Data Analytics Engineer Jobs in Wisconsin
Data Analytics Engineer jobs in Wisconsin are open across Madison, Milwaukee, and Menomonee Falls and other Wisconsin metros, with employers like Kohl's, CliftonLarsonAllen, and Milwaukee Tool hiring at every experience level. Find a role that fits below and apply directly.
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Job Description:
Come be DISRUPTIVE with us! At Milwaukee Tool, our most valued resource is our dedicated team of employees - employees who work with a passion to be the best and have an unparalleled pride in their work and in the Milwaukee brand. We know that the only way to sustain growth and success is to value the growth and success of each person within the organization that’s why we invest in an individual’s growth and development from day one.
Our fast-paced, agile environment continuously delivers disruptive technologies by providing every team with the resources needed to excel and deliver heavy duty products with high performance. We create Best in Class products by leveraging advanced analysis tools, state-of-the-art quality controls and cross-functional agility.
Your Role on Our Team
As a Metrology Data, Systems, and Automation Engineer, you will help modernize metrology operations by improving how measurement data is collected, organized, analyzed, reported, and connected across engineering, quality, manufacturing, supplier, and enterprise systems. This role is well suited for candidates with experience in metrology, quality engineering, manufacturing engineering, software automation, data analytics, systems integration, technical applications support, or related technical disciplines. You will evaluate and implement new technologies, develop practical automation and reporting solutions, and serve as a technical bridge between Metrology Engineering, IT, and cross-functional business partners.
You’ll also be DISRUPTIVE through these duties and responsibilities:
- Research, evaluate, and recommend metrology hardware, inspection software, automation tools, AI-enabled solutions, data platforms, and digital reporting technologies.
- Lead feasibility studies, benchmarking, implementation planning, testing criteria, documentation, training, and change management for new metrology applications and workflows.
- Design and implement software-based solutions that improve metrology data flow, reporting speed, traceability, usability, and integration with enterprise systems.
- Develop scripts, tools, automated workflows, low-code solutions, AI agents, bots, dashboards, or standardized templates for data extraction, transformation, report generation, workflow automation, and performance tracking.
- Serve as the primary technical link between Metrology Engineering and IT for software tools, system integrations, database connectivity, permissions, cybersecurity, licensing, file architecture, and digital infrastructure.
- Translate metrology, quality, manufacturing, and engineering workflow needs into clear business and technical requirements while aligning operational needs with scalable, supportable solutions.
- Drive standardization of metrology software workflows, naming structures, file organization, data storage methods, reporting practices, and digital lifecycle control.
- Support continuous improvement projects that improve metrology efficiency, quality system compliance, reporting consistency, and digital transformation.
- Collaborate with global and regional teams to share best practices, support user adoption, and build repeatable solutions that can scale across laboratories, suppliers, and manufacturing environments.
What TOOLS you’ll bring with you:
- Bachelor’s degree in Engineering, Computer Science, Data Analytics, Manufacturing Engineering, Mechanical Engineering, Industrial Technology, Quality, or a related technical field; equivalent relevant experience will also be considered.
- 3+ years of experience in one or more of the following areas: metrology, quality engineering, manufacturing engineering, inspection technology, software applications, data analytics, automation, systems integration, technical support, or related technical work.
- Exposure to metrology, inspection, quality, manufacturing, or engineering systems such as CMMs, vision systems, optical scanners, laser scanners, CT/X-ray, gages, test equipment, CAD-based inspection, or related technologies.
- Hands-on experience improving data handling, reporting, automation, scripting, programming, dashboards, databases, or workflow tools in an engineering, quality, manufacturing, lab, or technical business environment.
- Interest in or experience with AI, AI agents, bots, low-code tools, or workflow automation used to improve data handling, reporting, troubleshooting, user support, or process efficiency.
- Working knowledge of one or more tools such as Python, VBA, SQL, Excel automation, SharePoint, Power BI, Power Automate, APIs, database tools, reporting platforms, or similar automation and data solutions.
- Ability to understand technical workflows, structure data, document processes, troubleshoot issues, and communicate information clearly to both technical and non-technical users.
- Strong communication, problem-solving, organization, collaboration, project coordination, and continuous improvement skills.
Other TOOLS that are nice to have:
- Familiarity with metrology or inspection software such as PC-DMIS, PolyWorks, Zeiss Inspect, Calypso, Geomagic, DataLoop, or similar platforms.
- Experience integrating data across metrology platforms, lab systems, quality systems, manufacturing systems, enterprise tools, databases, APIs, cloud services, or IT-supported software environments.
- Experience applying AI-enabled tools, copilots, agents, bots, or low-code automation to engineering, quality, lab, or manufacturing workflows.
- Experience with CAD-based inspection workflows, GD&T interpretation, measurement validation, MSA, Gage R&R, capability studies, or quality management system requirements.
- Background supporting digital transformation, automated reporting, dashboard development, software implementation, user training, technical documentation, or systems integration projects in a lab, engineering, quality, manufacturing, or supplier environment.
Milwaukee Tool is an equal opportunity employer.
See All 37 Data Analytics Engineer Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring
- Kohl's4

- CliftonLarsonAllen2

- Milwaukee Tool2

- Paradigm2

- AbbVie1

Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services6
- Manufacturing5
- Accounting & Auditing3
- Retail3
What Wisconsin Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Wisconsin.
- Proficiency in SQL and at least one analytical language such as Python
- Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift
- Hands-on experience building and maintaining dbt models in production
- Familiarity with orchestration tools such as Airflow, Prefect, or Dagster
- Bachelor's degree in computer science, statistics, engineering, or a related field
- Ability to translate business questions into dimensional data models and schemas
Data Analytics Engineer Jobs in Wisconsin: Frequently Asked Questions
How many data analytics engineer jobs are there in Wisconsin?
There are 37+ data analytics engineer openings in Wisconsin on Migrate Mate as of June 2026, with the most roles in Madison, Milwaukee, and Menomonee Falls. New positions post regularly as employers across Wisconsin hire.
How much do data analytics engineers make in Wisconsin?
Data analytics engineers in Wisconsin earn a median of about $106,680 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,300 for the lowest 10% to over $168,810 for the top 10%. Pay rises with experience, specialty, and employer.
Which Wisconsin cities have the most data analytics engineer jobs?
Madison, Milwaukee, and Menomonee Falls have the most data analytics engineer openings in Wisconsin right now, with additional roles spread across smaller metros statewide.
Which companies hire data analytics engineers in Wisconsin?
Employers hiring data analytics engineers in Wisconsin include Kohl's, CliftonLarsonAllen, and Milwaukee Tool, based on current listings on Migrate Mate as of June 2026.
Are there remote data analytics engineer jobs in Wisconsin?
Yes. About 30% of data analytics engineer openings tied to Wisconsin are remote or hybrid as of June 2026. The rest are on-site roles based in Wisconsin metros.
How do I apply for data analytics engineer jobs in Wisconsin?
You can apply to data analytics engineer jobs in Wisconsin directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Wisconsin location, then apply to each one that fits.
See All 37 Data Analytics Engineer Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs