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Metadata Analyst Jobs in Texas (NOW HIRING)

NovaLink Solutions

Sr Business Analyst

Austin, TX

$91K - $118K/yr

Overview The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across ...

New

Novalink Solutions

Sr Business Analyst

Austin, TX

$91K - $118K/yr

Overview The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across ...

New

Keysight Technologies, Inc.

Product Manager

Austin, TX · On-site

Keysight is looking for a Product Manager with experience and expertise in mobile communication and enterprise network metadata, data processing and storage, metadata analysis, and AI. In this role ...

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 ...

Sentar, Inc.

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 ...

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 ...

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 ...

RealmOne

Intrusion Analyst

San Antonio, TX

You will 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. You ...

Keysight Technologies, Inc.

Product Manager

Austin, TX · On-site

Keysight is looking for a Product Manager with experience and expertise in mobile communication and enterprise network metadata, data processing and storage, metadata analysis, and AI. In this role ...

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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 Jun 13, 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.

How much does a metadata analyst make?

A metadata analyst at Netflix typically earns between $70,000 and $110,000 annually, depending on experience and location. Salaries may also include benefits such as health insurance and stock options, and the role often requires proficiency with data management tools and metadata standards.

How much does a metadata analyst make in the US?

A metadata analyst in the US typically earns between $50,000 and $85,000 annually, depending on experience, location, and industry. Entry-level positions may start around $45,000, while experienced analysts with specialized skills can earn over $90,000. The role often requires proficiency in data management tools and attention to detail.

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.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a metadata analyst, such as data cleaning and pattern recognition, but it does not fully replace the need for human expertise in interpreting data, making strategic decisions, and ensuring data quality. Data analysts are increasingly required to work alongside AI tools, leveraging skills in data management, analysis, and visualization to add value. The role continues to evolve with a focus on combining technical proficiency with domain knowledge and critical thinking.

What does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and ensuring the accuracy of metadata, which is data that describes other data. They often work with data management tools, perform quality checks, and develop standards to improve data retrieval and usability within organizations.
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
Infographic showing various Metadata Analyst job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Hybrid job distribution, with an average salary of $68,254 per year, or $32.8 per hour.
Sr Business Analyst

Sr Business Analyst

NovaLink Solutions

Austin, TX

$91K - $118K/yr

Other

Posted 2 days ago

Job description

Job Description:

Reviews, analyzes, and evaluates business systems and user needs. Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more effective. Familiar with industry standard business process mapping, and reengineering. Prepares solution options, risk identification, and financial analyses such as cost/benefit, ROI, buy/build, etc. Writes detailed description of user needs, program functions, and steps required to develop or modify computer programs.The Department of Information Resources (DIR) requires the services of a Business Analyst 3 hereafter referred to as Worker, who meets the general qualification of Business Analyst 3, Emerging Technologies and the specifications outlined in this document for Health and Human Services Commission (HHSC) Information Technology. All work products resulting from the project shall be considered works made for hire and are the property of the HHSC. HHSC may include pre-selection requirements that potential Vendors (and their Workers) submit to and satisfy criminal background checks as authorized by the Texas law. HHSC will pay no fees for interviews or discussions, which occur during the process of selecting a Worker(s). HHSC IT is continuing to develop an Enterprise Information Management (EIM) system under the Performance Management & Analytics System (PMAS).This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS). As a member of the agile development team, the worker responsibilities may include: Overview The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine business and technical glossary definitions for developing agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of metadata acquisition, analysis and enrichment, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI. Responsibilities Strategic Liaison and Translation o Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT. o Automate regular collection and updates to agency metadata for high value data assets. o Explain technical findings and data limitations in simple, non-technical language to end-users. Data Reporting and Visualization o Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs. o Collaborate with end-users and performance analysts or IT internal leaders to create visualizations for enrichment progress and official reporting. o Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations. o Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations. Data Literacy and Training o Champion data glossary literacy across the organization by developing and conducting training sessions for non-technical staff. o Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis. o Promote a data-driven culture by enabling and empowering all employees to effectively utilize metadata and AI. Collaboration and Problem-Solving o Work closely with data engineering, IT, and Program teams to troubleshoot metadata-related issues and address inconsistencies and mitigation strategies. o Provide expert guidance to program staff on interpreting data trends and answering complex data questions. o Stay up to date on new AI and metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting. AI Prompting and Data Synthesis o Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains. o Guide non-technical users in crafting precise prompts to get the glossary data they need, ensuring fidelity and accuracy. o Develop a library of standardized prompts and query templates for common reporting needs.
  1. CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

8

Required

Experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics

8

Required

Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.

8

Required

Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.

8

Required

Strong experience with SQL for data extraction, manipulation and enrichment.

8

Required

Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis.

8

Required

Excellent communication, presentation, and interpersonal skills.

5

Preferred

Experience with Business Intelligence/Data Warehouse

5

Preferred

Experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects

5

Preferred

Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements.

5

Preferred

Experience with data governance and data quality principles

5

Preferred

Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance.

2

Preferred

Experience championing data literacy across the organization

2

Preferred

Experience training and mentoring staff with varying levels of data literacy.

1

Preferred

Experience with AI prompt development

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