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Remote Meta Data Analyst Jobs in Taylor, MI (NOW HIRING)

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Remote Meta Data Analyst information

See Taylor, MI salary details

$31.6K

$76.7K

$126.3K

How much do remote meta data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote meta data analyst in Taylor, MI is $76,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $90,000.00 per year, depending on experience, location, and employer.

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.

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 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.

Diagnostics & Data Systems Engineer

Ford Motor Company

Dearborn, MI • On-site, Remote

$109K - $169K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 7 days ago


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Do you have what it takes to make smart vehicles for a smart world? Join the Ford Product Development team. Utilizing Design Thinking & User Experience methods, you'll work to deliver breakthrough products and services that delight our customers. We're seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!

You'll have... 

Bachelor's degree or foreign equivalent in Mechanical Engineering, Electrical Engineering, Data Science, Computer Science, or a related field and 3 years of experience in the job offered or a related occupation.  3 years of experience with the following skill is required:  1. Diagnosing and resolving 12-volt battery drainage or warranty claims by applying structured quality methodologies (3-Legged 5-Why analysis) to identify the fundamental root cause.  2 years of experience with each of the following skills is required:  1. Utilizing Vector CAN tools to analyze Controller Area Network (CAN) logs, identifying data patterns and anomalous behavior to ensure network integrity and performance. 2. Develop scripts and applications for data analysis, process automation, and software testing using programming language including Python. 3. Conducting testing and validation of complex vehicle systems to ensure functionality, reliability, and compliance with design specifications.  1 year of experience with each of the following skills is required:  1. Working with automotive electrical architecture and leveraging cloud-based diagnostics to support field service, troubleshooting, and continuous improvement.  2. Supporting cloud diagnostics, remote telemetry, and standardized service processes. 3. Working with 12V electrical and energy management systems in software-defined vehicles to assist in identifying and mitigating parasitic drain issues. 4. Querying and analyzing large datasets from cloud platforms, including Azure Data Explorer, Amazon Web Services (AWS) or Google Cloud, to extract insights and inform technical decisions.

We are offering a salary of $109,453.80 - $169,530.72/yr. 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here:

https://fordcareers.co/GSR 

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-DNI

#DNP

Bachelor's degree or foreign equivalent in Mechanical Engineering, Electrical Engineering, Data Science, Computer Science, or a related field and 3 years of experience in the job offered or a related occupation.  3 years of experience with the following skill is required:  1. Diagnosing and resolving 12-volt battery drainage or warranty claims by applying structured quality methodologies (3-Legged 5-Why analysis) to identify the fundamental root cause.  2 years of experience with each of the following skills is required:  1. Utilizing Vector CAN tools to analyze Controller Area Network (CAN) logs, identifying data patterns and anomalous behavior to ensure network integrity and performance. 2. Develop scripts and applications for data analysis, process automation, and software testing using programming language including Python. 3. Conducting testing and validation of complex vehicle systems to ensure functionality, reliability, and compliance with design specifications.  1 year of experience with each of the following skills is required:  1. Working with automotive electrical architecture and leveraging cloud-based diagnostics to support field service, troubleshooting, and continuous improvement.  2. Supporting cloud diagnostics, remote telemetry, and standardized service processes. 3. Working with 12V electrical and energy management systems in software-defined vehicles to assist in identifying and mitigating parasitic drain issues. 4. Querying and analyzing large datasets from cloud platforms, including Azure Data Explorer, Amazon Web Services (AWS) or Google Cloud, to extract insights and inform technical decisions.

We are offering a salary of $109,453.80 - $169,530.72/yr. EOE.

This Job Notice is posted as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer at the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Engineer and manage complex algorithms designed to automatically analyze vehicle data streams, critical for the advanced identification, prediction, and root cause analysis of systemic issues within the vehicle's integrated electronic and software systems. Analyze system behaviors and potential failure modes to formally define and document the specific data acquisition requirements for onboard vehicle modules. Ensure necessary data is captured to facilitate effective analysis and diagnostics. Utilize advanced proficiency in Python programming to develop sophisticated scripts that perform automated data querying, collection, and categorization from large-scale, cloud-based data repositories (AWS and Google Cloud). Perform meticulous analysis of vehicle Controller Area Network (CAN) communication logs to diagnose and isolate the source of complex behavioral faults and performance anomalies, informing the continuous improvement and refinement of the automated diagnostic algorithms. Execute complex queries and employ advanced analytical techniques on massive datasets, comprising millions of data points from the vehicle fleet. Identify statistical patterns, correlations, and unexpected behavioral trends that are not apparent through conventional analysis. Design, implement, and maintain robust, cloud-native tools and analytical platforms. Provide engineering and quality teams with the capability to perform rapid root cause analysis of aberrant vehicle behaviors, significantly reducing diagnostic time and improving product quality.

What you'll be able to do: 

Diagnostics & Data Systems Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Engineer and manage complex algorithms designed to automatically analyze vehicle data streams, critical for the advanced identification, prediction, and root cause analysis of systemic issues within the vehicle's integrated electronic and software systems. Analyze system behaviors and potential failure modes to formally define and document the specific data acquisition requirements for onboard vehicle modules. Ensure necessary data is captured to facilitate effective analysis and diagnostics. Utilize advanced proficiency in Python programming to develop sophisticated scripts that perform automated data querying, collection, and categorization from large-scale, cloud-based data repositories (AWS and Google Cloud). Perform meticulous analysis of vehicle Controller Area Network (CAN) communication logs to diagnose and isolate the source of complex behavioral faults and performance anomalies, informing the continuous improvement and refinement of the automated diagnostic algorithms. Execute complex queries and employ advanced analytical techniques on massive datasets, comprising millions of data points from the vehicle fleet. Identify statistical patterns, correlations, and unexpected behavioral trends that are not apparent through conventional analysis. Design, implement, and maintain robust, cloud-native tools and analytical platforms. Provide engineering and quality teams with the capability to perform rapid root cause analysis of aberrant vehicle behaviors, significantly reducing diagnostic time and improving product quality. Location is 20901 Oakwood Blvd, Dearborn, MI 48124, previously 21000 S Military, Dearborn, MI 48124.


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