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Data Analytics Engineer Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

BI Analytics Engineer

Milwaukee, WI · On-site

$50.25 - $65.25/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 ...

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 ...

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 ...

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data ...

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 ...

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Showing results 1-20

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 Jun 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.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, 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 stock options or bonuses.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 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:
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:
IT Manager, Data & Analytics

IT Manager, Data & Analytics

Komatsu

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Komatsu rating

8.5

Company rating: 8.5 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

59th of 418 rated machine equipment manufacturers


Job description

IT Manager, Data & Analytics
Posting Start Date: 3/19/26
Job Location (Short): Milwaukee, Wisconsin, USA, 53204-2941 | Chicago, Illinois, USA, 60631
Requisition ID: 35392
Onsite or Remote: Onsite Position
Join Komatsu and Be Part of Something Big!
Job Overview
Komatsu is committed to leveraging data and analytics, business intelligence, and emerging technologies to fuel business growth and corporate resilience. The IT Manager, Data & Analytics will be instrumental in leading the execution of business driven and IT enabled solutions to foster organizational growth and value expansion. Working within the Komatsu Americas Corporate IT group, this role will serve as a critical partner to various business segments and business functions, enabling stakeholders to harness the power of data-driven solutions and emerging technologies while continuously evolving data literacy, data management, and data governance practices. We are seeking a leader with proven expertise in business intelligence, data analytics, master data management and master data governance, and technology innovation, combined with strong business acumen to ensure solutions enable tangible business impact.
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 frameworks. This role ensures platform scalability, security, cost optimization, and business adoption while advancing enterprise data architecture standards and analytics maturity. This individual will lead a team to deliver data-driven insights and solutions that enable business growth and operational excellence. This role will collaborate with business and IT leaders across the organization to understand their needs and challenges, and to leverage data, emerging technologies, and best practices to create competitive advantages and drive business growth for Komatsu.
Key Job Responsibilities
• Develops and executes data, business intelligence, and technology innovation roadmaps, ensuring alignment with business priorities and overall data strategy.
• Manages and leads a team of data analysts, engineers, business intelligence specialists, and innovation experts to deliver high-quality, data-driven solutions, while overseeing ongoing support.
• Advises business leaders by providing strategic direction on analytics, business intelligence, and technology innovation, identifying opportunities and proposing data-driven solutions.
• Establishes and evolves data management and governance policies, standards, and procedures, ensuring data quality, security, and compliance through technical leadership.
• Oversee the design, implementation, and maintenance of the MDM platform and framework, ensuring data consistency, integrity, and security.
• Plans, manages, and ensures the successful execution and on-time delivery of data analytics and business intelligence projects, driving business value and insights.
• Leads the strategy and execution of the technology innovation program, implementing methodologies and pilot projects to drive digital transformation and emerging value realization.
• Collaborates with business and IT stakeholders to understand data requirements, challenges, and opportunities, providing strategic guidance and best practices.
• Oversee and manage operational and project-based IT budgets, ensuring measurable value delivery.
• Continuously optimizes and manages the financials of the enterprise data platform, ensuring cost efficiency, scalability, and value realization.
• Owns and governs enterprise data and analytics platforms (Palantir, Power BI, Azure Synapse), ensuring scalability, reliability, cost efficiency, security, and business adoption.
• Engages and manages external vendors and partners for project proposals, execution, and support, ensuring accountability and financial stewardship.
• Collaborates cross-functionally with global and local business teams and IT teams, resolving dependencies, ensuring seamless project execution, and maintaining alignment with strategic objectives.
• Defines and enforces enterprise data architecture standards, including integration patterns, semantic models, data modeling standards, and DataOps best practices.
• Inspires and leads a highly engaged, collaborative team with a balanced mix of IT expertise and business acumen.
Qualifications/Requirements
• 10+ years of experience in Data & Analytics roles, with expertise in enterprise data management, MDM, and governance.
• 3+ years' experience leading data engineering, analytics, and business intelligence teams.
• Deep expertise in enterprise analytics platforms such as Palantir Foundry, Microsoft Power BI, Azure Synapse, and modern Azure data services (Data Factory, SQL, Fabric preferred).
• Expertise in MDM platforms, data governance frameworks, and regulatory compliance.
• Strong background in cloud-based data platforms (Azure Synapse, SQLDB, Power BI, Palantir, or equivalent technologies).
• Experience with ETL processes, data warehousing, and data modeling best practices.
• Drives adoption of advanced analytics, AI/ML, and automation capabilities within the enterprise data platform to enable predictive and prescriptive insights.
• Excellent stakeholder management, leadership, and strategic planning skills.
• Establishes KPIs and value measurement frameworks to ensure analytics initiatives deliver measurable business outcomes.
• Strong understanding of DevOps for data, CI/CD pipelines, and automation tools.
• Travel Requirements: Up to 20%
Additional Information
Hiring Range
At Komatsu, your base pay is one part of your total compensation package. This role pays $$160,000-$170,000. The actual offer will consider a wide range of factors, including experience and location.
Company Benefits
Komatsu provides an extensive and robust employee benefits package that is designed to enhance the well-being of our employees and family members. We embrace a positive and empowering employee experience with a culture that prides itself on a diverse and inclusive environment.
  • Health benefits: Medical, dental, vision, HSA, wellness programs, etc.
  • 401k and/or employee savings programs
  • Employee time off (vacation and designated holidays)
  • Employee and family assistance programs
  • Disability benefits
  • Life insurance
  • Employee learning and development programs

Diversity & Inclusion Commitment
At Komatsu, we come from diverse backgrounds, with unique perspectives, experiences and contributions. We believe that our people are part of our shared purpose. Connected by our core values of ambition, perseverance, collaboration and authenticity, we are committed to continually advancing in our support of diversity and inclusion. United, we are on a journey towards a sustainable future that creates value together.
Company Information
Komatsu develops and supplies technologies, equipment and services for the construction, mining, forklift, industrial and forestry markets. Headquartered in Tokyo, Japan, Komatsu employs more than 64,000 people worldwide, operating in more than 140 countries. For more than a century, the company has been creating value for its customers through manufacturing and technology innovation, partnering with others to empower a sustainable future where people, business and the planet thrive together. Since the company's founding in 1921, Komatsu has been committed to supporting individuals and communities through job training, skills development and giving back. As a Komatsu employee, you will be encouraged to grow alongside our global company, contributing to a more sustainable future for all. If you are looking for a company that values your talent and potential, join Komatsu to be a part of something big and help advance modern society. Learn more at www.komatsu.com.
EEO Statement
Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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