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Manufacturing Data Analyst Remote Jobs in Lansing, MI

Facets Analyst

Lansing, MI · Remote

$95K - $98K/yr

Remote - United States Work Hours: EST hours Employment: Full-Time Geographic Restrictions ... Perform data analysis and validation using Oracle SQL/PL/SQL. * Support production issue analysis ...

Facets Analyst

Lansing, MI · On-site +1

$95K - $98K/yr

Remote - United States Work Hours: EST hours Employment: Full-Time Geographic Restrictions ... Perform data analysis and validation using Oracle SQL/PL/SQL. * Support production issue analysis ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

ITPA11 - Business Analyst

Lansing, MI · On-site +1

$24.32 - $44.63/hr

Permanent Full Time Remote Employment: Flexible/Hybrid Job Number: 0801-26-21-126AM Department ... data to DHHS according to MDHHS VERA automated processes, data integrity, and securing MDHHS ...

ITPA11 - Business Analyst

Lansing, MI · On-site +1

$24.32 - $44.63/hr

Position Location/Remote Office: The office location is Lansing, MI. The State of Michigan is not ... data to DHHS according to MDHHS VERA automated processes, data integrity, and securing MDHHS ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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Showing results 1-20

Manufacturing Data Analyst Remote information

See Lansing, MI salary details

$34.5K

$83.8K

$137.9K

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

As of Sep 6, 2026, the average yearly pay for manufacturing data analyst remote in Lansing, MI is $83,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $98,400.00 per year, depending on experience, location, and employer.

What is a manufacturing data analyst?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

How does a manufacturing data analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

What are the key skills and qualifications needed to thrive as a manufacturing data analyst, and why are they important?

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

Is it possible to work remotely as a manufacturing data analyst?

Manufacturing data analysts can often work remotely, especially if their role involves analyzing digital data, creating reports, and using tools like SQL, Excel, or data visualization software. However, some positions may require on-site presence for equipment operation or collaboration with manufacturing teams. Remote work availability depends on the company's policies and the specific responsibilities of the role.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets production and operational data to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with manufacturing teams to optimize efficiency and quality.

What are popular job titles related to Manufacturing Data Analyst Remote jobs in Lansing, MI?

For Manufacturing Data Analyst Remote jobs in Lansing, MI, the most frequently searched job titles are:

What job categories do people searching Manufacturing Data Analyst Remote jobs in Lansing, MI look for?

The top searched job categories for Manufacturing Data Analyst Remote jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Manufacturing Data Analyst Remote jobs?

Cities near Lansing, MI with the most Manufacturing Data Analyst Remote job openings:

Infographic showing various Manufacturing Data Analyst Remote job openings in Lansing, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,819 per year, or $40.3 per hour.

Special Investigations Unit Data Analyst

Delta Dental of Michigan

Okemos, MI • Remote

Full-time

Medical, Dental

Posted 29 days ago


Key responsibilities

  • Designs, develops, validates, and deploys data-driven analytics, predictive models, reporting solutions, and analytical research to support program integrity initiatives.

  • Investigates referrals, performs provider research, analyzes billing and utilization patterns to identify outliers, trends, and potential fraud, waste, or abuse.

  • Creates and maintains dashboards, reports, databases, and analytical tools to support operational oversight, decision-making, and automated workflows.


Job description

Job Title:

Special Investigations Unit Data Analyst

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Fully Remote

Job Summary:

Candidates must reside in Michigan within a reasonable commuting distance of our Okemos, MI office for team meetings, collaborative sessions, and training.

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.

At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To administer data driven activities by transforming raw data into actionable information.

Primary Job Responsibilities:

  • Designs, develops, validates, and deploys data-driven analytics, predictive models, reporting solutions, and end-to-end analytical research to support Professional Review program integrity initiatives, including defining objectives, selecting and evaluating data sources, determining methodologies, performing analysis and testing, conducting quality assurance, and interpreting findings.

  • Investigates internal and external referrals, performs provider research and preliminary investigative reviews, substantiates referral activity, documents work in the appropriate case management system, and analyzes provider billing, utilization, and treatment patterns to identify outliers, emerging trends, potential fraud, waste, and abuse activity, and other areas requiring monitoring or intervention.

  • Develops recommendations regarding provider placement on or removal from Focused Review; maintains associated provider status, tracking, documentation, and follow-up records; and prepares and sends welcome and removal letters and related provider communications.

  • Creates, maintains, and enhances dashboards, databases, monitoring reports, analytic tools, scripts, and repeatable processes that support operational oversight, program integrity initiatives, performance measurement, leadership decision-making, recurring reporting, and automated analytical workflows.

  • Collects, transforms, cleanses, validates, organizes, troubleshoots, and resolves data, reporting, database, and system issues to support analysis-ready data, consistent definitions across sources, and data availability, usability, integrity, and reporting effectiveness.

  • Tracks, analyzes, and reports on denial trends, overpayments, provider performance metrics, fraud, waste, and abuse activity, and other key program integrity indicators while supporting program integrity initiatives, audits, regulatory requests, RFP responses, and special projects through data gathering, analysis, response preparation, and recommendations.

  • Serves as a consultant and subject matter resource for internal and external stakeholders by translating business needs, reporting questions, research requests, needs assessments, case studies, and related analytic deliverables into clear insights that support monitoring activities, operational improvement, and strategic decision-making.

  • Leads or supports Special Investigations Unit and program integrity meetings by developing agendas, documenting meeting minutes, reviewing provider billing and treatment patterns, and tracking follow-up items through completion.

#LI-Remote

Minimum Requirements:

Position requires a bachelor's degree in computer science, information systems, business administration or a related field and three years of experience performing data analytics in a business setting. Will accept any suitable combination or education, training, or experience.

Position requires general knowledge of insurance business, the claims processing system and other business applications; the ability to use data extraction and analysis tools, such as Microsoft Excel, Access, PowerPoint, Oracle Discoverer, ACL and others; strong communication skills; and the ability to resolve problems and use independent judgment.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.