ZipRecruiter

Log In

1

Metadata Analyst Jobs in Texas (NOW HIRING)

GDH

Metadata Analyst

Richardson, TX · On-site

$65 - $72.78/hr

Role Summary The Metadata Analyst is a mid-level position responsible for ensuring the accuracy, completeness, and consistency of metadata across enterprise data assets. Working within the Enterprise ...

Sentar, Inc.

Intrusion Analyst 3

San Antonio, TX · On-site

Analyze metadata collected from tasked communications systems in order to identify, locate, and track targets, and to accurately report the intelligence gained from metadata analysis. * Categorize ...

Sentar

Intrusion Analyst 3

San Antonio, TX · On-site

Analyze metadata collected from tasked communications systems in order to identify, locate, and track targets, and to accurately report the intelligence gained from metadata analysis. * Categorize ...

Sentar

Intrusion Analyst 3

San Antonio, TX

Analyze metadata collected from tasked communications systems in order to identify, locate, and track targets, and to accurately report the intelligence gained from metadata analysis. * Categorize ...

Syntricate Technologies

Business Analyst

Austin, TX · On-site

The contractor will review, analyze, and evaluate business systems and processed to build an operational metadata management process. Required Skills: * Bachelor's degree in a related field or ...

next page

Showing results 1-20

All JobsMetadata Analyst JobsMetadata Analyst Jobs in Texas

Metadata Analyst information

See Texas salary details

$28.9K

$68.3K

$121.1K

How much do metadata analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for metadata analyst in Texas is $68,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $81,100.00 per year, depending on experience, location, and employer.

What is a Metadata Analyst job?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data manipulation, statistical analysis, and tools like Excel, SQL, and Python. Many professionals transition into data analysis later in their careers by gaining relevant certifications or training, regardless of age.

How much does a metadata analyst make?

A metadata analyst's salary typically ranges from $50,000 to $90,000 annually, depending on experience, location, and industry. Professionals with skills in data management tools and certifications may earn higher salaries, especially in larger organizations or tech-focused environments.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior media analysts, media directors, or digital strategists can earn $150,000 or more annually. These positions often require extensive experience, advanced skills in data analysis or media planning, and proficiency with industry tools like analytics platforms or content management systems.

What are some typical challenges a Metadata Analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

What are the key skills and qualifications needed to thrive in the Metadata Analyst position, and why are they important?

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

What does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and analyzing metadata to improve data retrieval and usability. They often work with data management tools, ensure data quality, and develop standards for metadata documentation to support data governance and searchability.
What are the most commonly searched types of Metadata Analyst jobs in Texas? The most popular types of Metadata Analyst jobs in Texas are:
What are popular job titles related to Metadata Analyst jobs in Texas? For Metadata Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Metadata Analyst jobs in Texas look for? The top searched job categories for Metadata Analyst jobs in Texas are:
What cities in Texas are hiring for Metadata Analyst jobs? Cities in Texas with the most Metadata Analyst job openings:
Metadata Analyst jobs near you
Metadata Analyst

Metadata Analyst

GDH

Richardson, TX • On-site

$65 - $72.78/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role Summary
The Metadata Analyst is a mid-level position responsible for ensuring the accuracy, completeness, and consistency of metadata across enterprise data assets. Working within the Enterprise Data Governance team, this role supports data transparency, regulatory compliance, and analytics initiatives by effectively capturing, curating, and maintaining metadata. The analyst collaborates with data owners, engineers, and business partners to promote data discoverability, understanding, and governance throughout the data lifecycle.

Responsibilities

  • Capture, document, and maintain business, technical, and operational metadata for enterprise data assets including datasets, reports, pipelines, and data products.
  • Populate and curate the enterprise data catalog to enhance data discoverability, understanding, and reuse.
  • Partner with data owners and stewards to define business terms, data definitions, lineage, and usage context.
  • Support the development and upkeep of the enterprise business glossary and metadata standards.
  • Document data lineage, data flows, and transformations across various systems and platforms.
  • Collaborate with data governance, data quality, architecture, and engineering teams to embed metadata into data delivery processes.
  • Assist in classifying data, applying sensitivity tags, and ensuring compliance with regulatory, privacy, and risk requirements.
  • Monitor the completeness and quality of metadata, identifying gaps and driving remediation efforts.
  • Contribute to the continuous improvement of metadata management processes, templates, and tooling adoption.
  • Provide guidance to data consumers on how to locate, interpret, and utilize governed data assets effectively.

Qualifications

  • 3–5+ years of experience in data governance, metadata management, data analysis, or related fields.
  • Hands-on experience with data catalog tools or metadata repositories such as Collibra, Alation, DataHub, OpenMetadata, OvalEdge, or similar.
  • Familiarity with data concepts including data lineage, data quality, data modeling, and data lifecycle management.
  • Proven ability to work with both technical teams (data engineering, architecture) and business stakeholders.
  • Strong analytical, documentation, and attention to detail skills.
  • Understanding of data regulatory, risk, and compliance considerations (preferred).
  • Excellent communication skills with the ability to translate technical data concepts into business-friendly language.
  • Bachelor''s degree in Information Systems, Computer Science, Data Analytics, Business, or related field; equivalent practical experience considered.
  • Relevant certifications in data management or governance (e.g., DAMA CDMP, Collibra, Alation) are a plus but not mandatory.

Publishing Pay Range: $65.00 - $72.78 hourly

This position offers a hybrid schedule, with time split between the office and remote work.

Apply