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Metadata Analyst Jobs in Wisconsin (NOW HIRING)

htna

Business Analyst

Milwaukee, WI · Hybrid

Job Summary We are seeking a highly analytical and collaborative Business Analyst to support ... Support metadata management and data lineage documentation. Data Development & Integration * Work ...

Brady Corporation

SEO Analyst

Milwaukee, WI · On-site

Optimize on-page SEO: landing page and content article ideation, keyword gap analysis to take advantage of whitespace opportunity, metadata optimization and redirects * Work with technology teams to ...

Carroll University

Sr. Data Analyst

Waukesha, WI

$86K - $108K/yr

... data dictionaries, and metadata documentation. * Promote responsible and secure use of ... Support analytics and business intelligence platforms such as Power BI, or similar tools. * Assist ...

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Metadata Analyst information

See Wisconsin salary details

$31.3K

$73.9K

$131.2K

How much do metadata analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for metadata analyst in Wisconsin is $73,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $87,800.00 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.
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Metadata Analyst jobs near you

Business Analyst

htna

Milwaukee, WI • Hybrid

Other

Posted 18 days ago

Job description

Job Summary

We are seeking a highly analytical and collaborative Business Analyst to support enterprise-wide initiatives focused on data governance, data development and improvement, business intelligence (BI), and ERP implementation. This role will be instrumental in bridging the gap between business needs and technical solutions, ensuring data integrity, optimizing data flows, and enabling strategic decision-making through robust analytics and reporting. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.

Essential Functions:

Data Governance & Quality

  • Collaborate with data stewards and business units to define and enforce data governance policies and standards.
  • Monitor data quality metrics and lead initiatives to improve data accuracy, completeness, and consistency.
  • Support metadata management and data lineage documentation.

Data Development & Integration

  • Work with business stakeholders and developers to define requirements for new datasets and enhancements to existing ones.
  • Assist in mapping source systems to target data warehouse structures.
  • Validate data transformations and ensure alignment with business rules.

Business Intelligence & Reporting

  • Partner with BI developers to design and deliver dashboards, reports, and analytics solutions.
  • Translate business questions into data queries and visualizations.
  • Provide insights and recommendations based on data analysis.

ERP Implementation Support

  • Participate in ERP project planning, requirements gathering, testing, and deployment phases.
  • Document business processes and identify opportunities for automation and improvement.
  • Ensure ERP data aligns with enterprise data standards and integrates effectively with other systems.

Key Competencies

  • Analytical Thinking
  • Problem Solving
  • Attention to Detail
  • Business Acumen
  • Collaboration & Communication
  • Adaptability

Qualifications (skills, knowledge, experience)

  • Bachelor’s degree in Business, Information Systems, Data Analytics, or related field.
  • 3+ years of experience in business analysis, data management, or BI.
  • Strong understanding of data governance principles and data warehousing concepts.
  • Experience with ERP systems (e.g., SAP, Oracle).
  • Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).
  • Excellent communication and stakeholder engagement skills.

Preferred:

  • Experience with cloud data platforms (e.g., Fabric, Power BI).
  • Knowledge of master data management (MDM) and data cataloging tools.

#LI-Hybrid  #LI-DM3

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