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CRH Americas Building Products is reinventing what's possible in building solutions. We are the leading provider of innovative outdoor living products and utility infrastructure solutions for the water, energy, and communications markets throughout North America. We're a trusted and strategic partner to engineers, contractors, distributors, specifiers, retailers and homeowners alike as the manufacturer of precast concrete, polymer concrete, and plastic infrastructure products. Our portfolio of brands includes Oldcastle APG, Oldcastle Infrastructure, Belgard® hardscape, Echelon® Masonry, RDI® railing, Catalyst™ Fence Solutions, Sakrete® packaged concrete, Amerimix® mortar, Pebble Technology International® pool finishes, and Techniseal® sands and sealant technologies.
Job Summary
The Master Data Analyst is responsible for the analysis, maintenance, governance, and continuous improvement of enterprise master data across SAP and related business systems. This role partners closely with business stakeholders to support operational activities, strategic initiatives, and cross-functional projects through data analysis, reporting, data quality monitoring, and process improvement. The Analyst serves as a trusted resource for ensuring data integrity, enabling informed business decisions, and supporting enterprise data governance objectives. This is a hands-on SAP master data role in a manufacturing environment where data accuracy directly impacts operations. If you enjoy working at the intersection of business process, ERP systems, and structured data — this role is for you.
Job Location
This role will be remote, based in the US, with periodic domestic travel.
Job Responsibilities
Analyze master data trends to identify opportunities for improved data quality, accuracy, and governance
Create, maintain, and audit material, customer, vendor, business partner, pricing, and other master data objects within SAP and connected systems
Develop and maintain reports, dashboards, KPIs, and analytics that support business operations and management decision-making
Perform data analysis to support business initiatives, process improvements, acquisitions, system enhancements, and organizational projects
Conduct root cause analysis of data quality issues and recommend corrective and preventive actions
Partner with Finance, Procurement, Supply Chain, Sales, Operations, and IT teams to understand data requirements and support business objectives
Monitor data governance controls and compliance with established master data standards and policies
Support testing, validation, and implementation activities related to master data processes and system changes
Identify opportunities for automation and process optimization to improve efficiency and reduce manual effort
Maintain documentation, procedures, and business rules related to master data management processes
Provide guidance and training to business users regarding master data standards, governance, and best practices
Participate in continuous improvement initiatives that enhance data accuracy, reporting, and operational performance
Job Requirements
5+ years of experience in Master Data Management, Data Analysis, Business Analysis, or ERP support
Experience with SAP, SAP S/4HANA, or other ERP platforms
Strong analytical and problem-solving skills with the ability to interpret and analyze large datasets
Experience with reporting and analytics tools such as Power BI, Tableau, Snowflake, Python, SAP Reporting, or similar platforms
Knowledge of data governance, data quality management, and process improvement methodologies
Advanced Excel skills and experience developing business metrics and KPI reporting
Strong communication and stakeholder management skills
Bachelor's degree in Business, Information Systems, Supply Chain, Finance, Data Analytics, or a related field
Thinks analytically about data structures and patterns
Understands business context behind master data
Can translate between business SMEs and technical teams
Identifies root causes instead of correcting records one at a time
Is comfortable working in Excel to construct structured datasets
Operates well in a fast-moving, wave-based implementation model
Employment type
Full Time
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