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Analytics Engineer Jobs in Milwaukee, WI (NOW HIRING)

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

Partner with engineering, lab operations, IT, analytics, and business stakeholders to understand data needs and translate them into technical solutions. * Establish and maintain data quality checks ...

New

Pwc

NGA AI Engineer 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 ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

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 ...

Ra

Marketing Analytics Manager

Milwaukee, WI

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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 ...

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Showing results 21-40

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.

Sr Data Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

$114K - $138K/yr

Full-time

Posted yesterday

New

Job description

Job Description:

Come beDISRUPTIVEwith us!At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to create innovative new solutions on our engineering team. As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable faster, more reliable decision-making across engineering, test lab, and product development operations. You will partner with cross-functional teams to transform raw data into trusted, governed, analytics-ready data products through modern data pipelines, cloud platforms, data modeling, and data quality practices.

Duties and Responsibilities

  • aDesign, develop, and maintain scalable data pipelines, data models, and data integration solutions that support engineering and test operations.

  • Build reliable ETL/ELT processes to ingest, transform, validate, and deliver data from multiple source systems into analytics-ready environments.

  • Partner with engineering, lab operations, IT, analytics, and business stakeholders to understand data needs and translate them into technical solutions.

  • Establish and maintain data quality checks, validation rules, and monitoring processes to ensure trusted and accurate data.

  • Develop and optimize data warehouses, data lakes, and cloud-based data platforms for performance, reliability, and scalability.

  • Create reusable data assets, curated datasets, and documentation that enable self-service reporting, analytics, and operational visibility.

  • Collaborate with software developers and IT teams on secure data architecture, system integrations, source control, deployment, and development best practices.

  • Translate business strategy and operational needs into technical data solutions that improve efficiency, quality, and speed of decision-making.

  • Monitor pipeline performance, troubleshoot production issues, and proactively improve data reliability, observability, and maintainability.

  • Mentor team members on data engineering standards, coding practices, documentation, and data governance principles.

  • Adhere to timelines and excel in a fast-paced, high-energy environment while balancing technical excellence with practical business impact.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field; equivalent experience may be considered.

  • 5+ years of experience in data engineering, software engineering, analytics engineering, or related technical roles.

  • Strong proficiency in SQL and at least one programming language such as Python, C#, Java, or Scala.

  • Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational databases, and cloud-based data platforms.

  • Experience working in cloud environments such as Azure or AWS, including data storage, compute, orchestration, and security concepts.

  • Working knowledge of data modeling, database design, data integration patterns, APIs, and scalable system architecture.

  • Familiarity with modern data engineering tools and practices such as Spark, Databricks, Airflow,dbt,Fabric, or automated testing.

  • Strong understanding of data quality, data governance, data security, documentation, and operational monitoring practices.

  • Ability to understand complex business processes, create process maps, and translate operational workflows into data solutions.

  • Strong analytical, problem-solving, and communication skills with the ability to influence technical decisions across cross-functional teams.

Milwaukee Tool is an equal opportunity employer.

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