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Metadata Analyst Jobs in Minnesota (NOW HIRING)

RELX

AI Data Analyst

Minneapolis, MN · On-site

This role focuses on data readiness, quality, metadata, and governance, helping teams understand ... The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ...

Target

Item Data Quality Analyst

Minneapolis, MN

$58K - $104K/yr

As an Item Data Quality Analyst, you would join a global industry leading team, specializing in ... Metadata Rule Governance * Establish criteria for Global Data Quality System rules and enforce to ...

New

Horizontal Talent

System Analyst

Minneapolis, MN

Upload, configure, and maintain learning content in the LMS with accurate metadata and version control. * Build and manage curricula, learning paths, journeys, and channels that align with business ...

New

Robert Half

Salesforce BA

Saint Paul, MN · On-site

$57 - $66/hr

We are looking for an experienced Business Analyst to support enterprise product and content ... architecture, metadata models, and organization strategies that improve access and usability.

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All JobsMetadata Analyst JobsMetadata Analyst Jobs in Minnesota

Metadata Analyst information

See Minnesota salary details

$30.4K

$71.8K

$127.3K

How much do metadata analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for metadata analyst in Minnesota is $71,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $85,200.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

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.

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 as a metadata analyst, 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 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 popular job titles related to Metadata Analyst jobs in Minnesota? For Metadata Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Metadata Analyst jobs in Minnesota look for? The top searched job categories for Metadata Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Metadata Analyst jobs? Cities in Minnesota with the most Metadata Analyst job openings:
Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $71,753 per year, or $34.5 per hour.

AI-Native Metadata Librarian

Third Iron LLC

Minneapolis, MN • On-site, Remote

Full-time

Medical, Dental, PTO

Posted 4 days ago

Job description

AI-Native Metadata Librarian
Company: Third Iron, LLC
Position type: Full-time
Location: Remote, US-Based
About the Role
Do you enjoy digging into complex bibliographic data, tracking down inconsistencies, and finding better ways to organize information at scale? Are you the person your colleagues turn to when metadata does not behave as expected-or when a large dataset needs to be understood, cleaned, or transformed? Do you enjoy using Excel, SQL, and AI tools to answer questions and develop more efficient workflows? If so, we would love to talk with you about joining Third Iron as an AI-Native Metadata Librarian.
Since our remote-first company's founding in 2011, Third Iron has created the industry-leading software services BrowZine and LibKey. Our users include millions of students, faculty, doctors, researchers, and scientists affiliated with more than 2,000 libraries at universities, hospitals, corporations, and government departments across 36 countries-including organizations such as Stanford University, Mayo Clinic, NHS England, and the University of Hong Kong.
In this role, you will help improve and evolve the bibliographic data that powers Third Iron's systems and services. Working at the intersection of librarianship, cataloging, data analysis, and emerging technology, you will explore large-scale bibliographic databases, investigate complex metadata issues, and translate your findings into practical improvements for our products, processes, and users. You will use Excel, SQL, and AI-assisted tools while collaborating with technical and product teams to strengthen metadata quality, coverage, matching, and interoperability.
Responsibilities
  • Analyze, clean, reconcile, and enrich large-scale bibliographic and holdings datasets.
  • Investigate metadata quality, duplication, normalization, matching, and entity-resolution issues.
  • Use Excel, SQL, AI tools, and other data-analysis methods to identify patterns, exceptions, and opportunities for improvement.
  • Help design and refine metadata rules, mappings, validation processes, and automated workflows.
  • Evaluate bibliographic data from publishers, aggregators, libraries, and other external sources.
  • Support the evolution of Third Iron's metadata architecture, discovery capabilities, and knowledge-base systems.
  • Develop repeatable methods for assessing metadata completeness, accuracy, consistency, and timeliness.
  • Document data sources, standards, workflows, decisions, and quality-control procedures.
  • Use AI-assisted approaches thoughtfully while validating results and maintaining appropriate standards for accuracy, privacy, and responsible use.
Required Qualifications
  • At least 2 years of professional work experience in libraries, data science, metadata analysis or similar role.
  • Master's degree in library and information science, a related field, or equivalent professional experience.
  • Professional experience working with bibliographic metadata, library systems, discovery services, knowledge bases, or scholarly information.
  • Strong working knowledge of Excel, including functions, filters, lookups, data transformation, and analysis of large datasets.
  • High degree of comfort using AI tools for research, analysis, vibe coding mini apps, workflow development, and problem-solving.
  • Familiarity with bibliographic identifiers and metadata standards such as DOI, ISSN, ISBN, MARC, KBART, Dublin Core, or related formats.
  • Strong analytical skills and the persistence to investigate ambiguous or incomplete data.
  • Ability to explain metadata and data-quality issues clearly to both technical and nontechnical colleagues.
  • Excellent written communication, documentation, and remote-collaboration skills.
  • Experience with APIs, JSON, XML, regular expressions, scripting, or data-transformation tools.
  • Comfortable with reviewing metadata samples and designing tools to analyze data mechanically with AI.
  • Ability to work independently, manage priorities, and contribute effectively within a distributed team.
Preferred Qualifications
  • Experience writing SQL queries to explore, join, validate, and analyze data.
  • Familiarity with metadata supplied by publishers, content aggregators, link resolvers, or library vendors.
  • Knowledge of entity resolution, record matching, deduplication, authority control, or identifier reconciliation.
  • Familiarity with scholarly communication infrastructure and data sources such as Crossref, PubMed, OpenAlex, ORCID, or library knowledge bases.
  • Experience evaluating or developing AI-assisted metadata workflows.
  • Experience collaborating with software engineers, product managers, or data teams.
  • 1+ year of success working in a remote position.
What "AI-Native" Means at Third Iron
We are looking for someone who treats AI as a practical part of modern knowledge work. An AI-native candidate is eager to experiment, understands how to formulate and refine effective prompts, can use AI to accelerate analysis and technical work, and knows when human judgment and verification are essential. A strong candidate will have demonstrated direct experience applying AI to metadata or data-quality challenges.
What Success Looks Like
In this role, you will help Third Iron:
  • Improve the accuracy, consistency, and coverage of its bibliographic data.
  • Identify systemic metadata issues that cannot be solved through one-record-at-a-time cataloging.
  • Develop scalable, repeatable approaches to data analysis and quality control.
  • Make better use of automation and AI while preserving professional standards and human oversight.
  • Turn complex bibliographic data into more reliable and useful experiences for libraries and their users.
Working at Third Iron
This is a remote position designed for someone who communicates proactively, works well independently, and enjoys collaborating across disciplines. You will have the opportunity to apply library expertise at scale and directly influence the data, systems, and services used by Third Iron's customers. Third Iron is a small company of around 30 employees and our growth and success have been fueled by the passionate, curious people who work here. We value input and feedback while looking to minimize the interruptions of meetings, report writing, and internal emails.
Understanding that work is just part of your life, Third Iron also provides benefits including health, dental, long-term disability, paid time-off, home-office stipend, and more. It's why most employees who work at Third Iron spend many years of their careers here. You could, too!

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