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Data Analytics Engineer Jobs in Wisconsin (NOW HIRING)

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site

Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery. * Keep abreast of the ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site +1

Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery. * Keep abreast of the ...

SysLogic, Inc.

WI · On-site

Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery. * Keep abreast of the ...

SysTechCorp Inc

WI · On-site

Cloud Spend Analytics + LLM Cost Telemetry We are looking for a FinOps Analytics Engineer / Data Analyst / Visualization professional who can own both cloud spend and allocation analytics and LLM ...

New

Telia Company

WI · On-site

$110K - $132K/yr

We're looking for an experienced Data Engineer - MarTech to join the Data & Analytics team at Telia. Are you an experienced data engineer who enjoys working close to the business and seeing your ...

Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

The IT Manager, Data & Analytics owns and governs Komatsu's enterprise data and analytics platforms, including Palantir Foundry, Microsoft Power BI, Azure Synapse, and associated data engineering ...

ULINE

BI Analytics Engineer

Pleasant Prairie, WI · On-site

$49.50 - $64.25/hr

As a BI Analytics Engineer at Uline, you'll turn data into insights that drive decisions across the business. Partner with teams across the company to design dashboards, shape reporting and build ...

Uline

BI Analytics Engineer

Pleasant Prairie, WI · On-site

$48.50 - $63/hr

As a BI Analytics Engineer at Uline, you'll turn data into insights that drive decisions across the business. Partner with teams across the company to design dashboards, shape reporting and build ...

ULINE

BI Analytics Engineer

Kenosha, WI · On-site

$49.75 - $64.75/hr

As a BI Analytics Engineer at Uline, you'll turn data into insights that drive decisions across the business. Partner with teams across the company to design dashboards, shape reporting and build ...

ULINE

BI Analytics Engineer

Pleasant Prairie, WI · On-site

$49.50 - $64.25/hr

As a BI Analytics Engineer at Uline, you'll turn data into insights that drive decisions across the business. Partner with teams across the company to design dashboards, shape reporting and build ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Wisconsin

Data Analytics Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data analytics engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data analytics engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Wisconsin?

The most popular types of Data Analytics Engineer jobs in Wisconsin are:

What are popular job titles related to Data Analytics Engineer jobs in Wisconsin?

For Data Analytics Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Wisconsin look for?

The top searched job categories for Data Analytics Engineer jobs in Wisconsin are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Wisconsin as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Associate Analytics Engineer

Kenosha, WI

Jockey International, Inc.
Retail • 1 - 5K employees
Learn more about Jockey International, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New

Job description

At Jockey, caring is our responsibility. It’s the fabric of who we are and drives everything we do. It drives us to listen, innovate, and improve. To design thoughtfully. To craft skillfully. To give back wholeheartedly. Founded in 1876, Jockey is a family-owned company recognized the world over for delivering feel-good comfort. Our premium apparel is sold in more than 140 countries and our commitment to quality, innovation, and customer service is legendary.

We believe that extraordinary service comes from the heart and is delivered by extraordinary individuals! Is that you?

Jockey is seeking an Associate Analytics Engineer to join our Enterprise Analytics Team!

The Associate Analytics Engineer provides clean data sets to end users, modeling data that enables end users to answer their data questions. This role is responsible for transforming, testing, deploying, and documenting data within the data lake. The engineer will apply software engineering best practices such as version control and continuous integration to the analytics code base. This role is expected to collaborate with business users, analysts, and other engineering resources to build out enhanced data capabilities that drive improved business outcomes.

JOB EXPECTATIONS

  • Work within data science, core platform engineering, to develop data pipelines in SQL and python that acquire, process, and deliver data to end users across Jockey.
  • Build and maintain dashboards, reporting, and self-service analytical tools using platforms such as Tableau or Sigma
  • Collaborate with different stakeholders, such as, data scientists, ML engineers, analysts, and business users to understand data use cases and requirements.
  • Ensure data quality, integrity, and consistency across reporting and analytical environments
  • Expand our data warehouse with clean data, ready for analysis or downstream ML use cases.
  • Optimize SQL queries to ensure optimal performance and adherence to data governance and quality standards.
  • Translate business requirements into technical specifications.
  • Continuously learn and apply new analytical tools, technologies, and business knowledge
  • Support ongoing improvements to reporting processes, analytical capabilities, and data architecture
  • Other job duties as assigned

 

QUALIFICATIONS

REQUIRED:

  • Internship, academic project, or professional experience involving data analysis, business intelligence, or analytics
  • Working knowledge of SQL and experience querying and analyzing data
  • Experience building dashboards and visualizations using tools such as Tableau, Sigma, Power BI or similar platforms
  • Strong analytical skills and an active problem solver
  • Demonstrated attention to detail and commitment to data accuracy
  • Ability to learn quickly and manage multiple priorities in a fast-paced environment

PREFERRED:

  • Bachelor's degree in Data Analytics, Business Administration, Supply Chain, Economics, Finance, Statistics, Information Systems or a related quantitative field
  • Exposure to dbt or other modern data transformation frameworks
  • Exposure to cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies
  • Experience with data modeling, reporting, or statistical analysis through coursework, internships, or prior work experience
  • Experience working with supply chain, retail, apparel, consumer goods, or manufacturing data

In return for your expertise, JOCKEY offers a competitive and comprehensive flexible benefits package which includes Medical/Dental/Life/Vision, 401(k), educational support, paid Volunteerism program, fitness club discounts, onsite health & wellness programs, generous employee discounts, a business casual work environment, a challenging work environment and exciting career growth opportunities!

Apply