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Master Data Analyst Jobs in Tennessee (NOW HIRING)

Jeffrey Chain

Methods and Data Specialist

Morristown, TN · On-site

$60K - $70K/yr

Supports engineering changes processes, ensuring timely and accurate updates to BOMs, routing, and related master data while maintaining revision control. * Performs analysis of large data sets to ...

Pick Your Part

Data Reporting Analyst

Brentwood, TN · Hybrid

Description The Data Analyst is responsible for providing data analysis and business intelligence ... Master's degree in a related field. * Experience with statistical modeling, predictive analytics ...

X Energy LLC

Data Integration Manager

Oak Ridge, TN · On-site

Master Data Management * Analyze and document master data ownership, identifying and recommending the system of record, authoring systems, and consuming systems for each master data domain.

X Energy LLC

Data Integration Manager

Oak Ridge, TN · On-site

Master Data Management * Analyze and document master data ownership, identifying and recommending the system of record, authoring systems, and consuming systems for each master data domain.

Federal Express Corporation

Sr Crew Data Analyst

Memphis, TN · Hybrid

$76K - $96K/yr

Performs data analytics and analysis utilizing Excel, SQL and/or SAS to ensure accurate pay in ... Strong technical acumen with the ability to understand, learn and master many different diverse ...

Federal Express Corporation

Sr Crew Data Analyst

Memphis, TN · On-site

$76K - $96K/yr

Performs data analytics and analysis utilizing Excel, SQL and/or SAS to ensure accurate pay in ... Strong technical acumen with the ability to understand, learn and master many different diverse ...

Pwc

Data Strategy-Manager

Nashville, TN · On-site

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Nashville, TN · On-site

$99K - $232K/yr

... 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 range for this ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field * 3+ years of experience in a BI or analytics role focused on manipulating data and ...

LaSalle Network

Data Engineer

Brentwood, TN · On-site

$70 - $80/hr

Establish and support data governance, master data management and data quality standards * Support ETL processes and prepare structured data for analytics and dashboard development * Help build a ...

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Master Data Analyst information

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How much do master data analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for master data analyst in Tennessee is $40.25, according to ZipRecruiter salary data. Most workers in this role earn between $27.69 and $50.19 per hour, depending on experience, location, and employer.

What is a master data analyst?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

How does a master data analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What does a master data analyst do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

What jobs can I do with a master's in data analytics?

A master's in data analytics qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

What are the key skills and qualifications needed to thrive as a master data analyst, and why are they important?

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

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

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

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Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $83,725 per year, or $40.3 per hour.

IT Director, Master Data Management (Remote)

Highline Warren

Memphis, TN • On-site, Remote

Full-time

Posted 28 days ago

Highline Warren rating

7.3

Company rating: 7.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

64th of 100 rated chemical manufacturers

Job description

Summary
We are seeking a remote IT Director, Master Data Management, to lead and mature our enterprise MDM practice. This is a high-impact role that blends hands-on technical depth with strategic leadership, owning the MDM platform roadmap, data governance framework, golden record strategy, and team performance. The Director will set data management standards, mentor a team of MDM product owners, technical leads, and analysts, and remain close enough to the work to guide complex data modeling decisions, troubleshoot data quality issues, and drive architectural alignment with enterprise IT standards.
The ideal candidate is equally proficient in presenting a multi-domain MDM strategy to senior leadership and rolling up their sleeves to review match-merge logic, define survivorship rules, or resolve critical data quality incidents. This role partners with C-level executives, business partners, and external suppliers to ensure the business is satisfied with the MDM approach and methodology, delivering a single, trusted view of product, customer, and vendor data across the enterprise.
Key Responsibilities
Hands-On Technical Leadership
  • Serve as the senior technical authority on enterprise master data management, maintaining deep working proficiency in EnterWorks and MDM design patterns including data modeling, match-merge configuration, survivorship rules, and golden record creation.
  • Personally engage in the design and review of complex, high-risk, or cross-domain MDM solutions to ensure data quality, scalability, and alignment with enterprise architecture standards.
  • Define and enforce MDM architecture standards including data domain modeling, hierarchy management, entity resolution patterns, data quality rules, and environment-promotion workflows.
  • Lead root-cause analysis on critical master data quality failures and guide the team toward durable resolution, including remediation of duplicate records, orphaned entities, and cross-system inconsistencies.

Data Governance & Stewardship
  • Develop, implement, and maintain MDM policies, standards, and procedures to support business goals and regulatory compliance requirements.
  • Establish and oversee data governance strategies for product, customer, and vendor data domains, including data ownership, stewardship roles, and accountability frameworks.
  • Define and monitor key performance indicators (KPIs) for data quality, integrity, completeness, and availability across all master data domains.
  • Oversee data stewardship activities and provide guidance to business users on master data processes, change workflows, and approval protocols.
  • Champion the adoption of a business glossary and metadata management practices to ensure common data definitions and business rules across the enterprise.

Strategic Direction & Roadmap
  • Define and own the multi-year MDM platform strategy and technology roadmap, aligned with enterprise architecture principles and business growth objectives.
  • Evaluate emerging MDM technologies, data governance tools, and vendor offerings; make build-vs-buy recommendations with supporting business cases.
  • Lead strategic planning, roadmap development, and operational planning for the MDM function, including domain prioritization and phased rollout plans.
  • Partner with Enterprise Architecture, Integration, Data & Analytics, Application, and Security teams to ensure MDM solutions support the broader technology portfolio.
  • Represent the MDM function in IT governance forums, architecture review boards, steering committees, and other forums as needed.

Business Partnership & Satisfaction
  • Collaborate with IT, business units, and external partners to identify data quality issues, understand business data needs, and drive remediation efforts.
  • Act as the primary liaison between business stakeholders and the MDM team, ensuring the MDM approach and methodology meets business expectations and delivers measurable value.
  • Support major projects and initiatives requiring master data expertise, including acquisitions, system migrations, and edge application implementations, and other projects and enhancements.
  • Facilitate data governance council meetings and cross-functional working sessions to align MDM priorities with business strategy.

Delivery Framework & Execution
  • Establish and continuously improve the MDM delivery framework encompassing intake, estimation, prioritization, sprint planning, testing, deployment, and post-go-live support.
  • Ensure the team follows a consistent SDLC methodology (Agile/Scrum preferred) with well-defined Definition of Ready and Definition of Done for MDM work items.
  • Own release management practices for the MDM platform, coordinating with DevOps/CI-CD pipelines and environment management.
  • Drive adoption of automation in data quality monitoring, data profiling, and data validation to increase velocity and reduce manual effort.

Team and Vendor Performance, Reporting & Resource Management
  • Report on team delivery metrics to IT and business leadership, including throughput, cycle time, backlog health, data quality scorecards, and team utilization.
  • Manage resource capacity planning: balance incoming demand against team availability, flag risks early, and recommend staffing or outsourcing adjustments.
  • Maintain visibility into the MDM backlog; prioritize work in collaboration with business stakeholders and the PMO to maximize value delivery.
  • Conduct regular 1:1s, performance reviews, and career development conversations; build a high-performing, engaged MDM team.
  • Own vendor relationship including sourcing, contracting, and ensuring timely, high quality deliverables.
  • Plans, recruits, hires, and on-boards strong talent to build and sustain a best-in-class MDM team.
  • Prepare executive-level status reports, dashboards, and presentations summarizing MDM program health and strategic progress.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Management, or a related discipline.
  • 10+ years of progressive experience in master data management, data governance, or data management, with at least 5 years in a people-leadership role (Manager or above).
  • Hands-on expertise with enterprise MDM platforms (e.g., EnterWorks, Informatica MDM, Reltio, Profisee, or comparable solutions).
  • Strong knowledge of MDM design patterns including multi-domain data modeling, match-merge and entity resolution, survivorship logic, hierarchy management, and golden record creation.
  • Demonstrated understanding of data governance frameworks, data stewardship models, and data quality management practices.
  • Experience managing MDM technologies and ensuring integration with ERP, CRM, and other enterprise business systems (e.g., SAP, Oracle, Salesforce, or similar).
  • Strong proficiency in SQL and relational databases (SQL Server, Oracle, Snowflake, or similar).
  • Experience working in a hybrid (on-premises and cloud) infrastructure environment.
  • Experience with Agile/Scrum development methodology.
  • Proven ability to manage team capacity, report on delivery metrics, and communicate effectively with both technical and executive audiences.

Preferred Qualifications
  • Master's degree or MBA.
  • Certifications in data management or governance (e.g., CDMP - Certified Data Management Professional, DGSP - Data Governance & Stewardship Professional).
  • Experience establishing or maturing data governance programs, including data governance councils, RACI matrices for data ownership, and business glossary initiatives.
  • Familiarity with data quality and profiling tools for monitoring and enforcing data standards.
  • Experience with data warehousing platforms (Snowflake, Redshift) and analytics pipelines (dbt, Sigma, Tableau).
  • Working knowledge of integration platforms (e.g., Informatica IICS) and how MDM interacts with enterprise integration and data pipelines.
  • Experience with IT portfolio and project management tools such as Jira and/or Confluence.
  • Track record of vendor management, including SOW negotiation, partner delivery oversight, and third-party resource integration.
  • Background in manufacturing, distribution, or B2B industries is a strong plus.

Key Competencies
  • Technical
    • MDM architecture & multi-domain data modeling
    • MDM platform expertise (EnterWorks & comparable)
    • Golden record design & survivorship logic
    • Data governance frameworks & stewardship
    • Data quality management & profiling
    • SQL, data modeling & entity resolution
    • ERP/CRM system integration knowledge
  • Leadership & Management
    • Strategic thinking & roadmap ownership
    • Team building, coaching & mentorship
    • Stakeholder communication & executive reporting
    • Delivery framework design & continuous improvement
    • Capacity planning & resource management
    • Vendor & partner management
    • Cross-functional collaboration & influence

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