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Remote Meta Data Analyst Jobs in Michigan (NOW HIRING)

Stryker

Senior Manager, Digital (remote)

Detroit, MI · On-site +1

$153K - $255K/yr

Minimum 4 years of experience using data and analytics to measure performance and inform business ... Experience with LinkedIn Campaign Manager, Meta Ads Manager, and Google Ads Manager platforms ...

Meijer Companies Ltd

Business Analyst II

Grand Rapids, MI · On-site +1

$67K - $85K/yr

The Business Analyst II will work with business product owners, data scientists, engineers, and ... Monday-Wednesday in Grand Rapids MI corporate office, Thursday-Friday remote. Position is not ...

New

Aledade PBC

Senior Financial Analyst, Remote

Novi, MI · On-site +1

$80K - $99K/yr

Strong analytical abilities with the capacity to synthesize large amounts of data and provide ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

Stryker

Staff Biostatistician (Remote)

Portage, MI · On-site +1

$124K - $207K/yr

Work Flexibility: Remote Stryker is seeking a Staff Biostatistician to join our Instruments ... Develop statistical analysis plans, including methodology, derived variables, data handling rules ...

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Detroit, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Dearborn, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Lansing, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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All JobsMeta Data Analyst JobsRemote Meta Data Analyst JobsRemote Meta Data Analyst Jobs in Michigan

Remote Meta Data Analyst information

How does a remote meta data analyst typically collaborate with other teams while working off-site?

As a Remote Meta Data Analyst, collaboration is primarily achieved through virtual meetings, project management platforms, and shared data repositories. You will frequently interact with data engineers, business analysts, and IT teams to ensure data accuracy, consistency, and usability. Regular check-ins, clear documentation, and proactive communication are essential for aligning on project goals and addressing any issues quickly. While remote, you are expected to be self-motivated and responsive to maintain seamless teamwork across different time zones and departments.

What is a remote meta data analyst?

A Remote Meta Data Analyst is a professional who works from a remote location to organize, manage, and analyze metadata—data that describes other data—within an organization. Their role typically involves ensuring the accuracy, consistency, and accessibility of metadata across digital systems, which helps improve data quality and supports business decision-making. They may work with data governance teams, IT departments, and business analysts to standardize data assets and comply with regulations. Strong analytical skills, attention to detail, and experience with metadata management tools are important for this role.

What are the key skills and qualifications needed to thrive as a remote meta data analyst?

To thrive as a Remote Meta Data Analyst, you need a solid understanding of data management principles, metadata standards, and a relevant degree in information science, computer science, or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, and data cataloging systems is typically required. Strong analytical thinking, attention to detail, and effective remote communication help you excel in this position. These skills ensure accurate data documentation, streamlined data governance, and effective collaboration across distributed teams.

What is the difference between Remote Meta Data Analyst vs Remote Data Analyst?

AspectRemote Meta Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Data Science, Information Technology, or related field; familiarity with metadata standardsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborating with data management teamsRemote, working with data sets and reporting tools
Industry UsageUsed in data management, digital asset management, and metadata catalogingCommon across finance, marketing, healthcare, and more for data insights

The Remote Meta Data Analyst focuses on managing and organizing metadata to ensure data quality and discoverability, while the Remote Data Analyst primarily analyzes data sets to generate insights. Both roles often work remotely and require strong analytical skills, but their core responsibilities differ in focus on metadata versus raw data analysis.

What are the most commonly searched types of Meta Data Analyst jobs in Michigan?

The most popular types of Meta Data Analyst jobs in Michigan are:

What are popular job titles related to Remote Meta Data Analyst jobs in Michigan?

For Remote Meta Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Meta Data Analyst jobs in Michigan look for?

The top searched job categories for Remote Meta Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote Meta Data Analyst jobs?

Cities in Michigan with the most Remote Meta Data Analyst job openings:

Remote Meta Data Analyst jobs near you

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted yesterday

Intertape Polymer Group rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

73rd of 119 rated packaging manufacturers

Job description

Join the IPG Team!
Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions-we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!
This position can be based out of Marysville, MI, or work remotely with some travel as needed.
Title: Senior Data Scientist
Department: Research and Development
Immediate Supervisor: R&D Vice President
Status: Exempt Salaried
Position Purpose: The Senior Data Scientist willsupport R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.
Principle Accountabilities
  • Partner with polymer scientists, chemists, and engineers to support bio-polymer research and development using data-driven methods
  • Analyze and model experimental, formulation, and process data to identify structure-property-process relationships
  • Develop predictive models to support:
    • Material performance and property optimization
    • Formulation design and screening
    • Scale-up and process optimization
  • Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
  • Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
  • Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets
  • Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D
  • Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders
  • Understanding of data visualization best practices
  • Experience working with batch or streaming data processes a plus
  • Contribute to data dictionaries and process flow diagrams for complex data solutions
  • Mentor junior data scientists or technical staff and contribute to data science best practices within R&D
  • Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research

Essential Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master's or PhD preferred
  • 10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred
  • Strong proficiency in Python and/or R for data analysis and modeling
  • Solid experience with SQL and working with structured and semi-structured datasets
  • Strong foundation in statistics, experimental design, and multivariate analysis
  • Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data
  • Ability to work effectively in a cross-functional R&D environment
  • Strong communication skills with the ability to translate complex analyses into actionable insights
  • Familiarity with bio-polymers, sustainable materials, or polymer processing, preferred
  • Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred
  • Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred
  • Prior experience mentoring or leading technical projects, preferred

Why Choose IPG?
At IPG, you will find more than just a job-you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.
Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.
With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!
We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.
You belong here. Join us today!

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