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Metadata Analyst Jobs in Michigan (NOW HIRING)

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

Collaborating with analysts, data scientists, and business partners to understand data requirements ... Contributing to governance activities such as metadata management, tagging, and lineage tracking ...

Megan soft Inc

Data Architect (W2 Position)

Dearborn, MI · On-site

$58.50 - $75.25/hr

Must be able to demonstrate a solid background in data modeling, canonical modeling, metadata management, data governance, and data flow analysis. Experience Preferred: * Experience with TOGAF, DAMA ...

Amway

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

Collaborating with analysts, data scientists, and business partners to understand data requirements ... Contributing to governance activities such as metadata management, tagging, and lineage tracking ...

Amway

Cloud Data Engineer

Ada, MI · On-site

$112K - $134K/yr

... with analysts, data scientists, and business partners to understand data requirements • ... metadata management, tagging, and lineage tracking Qualifications : Required : • 2+ years of ...

Apexon

Data Architect

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

General Functions/Responsibilities Architect and design business intelligence solutions for accessing and analyzing data and metadata. Experience with Enterprise Data Warehouse (EDW), Data Mart, and ...

New

OptechUs

SAS Administrator

Auburn Hills, MI

... metadata management, data replication, business intelligence, data cleansing and profiling, Data governance and database administration Qualifications Soft Skill Requirements Strong analytical and ...

Tech Tammina LLC

Architect Practitioner

Dearborn, MI · On-site

Must be able to demonstrate a solid background in data modeling, canonical modeling, metadata management, data governance, and data flow analysis. Education Required: * Bachelor degree in Computer ...

Sonsoft Inc

Hyperion Financial Management V4.1

Troy, MI · On-site

At least 4+ years hands on experience in writing HFM rules, metadata design, Report creation in HFR ... Extended analytics * Good understanding of Financial Consolidation and Reporting systems * Strong ...

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All JobsMetadata Analyst JobsMetadata Analyst Jobs in Michigan

Metadata Analyst information

See Michigan salary details

$27K

$63.9K

$113.3K

How much do metadata analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for metadata analyst in Michigan is $63,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,800.00 and $75,800.00 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 Michigan? The most popular types of Metadata Analyst jobs in Michigan are:
What are popular job titles related to Metadata Analyst jobs in Michigan? For Metadata Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Metadata Analyst jobs in Michigan look for? The top searched job categories for Metadata Analyst jobs in Michigan are:
Metadata Analyst jobs near you
Infographic showing various Metadata Analyst job openings in Michigan as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $63,854 per year, or $30.7 per hour.
Cloud Data Engineer

Cloud Data Engineer

Amway Inc.

Ada, MI

$92K - $113K/yr

Full-time

Re-posted 7 hours ago

Job description

Job title:  Data Engineer 

Department / Division:  Data Engineering & Enterprise Integrations/ Data Warehousing

Salary Range: $92,196/yr - $113,890/yr plus bonus

Location:  Ada, MI (onsite)

What we’re looking for:

We are seeking an experienced Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google Cloud Platform (GCP). This is a hands‑on, individual contributor role focused on building scalable, reliable data pipelines that power analytics, reporting, and data products across the organization.

In this role, you’ll work across the full data lifecycle—from ingestion and transformation to governance and consumption—while partnering closely with supply chain, analytics, and global market teams. The work blends project‑based cloud migration with operational data ingestion support, offering both ownership and variety.

What your day-to-day may include:

  • Designing, building, and maintaining ETL/ELT data pipelines using Python and SQL
  • Migrating legacy on‑premise data warehouses and BI datasets to cloud platforms
  • Supporting BI and data warehouse migration initiatives, including large-scale supply chain data
  • Responding to and resolving data ingestion tickets from global markets
  • Collaborating with analysts, data scientists, and business partners to understand data requirements
  • Implementing data quality, monitoring, and reliability practices
  • Leveraging modern developer tools, including AI‑assisted coding tools, to improve efficiency
  • Contributing to governance activities such as metadata management, tagging, and lineage tracking

This role balances heads‑down engineering work with collaboration and cross‑functional problem solving.

Required Qualifications:

  • 2+ years of hands‑on experience as a Data Engineer or similar role
  • Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (or 5+ years of equivalent experience) 
  • Advanced proficiency in SQL, including query optimization and data modeling
  • Strong programming experience in Python for data pipelines and automation
  • Experience designing and building ETL/ELT pipelines for enterprise data platforms
  • Hands‑on experience with at least one cloud platform (GCP preferred; AWS or Azure acceptable)
  • Experience with distributed or big‑data processing frameworks (e.g., Spark, Beam, Hadoop)

 

Skills to Be Successful in the Role:

  • Familiarity with Google Cloud Platform services such as BigQuery, Dataflow, or Dataplex.
  • Experience with modern data warehousing concepts (partitioning, clustering, performance tuning).
  • Exposure to orchestration tools (Airflow / Cloud Composer or similar).
  • Understanding of streaming or event‑driven data architectures (Pub/Sub, Kafka)
  • Knowledge of data governance practices including metadata, lineage, and quality checks.
  • Experience working in Agile/Scrum environments.
  • Strong communication skills and ability to collaborate with technical and non‑technical partners.
  • Comfort navigating ambiguity and learning complex enterprise data ecosystems quickly.

Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future.

 

What’s Special About This Team

The Data Engineering team is leading the transformation of our global data platform, moving from fragmented, localized, on‑premise systems to a unified, cloud‑native ecosystem on Google Cloud Platform.

Our platform serves as a single source of truth for enterprise data, delivering governed, reliable, and high‑quality datasets that power:

  • Operational and executive reporting
  • Advanced analytics and data science initiatives
  • Analytical products used across global markets

The team partners closely with center‑led functional groups (ABO, Customer, Product) and Market Analytics teams worldwide. You’ll join a collaborative group of experienced engineers working on high‑impact modernization efforts, with opportunities to influence platform standards, tooling, and best practices while continuing to grow your technical skills.

Apply