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Metadata Analyst Jobs in Wisconsin (NOW HIRING)

Northwestern Mutual

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $158K/yr

... to support analytics, reporting, ML, and operational use cases. • Define and own data ... metadata practices (Glue Data Catalog, Data Hub/Amundsen or equivalent). • Implement robust ...

Arka Infotech Inc

MDM Resource

Milwaukee, WI · On-site

... metadata repository Work with development staff, business analysts, subject matter expert and conduct JAD sessions to identify and resolve business data requirements and/or data integrity issues 2. ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate requirements into ... Familiarity with data governance, metadata management, and data quality practices * Excellent ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

$122K - $170K/yr

Metadata management and lineage systems Ensure architectural consistency across environments ... Data Science and Analytics teams to enable advanced modeling and experimentation * Software ...

Compunnel

Data Architect

Racine, WI · On-site

$59.75 - $77/hr

... data analysis , reporting and visualization of data from data warehouse using any one tool like ... and metadata; take steps to assure metadata accuracy and validity d) Establish methods and ...

JLL

RME Planner

Sun Prairie, WI · On-site

Develop and maintain accuracy of equipment metadata by regularly collecting and inputting ... Works with corporate EAM Business Analysts to roll out new functionality, standard object coding ...

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

Establish architectural principles for data quality, security, governance, metadata management, and master data management. * Lead the architecture and design of enterprise reporting and analytics ...

trane technologies

Senior Data Modeler

La Crosse, WI · On-site

Drive metadata management practices to ensure consistent interpretation of data across systems ... Work closely with business analysts and product owners to validate model semantics and usability.

Artisan Partners

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... cause analysis, and implement durable fixes • Improve observability through metrics, logging ... audit/metadata management, and cloud provider usage • Document architecture, operational ...

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Metadata Analyst information

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$31.3K

$73.9K

$131.2K

How much do metadata analyst jobs pay per year?

As of Jul 16, 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.

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 Wisconsin? The most popular types of Metadata Analyst jobs in Wisconsin are:
What are popular job titles related to Metadata Analyst jobs in Wisconsin? For Metadata Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Metadata Analyst jobs in Wisconsin look for? The top searched job categories for Metadata Analyst jobs in Wisconsin are:
Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,946 per year, or $35.6 per hour.
Senior Software Engineer

Senior Software Engineer

Northwestern Mutual

Milwaukee, WI • On-site

$120K - $158K/yr

Full-time

Re-posted 20 days ago

Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

145th of 281 rated insurance

Job description

Job Summary:
Northwestern Mutual is a leading financial services company, seeking a Senior Software Engineer to join their data domain team. The role involves designing and delivering end-to-end data platforms and pipelines, ensuring data quality, governance, and security, while collaborating with various teams across the organization.
Responsibilities:
• Lead the design and delivery of end-to-end data platforms and pipelines (batch and streaming) using AWS services to support analytics, reporting, ML, and operational use cases.
• Define and own data architecture decisions, standards, and best practices.
• Produce and maintain Architecture Decision Records (ADRs), runbooks, and high-quality diagrams.
• Architect and implement data lake and/or data warehouse solutions (ingestion, storage, transformation, serving) using S3, Glue, Redshift, Athena, and related services.
• Build and optimize ETL/ELT workflows with Spark, Glue, Lambda, Step Functions, and orchestration frameworks (Airflow, Dagster).
• Design and operate streaming ingestion and processing using Kinesis, MSK, and Kafka ecosystems; collaborate on re-architecture efforts to reduce cost and improve resilience.
• Drive data modeling, schema design, partitioning, and query optimization for large data sets to meet performance and cost targets.
• Establish and operationalize data quality, validation, observability, lineage, and metadata practices (Glue Data Catalog, Data Hub/Amundsen or equivalent).
• Implement robust security, governance, and compliance controls (IAM, Lake Formation, KMS, VPC, data masking/security scanning) and collaborate with security and privacy teams.
• Champion cost optimization across the data stack (serverless architectures, right-sizing, Graviton/spot/commitment strategies) and provide continuous cost governance.
• Own production reliability: monitoring, SLIs/SLOs, incident response, postmortems, and continuous improvements.
• Lead and mentor engineers, run design reviews, and promote cross-team collaboration with product, analytics, ML, and platform teams.
• Influence roadmap, capacity planning, and hiring for the data engineering function; represent the team in senior technical forums.
Qualifications:
Required:
• 7+ years of hands-on experience in data engineering, architecting and operating data platforms at scale.
• Demonstrated leadership on large, complex data projects and strong ability to influence technical and product stakeholders.
• Extensive hands-on experience with AWS data services: S3, Glue, Redshift (Spectrum/RA3), Athena, EMR, Lambda, Kinesis/MSK, DMS.
• Strong programming skills in Python and/or Scala (or Java); proven track record writing production-quality, testable code.
• Deep expertise in SQL with experience designing and optimizing queries for high-volume data.
• Experience with distributed processing frameworks (Spark) and modern ETL/ELT patterns.
• Proficiency with orchestration and workflow tools (Airflow, Step Functions, Dagster) and CI/CD for data pipelines.
• Strong skills in infrastructure-as-code (Terraform, CloudFormation, or CDK) and GitOps practices.
• Experience implementing data security, governance, and access controls at scale.
• Expertise in observability, monitoring, and incident management (CloudWatch, Prometheus, Grafana, structured logging, tracing).
• Excellent communication skills and proven ability to mentor and lead engineers.
Preferred:
• AWS certifications (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect) or equivalent.
• Experience with data lakehouse technologies (Delta Lake, Iceberg, Databricks Unity Catalog), and large-scale performance troubleshooting.
• Familiarity with metadata and lineage tooling (Amundsen, DataHub, OpenLineage).
• Prior experience with cost-optimization programs (Graviton, serverless, spot instances) and demonstrable results.
• Contributions to open-source projects, publications, or conference presentations on data engineering topics.
• Experience working in regulated industries (finance, healthcare) and implementing compliance controls.
Company:
At Northwestern Mutual, our financial advisors are ready to meet you where you are and stay with you long-term. Founded in 1857, the company is headquartered in Milwaukee, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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About Northwestern Mutual

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Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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