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Remote Analytics Engineer Jobs in Wisconsin (NOW HIRING)

Simulation Engineer

Wauwatosa, WI ยท On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Success in this position comes to those who enjoy solving sophisticated problems, analyzing data ...

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Structural Engineer

Janesville, WI ยท On-site +1

$100K - $149K/yr

Hybrid or remote work arrangement will be considered. While our headquarters is located in ... Analyze structures for static and dynamic loads, including seismic, wind, tornado, and impact ...

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Perform EMC analyses and interpret unit-level EMC test reports * Review communication Payload RF ...

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Provide input to antenna scattering analyses and review results * Support systems engineering ...

Sr Software Engineer

Appleton, WI ยท Remote

$116K - $153K/yr

Java AND OpenShift AND Github (Devops mindset) AND Analytical/Problem Solving/Collaborative ... Can sit fully remote Needs to be back end focused Spring/Springboot with OpenShift Basic ...

Senior Data Engineer (Remote)

Menomonee Falls, WI ยท Remote

$123K - $162K/yr

About the Role As Senior Software Engineer, you will collaborate closely with design, product and ... Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization ...

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Remote Analytics Engineer information

See Wisconsin salary details

$45.9K

$94.1K

$136.8K

How much do remote analytics engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote analytics engineer in Wisconsin is $94,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $119,100.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the most commonly searched types of Analytics Engineer jobs in Wisconsin? The most popular types of Analytics Engineer jobs in Wisconsin are:
What are popular job titles related to Remote Analytics Engineer jobs in Wisconsin? For Remote Analytics Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Wisconsin look for? The top searched job categories for Remote Analytics Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Analytics Engineer jobs? Cities in Wisconsin with the most Remote Analytics Engineer job openings:

Simulation Engineer

Kiongroup

Wauwatosa, WI โ€ข On-site, Remote

$65K - $140K/yr

Full-time

Posted 12 days ago


Job description

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano (TX), or Milwaukee (WI)-offering a hybrid schedule blending on-site collaboration and remote work. This role involves building and evaluating simulation models that contribute to the invention of automated and material-handling systems before they are implemented. You'll convert data into relevant insights, support project and customer decisions, and assist in delivering solutions that improve both performance and reliability. Success in this position comes to those who enjoy solving sophisticated problems, analyzing data, and partnering across teams to produce practical, high-impact outcomes.
We are unable to support Visa sponsorship or transfer for this role.We offer:What We Offer:
  • Career Development

  • Competitive Compensation and Benefits

  • Pay Transparency

  • Global Opportunities


Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:What You Will Do in This Role:
  • Develop discrete-event simulation models to evaluate the performance of material-handling and automated systems.

  • Support pre-sales and delivery activities by crafting low- to high-fidelity simulation models and conducting performance analysis.

  • Collaborate with engineering, sales, project management, and other partners to define requirements, scope, and timelines.

  • Collect, validate, and analyze data while detailing model assumptions and functional specifications.

  • Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

  • Interpret simulation outputs and clearly communicate results to internal teams and customers.

  • Contribute to customer-facing presentations and technical reviews to support solution recommendations.

  • Deliver assigned tasks on schedule, meeting quality and budget expectations.

  • Explain technical concepts in a clear and accessible way for both technical and non-technical audiences.

  • Exercise good judgment when working with customer, confidential, or proprietary information.

  • Support continuous improvement of simulation tools, standards, processes, and methodologies.

What We're Looking For:
  • Solid understanding of discrete-event simulation concepts, methods, and standard processes.

  • Ability to apply statistical and quantitative analysis to simulation problems.

  • Experience with material-handling systems, logistics, or automated solutions (preferred).

  • Proficiency in at least one structured programming language (e.g., Python).

  • Experience with simulation tools such as Plant Simulation (AutoMod experience is a plus).

  • Familiarity with AutoCAD or 3D modeling tools is helpful.

  • Demonstrated ability to learn new tools, technologies, and methods.

  • Strong understanding of simulation modeling principles and approaches.

  • Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.

  • Proven experience in simulation model development, system modeling, or performance analysis.

  • Typical experience range: 2-5+ years, depending on role level and validated capability.

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