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Data Analytics Engineer Jobs in Wisconsin (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Identify the data-analytics problems that offer the greatest opportunities to the organization Qualifications: * Bachelor's degree in Programming, Production Engineering or Industrial Engineering ...

Identify the data-analytics problems that offerthe greatest opportunitiesto the organization Qualifications: * Bachelor's degree in Programming, Production Engineering or Industrial Engineering with ...

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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 Jul 14, 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
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:
Senior Manager, Data Analytics

Senior Manager, Data Analytics

Rockwell Automation

Milwaukee, WI

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Rockwell Automation rating

8.0

Company rating: 8.0 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

150th of 430 rated machine equipment manufacturers


Job description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility -our people are energized problem solvers that take pride in how thework we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!

Job Description

The Senior Manager, Data Analytics leads the global Supply Chain analytics function to deliver trusted KPI reporting, executive insights, and AIenabled decision support across the endtoend supply chain. This role blends people leadership, handson analytics expertise, and strategic influence-owning the analytics roadmap and ongoing prioritization, building scalable Power BI and Power Platform solutions, and partnering closely with Supply Chain leaders and IT to turn data into insight, action, and value.

You will work a hybrid schedule at our facility in Milwaukee, WI and report to the Senior Director, Digital Transformation.

Your Responsibilities:
  • Own the analytics portfolio: Define and maintain the analytics roadmap, manage global demand intake and prioritization, and deliver a focused set of highvalue dashboards and analyses aligned to Supply Chain priorities.
  • Executive partnership & influence: Translate VP and Directorlevel business needs into clear, actionable outcomes; act as a trusted analytics advisor to senior Supply Chain leaders.
  • Deliver executiveready insights: Produce clear KPI narratives and decision materials for operating rhythms (e.g., weekly and monthly performance reviews), translating complex data into actionable insights.
  • Global supply chain performance analytics: Drive visibility and analysis across supply chain domains (service, inventory, demand/supply performance, logistics and distribution), including rootcause and variance analysis.
  • Standardize KPIs and governance: Establish and maintain KPI definitions, data quality controls, refresh reliability, and documentation to ensure consistent and trusted global reporting.
  • Scale Power BI and selfservice analytics: Lead development of Power BI semantic models, dashboards, and reporting standards; enable selfservice through templates, training, and governance.
  • Partner on modern data platforms: Work closely with IT and data engineering teams to translate analytics requirements into curated, analyticsready datasets using modern data platforms (e.g., Databricks).
  • Apply AI to analytics (practical, businessfirst): Identify and implement AIenabled analytics capabilities such as anomaly detection, intelligent alerts, automated insight generation, and guided rootcause exploration, focused on measurable business impact.
  • Govern data, BI and AI usage: Develop and maintain data and analytics governance practices across ISC, including appropriate use of AI within analytics workflows.
  • Lead and develop talent: Lead, coach, and develop a highperforming global team of analysts and BI developers; own performance management, capability building, and engagement.
  • Drive adoption and value realization: Influence across functions to ensure analytics products are adopted, understood, and delivering tangible business value; reduce manual reporting through automation and rationalization.
The Essentials - You Will Have:
  • Bachelor's Degree or Equivalent Years of Relevant Work Experience.
  • Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
The Preferred - You Might Also Have:
  • Typically requires a minimum of 8 years management experience.
  • Bachelor's degree in engineering, data science, or businessrelated field.
  • 8+ years of experience in data analytics, BI, or datadriven roles with progressive responsibility, including people leadership.
  • Strong experience building and operationalizing Power BI dashboards, metrics, and reporting for business stakeholders.
  • Working knowledge of modern data environments and transformations (e.g., SQLbased data preparation, curated datasets, data pipelines), including exposure to platforms such as Databricks.
  • Proven ability to communicate complex data insights clearly and influence decisions with stakeholders at multiple levels.
  • Supply Chain analytics experience (planning, inventory, sourcing, logistics, distribution, costtoserve, etc.).
  • Experience enabling selfservice analytics and/or standard KPI frameworks across global organizations.
  • Familiarity with Microsoft Power Platform beyond Power BI (Power Apps and Power Automate) to streamline analytics workflows.
  • Experience leveraging AI capabilities in data analytics, such as AIassisted insight generation, anomaly detection, intelligent alerts, automated narrative summaries, or similar applied AI use cases.
What We Offer:
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

This position is part of a job family. Experience will be the determining factor for position level and compensation.

#LI-Hybrid

#LI-JF1

#LifeAtRok

We are an Equal Opportunity Employer including disability and veterans.

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.

Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.


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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

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