What You'll Achieve.

Ensure leaders operate from a single, consistent, and trusted view of customers, products, and commercial performance across reporting, analytics, and self‑service tools; Enable more confident decisions on pricing, margin, customers, and product strategy; Translate business logic into clean, governed, and usable commercial datasets; Ensure segmentation is applied consistently across dashboards and self‑service analytics

Industry & Context.

Problems you'll solve

Turning complex, fragmented data into clarity; Resolve duplicates, inconsistencies, and misalignments; Identify and resolve discrepancies; Exercise judgment, and drive issues to resolution; Demonstrated comfort working with ambiguity, including non‑standard or high‑risk data scenarios

Eligibility Requirements

Immigration sponsorship not available for this role, Undergo additional background screens and/or drug/alcohol testing for customer credentialing, Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.

What They're Looking For.

Must Have

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), 3 years of experience with Power BI, 3 years of experience Master Data Management experience, 2 years experience building and enabling self-service analytics in ThoughtSpot or similar platforms

Nice to Have

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, 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, 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

What You'll Do.

Build and maintain consistent customer master structures

and manage product hierarchies and classification logic

Execute higher-risk data corrections

and governance compliance

and misalignments across SAP

Enrich commercial datasets with business‑relevant customer and product attributes to support analysis

Design standardized datasets for Revenue and margin analysis

Pricing and discounting

Customer and product segmentation

Develop and maintain customer

and industry segmentation logic

Apply primarily rule‑based approaches

with selective use of clustering where business‑relevant

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

Maintain clear documentation of data logic

How You'll Work.

Team & Collaboration

Coordinate across teams and stakeholders to route issues, establish ownership, and drive resolution; Work closely with the Corporate Customer Master Data team and ensure alignment with enterprise customer and product data standards; Proven ability to influence and coordinate cross‑functional teams without direct authority

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