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Murray Resources

Data Governance Analyst

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What they do

A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.

$79,792 / year median in Texas

+22% projected growth

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Job Description

A leading company in the automation and controls industry is seeking a contract Data Governance Analyst to join the team. This is a stable, innovative, and collaborative, team-oriented environment. The Data Governance Analyst is responsible for owning product data standards, taxonomy, and governance controls that enable high-quality automation and reporting.
Salary:
Salary dependent on experience
Location:
Houston, TX Type of Position:
Contract Responsibilities:
Taxonomy & Attribute Standard Ownership Define, maintain, and continuously improve product taxonomy, classification hierarchies, and naming standards. Establish required attribute frameworks that ensure all items are consistently defined and usable across systems. Design and manage controlled value lists that enable standardized, reliable data entry and reporting. Govern attribute definitions to ensure consistency across product lines, sites, and functional use cases. Partner with stakeholders to evolve taxonomy structures as product complexity and automation needs increase. Data Quality Controls & Duplicate Prevention Design and administer duplicate-prevention rules to eliminate redundant item creation and maintain a single source of truth. Implement validation logic and entry controls within ERP and upstream systems to enforce data completeness and accuracy. Monitor data health using exception reporting, identifying trends in incomplete, inconsistent, or invalid data. Drive corrective actions for systemic data quality issues, ensuring root causes are addressed–not just symptoms. Maintain governance over item creation workflows to ensure adherence to standards and rules. Governance Reporting & Audit Discipline Develop and maintain data governance scorecards including completeness, accuracy, and compliance metrics. Establish routine audit processes to validate adherence to taxonomy, attribute standards, and governance policies. Provide visibility to leadership on data health, risks, and improvement opportunities. Track and trend data quality performance over time, linking improvements to operational outcomes. Support audit readiness for internal and external requirements where product data integrity is required. Enablement of Automation & Data-Driven Operations Ensure product data structures support safe and scalable automation in CPQ, order management, and supply chain workflows. Enable consistent data consumption across integrated systems including ERP, reporting tools, and external interfaces. Collaborate with IT and business stakeholders to align governance standards with system capabilities and integrations. Reduce manual intervention by strengthening upstream data quality and governance discipline. Support expansion of automated workflows by ensuring data inputs are stable, complete, and reliable.
Requirements:
Data governance experience: Strong understanding of data ownership, data standards, taxonomy, attribute management, and governance controls that support consistent product data across systems Analytics and problem-solving skills: Ability to analyze large data sets, identify trends, uncover root causes, and translate findings into practical recommendations for process and data quality improvement AI knowledge and applied automation awareness: Working knowledge of how AI, automation, and machine learning concepts can be used to improve data quality, detect patterns, reduce manual effort, and support smarter reporting and decision-making Report-building ability: Experience creating clear, reliable reports, dashboards, scorecards, and exception views that communicate data health, compliance, risks, and improvement opportunities to both technical and business audiences DRP and business process knowledge: Familiarity with DRP concepts, item data flows, demand and supply planning impacts, and how accurate product data supports downstream operational decisions Attention to detail and data discipline: Commitment to accuracy, consistency, documentation, and follow-through when reviewing data, maintaining standards, and enforcing governance rules Cross-functional communication: Ability to partner with stakeholders across operations, IT, supply chain, product teams, and leadership to explain requirements, resolve data issues, and drive adoption of governance practices Due to the high volume of applications we typically receive, we regret that we are not able to personally respond to all applications. However, if you are invited to take the next step in the process, you will typically be contacted within one week of submitting your application. #LI-DNI