Product Data Analyst I
Job details
- Work mode
- Hybrid
- Employment
- Full-time
- Education
- Bachelor's degree
- Posted
- Nov 10, 2026
- Last confirmed open
- Nov 11, 2026
- Job function
- Software/Internet/AI › Data & Analytics › Data Analyst
About this role
The Product Data Analyst I supports Rheem’s Product Management team by maintaining accurate, complete, and consistent product information across business systems and customer-facing channels. This role helps ensure product attributes, specifications, classifications, digital assets, and related records are governed throughout the product lifecycle, from product setup and launch through updates and end-of-life activities.
Working closely with Product Managers and cross-functional partners, the Product Data Analyst I analyzes product information, resolves data-quality issues, supports reporting, and improves the processes used to manage Rheem product data. The ideal candidate is detail-oriented, analytical, comfortable working across multiple systems, and able to translate business requirements into reliable product information.
This position will support Rheem North America , and can be located in Fort Smith, Arkansas or Lewisville, Texas . This role follows our hybrid work arrangement, with team members working in the office Monday through Thursday and remotely on Fridays .
- RESPONSIBILITIES
- Maintain product master data, attributes, specifications, hierarchies, classifications, and related records in Product Information Management (PIM), Enterprise Resource Planning (ERP), Digital Asset Management (DAM), and associated systems.
- Partner with Product Managers to support new product introductions, product changes, line extensions, substitutions, and product discontinuations by ensuring required data is complete and available on schedule.
- Validate product information for accuracy, completeness, consistency, and alignment with established naming conventions, data standards, and approval requirements.
- Perform routine data-quality reviews, identify root causes of discrepancies, and coordinate corrections with Product Management, Engineering, Marketing, Sales, Operations, IT, and other stakeholders.
- Collect, organize, and prepare product data for internal teams, distributors, customers, websites, catalogs, digital tools, and other downstream channels.
- Create and maintain reports, dashboards, audits, and exception files that help the Product team monitor product-data readiness and resolve gaps.
- Support product taxonomy, metadata, data definitions, and documentation to improve how product information is structured, searched, reported, and reused.
- Assist with bulk uploads, data migrations, system enhancements, testing, and validation related to product information and product-management processes.
- Investigate and respond to product-data questions and access issues, escalating system or governance concerns when appropriate.
- Document repeatable work processes and recommend practical improvements that increase data accuracy, efficiency, and speed to market.
- Protect confidential and proprietary information and follow Rheem policies for data access, quality, retention, and security.
- Participate in cross-functional projects and perform other related duties as assigned.
QUALIFICATIONS
- Bachelor’s degree in Business, Analytics, Information Systems, Data Management, Engineering, Supply Chain, Marketing, or a related field
- Related experience in data analysis, product data, master data, product management support, business analysis, or a related discipline preferred but open to early career skillsets
- Strong attention to detail with the ability to review high-volume data, recognize inconsistencies, and follow issues through resolution.
- Working knowledge of Microsoft Excel, including formulas, lookups, filters, sorting, PivotTables, and data validation.
- Ability to organize competing priorities, meet deadlines, and work effectively with stakeholders across functions and locations.
- Clear written and verbal communication skills, including the ability to document requirements and explain data issues in business terms.
- Experience with Oracle, PIM, DAM, ERP, Power BI, Tableau, SQL, Python, Databricks, APIs, or cloud-based data platforms is a plus.
- Familiarity with product lifecycle management, HVAC or water-heating products, manufacturing, distribution, or technical product specifications is a plus.
At Rheem, how you achieve results is as important as the results you achieve. While LEADING SELF, you will be expected to demonstrate the following competencies and behaviors:
- Adapting
- Business Understanding
- Collaborating
- Communicating Effectively
- Continuously Improving
- Customer-Orientation
- Developing Self
- Focusing on Results
- Influencing
- Managing Relationships
- Managing Work
- Problem Solving & Decision Making
Equivalent combination of education, experience, and skills may supplement above minimum job requirements.
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