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Master Data Associate Jobs in Dallas, TX (NOW HIRING)

Pwc

Data Strategy-Manager

Dallas, TX

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Strategy-Manager

Fort Worth, TX · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Fort Worth, TX · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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How much do master data associate jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for master data associate in Dallas, TX is $18.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.76 per hour, depending on experience, location, and employer.

What is a master data associate?

A Master Data Associate is a professional responsible for managing and maintaining an organization's core data related to business operations, such as customer, product, supplier, and financial information. Their main duties include ensuring data accuracy, consistency, and completeness across various systems, as well as supporting data governance policies. They often collaborate with different departments to implement data standards and resolve data-related issues, playing a key role in enhancing data quality and supporting business decision-making processes.

What are the key skills and qualifications needed to thrive as a master data associate?

To thrive as a Master Data Associate, you need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor’s degree. Familiarity with ERP systems (such as SAP or Oracle), data governance tools, and proficiency in Excel are typically required. Excellent organization, problem-solving, and communication skills help you collaborate effectively and ensure data accuracy. These abilities are essential for maintaining high-quality data, supporting business operations, and enabling informed decision-making across the organization.

How does a master data associate typically collaborate with other departments, and what are some common challenges in cross-functional data management?

A Master Data Associate often works closely with teams such as IT, Finance, Supply Chain, and Sales to ensure data consistency and accuracy across systems. One common challenge is aligning data standards and resolving discrepancies that arise from differing departmental requirements or legacy systems. Effective communication and a keen attention to detail are essential for managing these cross-functional relationships and maintaining high data quality. Regular meetings and clear documentation help address issues promptly and support seamless collaboration.

What is the difference between Master Data Associate vs Data Analyst?

AspectMaster Data AssociateData Analyst
Primary FocusMaintaining and ensuring accuracy of master data recordsAnalyzing data to generate insights and support decision-making
Skills & CertificationsData management, Excel, ERP systems, attention to detailData analysis, SQL, Excel, statistical tools
Work EnvironmentData management teams, back-office, corporate settingsBusiness units, analytics teams, consulting firms
Industry UsageCommon in finance, manufacturing, supply chainWidespread across finance, marketing, healthcare

While both roles involve working with data, a Master Data Associate primarily focuses on maintaining accurate master data records, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap in skills like Excel and data management tools, but their core responsibilities differ significantly.

Is a master data associate a good career?

A master data associate role involves managing and maintaining accurate company data, which is essential for business operations. It offers opportunities for skill development in data management, ERP systems, and attention to detail, often leading to advancement into data analysis or management positions. The career can be stable and rewarding for those interested in data accuracy and organizational efficiency.

What are the most commonly searched types of Master Data jobs in Dallas, TX?

The most popular types of Master Data jobs in Dallas, TX are:

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For Master Data Associate jobs in Dallas, TX, the most frequently searched job titles are:

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Master Data Associate jobs near you
Infographic showing various Master Data Associate job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,554 per year, or $18.5 per hour.

Director, Finance - Master Data & Reporting

Plano, TX • On-site

Data Analysis Incorporated
Finance and Insurance • 51 - 200 employees
Learn more about Data Analysis Incorporatedexternal

Full-time

Posted 10 days ago

Job description

About Us
Data Analysis Incorporated (DAI) is the controlling entity of the O'Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates; if this describes you, please apply!
Summary
DAI is advancing how the enterprise creates, governs, and uses data. This role leads two connected functions: Master Data and Business Intelligence and Reporting. On the master data side, you own the enterprise master data governance operating model and the functional and business process design that govern how foundational data is created, updated, enriched, validated, approved, activated, deactivated, merged, and retired across its lifecycle. On the reporting side, you own enterprise BI and reporting governance, semantic-model and reporting standards, delivery discipline, prioritization, and the analytics Center of Excellence.
Some master data domains are live and require more mature governance; others remain in design. The reporting operating model is also being established. During the first year, you will work closely with business owners, IT, implementation partners, and team members to review designs, challenge assumptions, resolve issues, set priorities, and establish durable operating practices across both sub-functions.
You serve as the coordinating point for master data and reporting issues that cross functional or system boundaries. You resolve matters within the function's scope and drive cross-functional issues to the appropriate business, IT, or implementation-partner owner, coordinating decisions, action, escalation, and follow-through until resolution.
Duties and Responsibilities
Master Data
  • Own and mature the enterprise master data governance operating model across foundational data domains, including Customer, Vendor, Item/Product, Material, Reference Data, and related manufacturing master data and structures such as raw materials, finished goods, BOMs, and formulas.
  • Define the decision-right framework, stewardship responsibilities, standards and controls, data lifecycle processes, service expectations, issue-management practices, and escalation paths that govern those domains. Business and domain owners retain accountability for business decisions, attribute values, and business data quality within their areas.
  • Establish and ensure effective operation of governed workflows across the master data lifecycle, including creation, update, enrichment, validation, approval, activation, deactivation, merge, and retirement. Apply risk-based approval and exception processes that support timely standard transactions and appropriate review of nonstandard requests.
  • Set standards and controls for naming, classification, defaults and derivations, validation, duplicate prevention, lifecycle status, segregation of duties, exception handling, reconciliation, and auditability. Set the roadmap for standardization, simplification, and automation of master data processes and controls.
  • Lead and actively participate in D365 F&O master data functional and business process design, including consequential decisions about classification, lifecycle, units of measure, dependencies, approvals, and workflow. Partner with IT and implementation partners on technical architecture, integrations, security, platform requirements, and technical implementation.
  • Own the data quality governance framework and measures used to identify and prioritize master data issues. Coordinate remediation with business and domain owners, IT, and implementation partners, clarify accountability, escalate where necessary, and monitor progress through resolution. Business and domain owners remain accountable for the quality and remediation of the business data they own; IT remains accountable for technical data integrity and technical remediation.

Qualifications & Requirements
  • Microsoft Fabric and OneLake, including layered or medallion architecture supporting certified semantic models.
  • Experience with governed workflow tooling such as Power Apps, Dataverse, and Power Automate, particularly for enterprise request, approval, and control workflows.
  • Print, packaging, or comparable production environments, including print estimating systems such as Dynamics Print, and Salesforce CPQ or a comparable quote-to-cash platform.
  • Data governance certification such as CDMP, experience with Microsoft Purview, or an MBA or advanced degree in a related discipline.

Working Conditions
Must be able to perform essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each workday), hear the telephone, and enter data on a computer and may also require the ability to lift up to 10 pounds.
Equal Opportunity Employer
Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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