Clinical Data Analyst Jobs in Grand Rapids, MI
Clinical Data Analyst jobs in Grand Rapids are concentrated in the Medical Mile corridor and the downtown medical district, with additional openings in Kentwood and Wyoming across health systems, medical device companies, and clinical research organizations. Employers hiring right now include Corewell Health, BISSELL, and BDO. See the openings below and apply to the ones that match your experience.
Find Clinical Data Analyst JobsOverview
Open roles20
Top employerCorewell Health
Work type75% On-site
Top credentialBachelor's degree
Companies hiring15
Showing 5 of 20+ Clinical Data Analyst jobs
Artificial Intelligence Data Architect and Engineer
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New 1m ago
Logisnext Americas Inc
Artificial Intelligence Data Architect and Engineer
Grand Rapids, Michigan
New 1m ago
Data Scientist II
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New 1m ago
Meijer
Data Scientist II
Grand Rapids, Michigan
New 1m ago
Data Engineer
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New 1m ago
Corewell Health
Data Engineer
Grand Rapids, Michigan
New 1m ago
Sr. Data Engineer
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New 1m ago
Corewell Health
Sr. Data Engineer
Grand Rapids, Michigan
New 1m ago
Data Analyst - Division of K-12 Education Innovation and Scholar Success
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New 1m ago
Grand Valley State University
Data Analyst - Division of K-12 Education Innovation and Scholar Success
Grand Rapids, Michigan
New 1m ago
New 1m ago
Artificial Intelligence Data Architect and Engineer
Logisnext Americas Inc·Grand Rapids, Michigan
Job functions:
Hybrid
Bachelor's degree
1,001-5,000 employees
Job Description
About Us:
Logisnext Americas Inc. has supported customers for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.
About the role:
The AI Data Architect & Engineer plays a critical role in building and scaling the company’s long‑term data and AI capabilities. This dual-role position is responsible for both architecting enterprise-grade data platforms and hands-on development of data pipelines and integrations that support telematics, operational systems, analytics, predictive maintenance, and AI-driven applications. The ideal candidate combines strong data-engineering execution skills with architectural thinking and experience working with industrial IoT, telemetry, and other high‑volume machine-generated data. This role requires a balance of strategic design leadership and roll‑up‑your‑sleeves implementation.
What you will do:
- Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
- Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
- Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
- Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
- Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
- Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
- Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.
When & Where:
Hybrid Work Schedule: in the office 3 days a week. Travel less than 15%.
What you need to have:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 7+ years of experience in data engineering, data architecture, or cloud-based data platforms
- Strong proficiency in SQL and Python
- Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
- Hands-on experience with cloud platforms, with Microsoft Azure preferred
- Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
- Strong understanding of data modeling, schema design, database optimization, and data integration patterns
- Experience working with APIs, JSON, streaming data, and IoT or telematics data structures
What would be nice to have:
- Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
- Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
- Experience supporting machine learning or AI-driven applications
- Exposure to edge computing or hybrid cloud and edge architectures
- Experience working with data governance considerations across multiple geographic regions, including North America and Europe
- Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations
What we offer:
- Medical, dental, and vision benefits
- Paid Vacation, Sick Time, and Paid Holidays
- Profit Sharing Opportunities
- Flexible Spending and HSA Accounts
- 401k with automatic company contribution and company match
- Short-term and long-term disability insurance
- Life, Dependent Life, and AD&D Insurance
- Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
- Employee Assistance Program
- Employee Discounts
- On-site fitness center (Houston)
- On-the-job training and development
The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.
To be considered for this role, all applicants must submit a full and complete application through our careers page.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Equal Opportunity Employer/Veterans/Disabled
Agency Disclaimer:
Logisnext Americas Inc. does not accept unsolicited resumes from third party vendors. Any unsolicited resumes from a third party will become the property of the company to use at the company’s discretion, with the understanding that Mitsubishi Logisnext Americas, Inc. will not be billed a fee for any such resumes. If a company is designated as an approved vendor, then said company can only provide assistance on those positions requested via a formal written agreement of support.
Logisnext Americas Inc
Artificial Intelligence Data Architect and Engineer
Grand Rapids, Michigan
New 1m ago1,001-5,000 employees
Job functions:
Hybrid
Bachelor's degree
Job Description
About Us:
Logisnext Americas Inc. has supported customers for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.
About the role:
The AI Data Architect & Engineer plays a critical role in building and scaling the company’s long‑term data and AI capabilities. This dual-role position is responsible for both architecting enterprise-grade data platforms and hands-on development of data pipelines and integrations that support telematics, operational systems, analytics, predictive maintenance, and AI-driven applications. The ideal candidate combines strong data-engineering execution skills with architectural thinking and experience working with industrial IoT, telemetry, and other high‑volume machine-generated data. This role requires a balance of strategic design leadership and roll‑up‑your‑sleeves implementation.
What you will do:
- Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
- Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
- Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
- Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
- Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
- Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
- Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.
When & Where:
Hybrid Work Schedule: in the office 3 days a week. Travel less than 15%.
What you need to have:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 7+ years of experience in data engineering, data architecture, or cloud-based data platforms
- Strong proficiency in SQL and Python
- Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
- Hands-on experience with cloud platforms, with Microsoft Azure preferred
- Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
- Strong understanding of data modeling, schema design, database optimization, and data integration patterns
- Experience working with APIs, JSON, streaming data, and IoT or telematics data structures
What would be nice to have:
- Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
- Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
- Experience supporting machine learning or AI-driven applications
- Exposure to edge computing or hybrid cloud and edge architectures
- Experience working with data governance considerations across multiple geographic regions, including North America and Europe
- Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations
What we offer:
- Medical, dental, and vision benefits
- Paid Vacation, Sick Time, and Paid Holidays
- Profit Sharing Opportunities
- Flexible Spending and HSA Accounts
- 401k with automatic company contribution and company match
- Short-term and long-term disability insurance
- Life, Dependent Life, and AD&D Insurance
- Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
- Employee Assistance Program
- Employee Discounts
- On-site fitness center (Houston)
- On-the-job training and development
The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.
To be considered for this role, all applicants must submit a full and complete application through our careers page.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Equal Opportunity Employer/Veterans/Disabled
Agency Disclaimer:
Logisnext Americas Inc. does not accept unsolicited resumes from third party vendors. Any unsolicited resumes from a third party will become the property of the company to use at the company’s discretion, with the understanding that Mitsubishi Logisnext Americas, Inc. will not be billed a fee for any such resumes. If a company is designated as an approved vendor, then said company can only provide assistance on those positions requested via a formal written agreement of support.
See All 20 Clinical Data Analyst Jobs in Grand Rapids
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Find Clinical Data Analyst JobsClinical Data Analyst Job Market in Grand Rapids
Who's Hiring
- Corewell Health5
- BISSELL2
- BDO1
- Meijer1
- AIRLIFE1A
Top Industries Hiring
- Manufacturing2
- Accounting & Auditing1
- Technology & Software1
- Investment & Asset Management1
- Consulting & Professional Services1
Clinical Data Analyst Jobs in Grand Rapids: Frequently Asked Questions
How do I get a clinical data analyst job in Grand Rapids?
The strongest path into Grand Rapids clinical data analyst roles runs through the city's health systems, medical device manufacturers, and contract research organizations clustered along the Medical Mile and in the surrounding West Michigan healthcare corridor. Candidates who combine hands-on experience with tools like SAS, SQL, or Python alongside familiarity with clinical trial data standards stand out. Building connections through Spectrum Health, Corewell Health, and local medical device firms gives you a meaningful edge over applicants without West Michigan ties.
Which companies hire clinical data analysts in Grand Rapids?
Grand Rapids clinical data analyst roles are posted by Corewell Health, BISSELL, and BDO and others right now, based on current listings on Migrate Mate as of July 2026. The local market is anchored by large integrated health systems and a dense cluster of medical device and life sciences companies that make West Michigan one of the more active mid-sized markets for this role in the Midwest.
Are there remote clinical data analyst jobs in Grand Rapids?
Yes, clinical data analyst work is largely desk-based and data-driven, making it well suited to remote and hybrid arrangements. About 25% of clinical data analyst openings tied to Grand Rapids are remote or hybrid as of July 2026, reflecting broader flexibility across health informatics and clinical research functions. Data management, statistical programming, and report generation are the tasks most commonly performed remotely in Grand Rapids-area postings.
How can I get a clinical data analyst job in Grand Rapids with little or no experience?
The most realistic entry path in Grand Rapids is a junior data analyst or clinical research coordinator role at one of the city's health systems or contract research organizations, where on-the-job exposure to clinical databases and regulatory workflows substitutes for prior analyst experience. Local medical device companies in the Kentwood and Wyoming industrial corridors also hire entry-level data associates who can transition into clinical data roles. A certificate in clinical data management or demonstrated SQL proficiency helps candidates clear the initial screening at these employers.
Which industries hire the most clinical data analysts in Grand Rapids?
The sectors hiring the most clinical data analysts in Grand Rapids are Manufacturing, Accounting & Auditing, and Technology & Software, based on current listings on Migrate Mate as of July 2026. Grand Rapids' unusually dense concentration of health systems, medical device manufacturers, and clinical research organizations relative to its population size drives consistently strong local demand for this role.
See All 20 Clinical Data Analyst Jobs in Grand Rapids
Find roles in Grand Rapids that match your experience and apply in just a few clicks.
Find Clinical Data Analyst Jobs