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Analytics Engineer Jobs in Milwaukee, WI (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Milwaukee, WI

$99K - $232K/yr

These individuals analyse client needs, implement software solutions, and provide training and ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

Relevant Engineering

Electrical Engineer

Milwaukee, WI · Hybrid

$90K - $120K/yr

Strong problem-solving and strong analytical skills. * Ability to work independently and manage multiple priorities. Key Responsibilities: Power Systems Engineering: * Perform power system studies ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Analytics and Platform Analyst will play an important role in driving data-driven ... Collaboration with cross-functional teams in manufacturing, Engineering ops, Marketing & sales ...

Pwc

CTIO AI Engineering Manager

Milwaukee, WI

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The role partners closely with Analytics, Information Security, Software Development, Product developers, and executive leadership to align architectural decisions with enterprise strategy and client ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The role partners closely with Analytics, Information Security, Software Development, Product developers, and executive leadership to align architectural decisions with enterprise strategy and client ...

Sterling Engineering Inc.

Quality Engineer

Franklin, WI

$100K - $118K/yr

Quality Engineer Location: Franklin, WI Compensation: $100,000 - $118,000 + Benefits Employment ... Lead root cause analysis and corrective/preventive actions (CAPA) for internal and external quality ...

Foxconn WI

Debug Technician

Mount Pleasant, WI

$22 - $26/hr

Work closely with Failure Analysis Engineer (FAE) for PCAs troubleshooting and provide root-cause diagnostic feedback. * Hands on soldering skills for component replacement. * Know and able to read ...

Foxconn WI

Debug Technician

Mount Pleasant, WI

Work closely with Failure Analysis Engineer (FAE) for PCAs troubleshooting and provide root-cause diagnostic feedback. * Hands on soldering skills for component replacement. * Know and able to read ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 1+ ...

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Showing results 41-60

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Milwaukee, WI

Analytics Engineer information

See Milwaukee, WI salary details

$61K

$106.5K

$173.7K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Milwaukee, WI is $106,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,518.00 and $119,520.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Milwaukee, WI? The most popular types of Analytics Engineer jobs in Milwaukee, WI are:
What are popular job titles related to Analytics Engineer jobs in Milwaukee, WI? For Analytics Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Milwaukee, WI look for? The top searched job categories for Analytics Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Analytics Engineer jobs? Cities near Milwaukee, WI with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $106,481 per year, or $51.2 per hour.

Senior Manager, Data Analytics

Rockwell Automation, Inc.

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

197th of 487 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 the work 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 AI-enabled decision support across the end-to-end supply chain. This role blends people leadership, hands-on 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 high-value dashboards and analyses aligned to Supply Chain priorities.
  • Executive partnership & influence: Translate VP- and Director-level business needs into clear, actionable outcomes; act as a trusted analytics advisor to senior Supply Chain leaders.
  • Deliver executive-ready 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 root-cause 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 self-service analytics: Lead development of Power BI semantic models, dashboards, and reporting standards; enable self-service through templates, training, and governance.
  • Partner on modern data platforms: Work closely with IT and data engineering teams to translate analytics requirements into curated, analytics-ready datasets using modern data platforms (e.g., Databricks).
  • Apply AI to analytics (practical, business-first): Identify and implement AI-enabled analytics capabilities such as anomaly detection, intelligent alerts, automated insight generation, and guided root-cause 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 high-performing 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 business-related field.
  • 8+ years of experience in data analytics, BI, or data-driven 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., SQL-based 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, cost-to-serve, etc.).
  • Experience enabling self-service 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 AI-assisted 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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