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Bi Engineer Jobs in Wisconsin (NOW HIRING)

$109K - $144K/yr

Lead AI Engineer, Agentic Data Lineage Location: Montreal, Canada Work Type: Hybrid min 3 days work ... and BI platforms, normalizing them into a common lineage model. * Build a multi-agent system in ...

Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions, resolve data gaps, and improve pipeline robustness. * Reporting and Data Management * Maintain and ...

Supply Chain Engineer Location: Racine, Wisconsin Job Summary The Supply Chain Engineer is ... Advanced Excel and Power BI skills * Experience with SAP and Salesforce * Supplier negotiation and ...

Software Engineer AI/ML

Waukesha, WI

$114K - $137K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production ... Collaborate with BI team to embed AI features into existing applications that enable natural ...

New

Data Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

... into BI applications, and providing technical support and training. The Data Engineer works ... directly with customers to deliver end-to-end data solutions, provides on-call support, and ...

Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions, resolve data gaps, and improve pipeline robustness. Reporting and Data Management * Maintain and ...

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Bi Engineer information

See Wisconsin salary details

$39.4K

$102.7K

$138.8K

How much do bi engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for bi engineer in Wisconsin is $102,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $117,600.00 per year, depending on experience, location, and employer.

Is BI a good career?

A Business Intelligence (BI) Engineer is responsible for designing and implementing data solutions to support decision-making. The role typically requires skills in data analysis, SQL, and BI tools like Tableau or Power BI, and offers opportunities for growth in data-driven industries. It is considered a stable and in-demand career path with competitive salaries and evolving technology stacks.

What are BI Engineers?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

What does a BI engineer do?

A BI (Business Intelligence) engineer designs, develops, and maintains data systems and dashboards to help organizations analyze and visualize data for decision-making. They work with tools like SQL, data warehouses, and visualization platforms, often requiring strong analytical skills and knowledge of data modeling. BI engineers ensure data accuracy and accessibility for business insights.

What are the key skills and qualifications needed to thrive as a BI Engineer, and why are they important?

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

What engineers make $500,000?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership responsibilities or specialized certifications.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) engineer in the US ranges from $80,000 to $120,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $130,000. Certifications and proficiency in data analysis and visualization are also factors that influence compensation.

How does a BI Engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.
What cities in Wisconsin are hiring for Bi Engineer jobs? Cities in Wisconsin with the most Bi Engineer job openings:

Sales Operations - Business Intelligence Engineer II

Milwaukee Tool

Milwaukee, WI โ€ข On-site

$50.25 - $65.25/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Job Description:

INNOVATE without boundaries!

At Milwaukee Tool, we believe our People and our Culture are the keys to our success - so we give you the tools and support to make a real impact.

Inside our doors, you will be empowered to build, collaborate, and evolve as part of a fast-paced team that is redefining how data drives decisions across the business.

Your Role on Our Team:

As a Business Intelligence Engineer, you will help design and deliver solutions that enable smarter, faster decisions across functions. You will work closely with business partners to understand analytical needs and contribute to building trusted data assets, reports, and dashboards. You will deepen your technical skill set while growing your understanding of the business and refining how you communicate insights.

You'll be DISRUPTIVE through these duties and responsibilities:

  • Leverage AI Solutions: Leverage AI-powered features, such as natural language queries, automated insights and prompts, in BI platforms to accelerate report creation and deliver actionable business insights.
  • Dashboard Development: Build reports and dashboards in Power BI, Databricks and similar tools, that provide operational visibility and provide data-driven business decisions.
  • Collaborative Requirements Gathering: Collaborate with stakeholders to gather and clarify reporting and data needs that align with strategic goals and objectives.
  • Agile Project Execution: Participate in sprint planning, estimation, reviews, and retrospectives. Break down work into manageable deliverables aligned with business priorities.
  • Stakeholder Communication: Communicate insights, progress, and blockers clearly and regularly with cross-functional partners.
  • Data Governance & Security: Follow best practices for role-based access, data privacy, and report-level security.
  • Modeling Support: Contribute to the design of semantic models and datasets that are performant, reusable, and easy to understand.
  • Documentation: Help maintain documentation for models, metrics definitions, and reporting processes to ensure shared understanding.
  • Self-Service Support: Assist in enabling business users through clear documentation, curated datasets, and support for self-service reporting environments.
  • Troubleshooting: Debug and resolve issues or data inconsistencies using structured investigation.
  • Continuous Learning: Actively grow your BI tool expertise and share learnings with the team and cross-functional partners.

The TOOLS you'll bring with you:

  • Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience).
  • Years of Experience: 3+ years of experience in BI development, data analytics, or data visualization roles.
  • BI Tool Expertise: Hands-on experience with Power BI, Tableau, or Looker. Able to build interactive dashboards and maintain datasets.
  • SQL: Working knowledge of SQL (joins, filters, aggregations, basic CTEs).
  • Data Modeling: Familiarity with dimensional modeling (star/snowflake schema) and semantic layers.
  • Cloud & Data Platforms: Experience with cloud environments such as Azure, Snowflake, or Databricks for data transformation and modeling.
  • Agile Experience: Experience working within Agile development processes, including participating in sprint planning, reviews, and backlog grooming.
  • Storytelling & Insight Delivery: Ability to interpret trends and communicate basic insights to stakeholders.
  • Business Acumen: Demonstrates a growing understanding of business processes and how analytics influence decisions.

Other TOOLS we prefer you to have:

  • Experience with Azure DevOps: Familiarity with Azure DevOps for managing workflows, integrating with Power BI, and streamlining project pipelines.
  • Version Control - Git: Exposure to using Git for source control, versioning, and collaboration on BI or analytics assets.
  • Knowledge of Power Automate: Ability to use Power Automate to enhance reporting processes by automating repetitive tasks and improving data workflows within the Microsoft ecosystem.
  • Data Governance Tools: Familiarity with tools like Databricks Unity Catalog or Azure Purview for managing data governance, lineage, and quality across the organization's data assets.
  • Custom Visuals in Power BI: Experience creating or implementing custom visuals in Power BI to deliver more tailored and impactful reports.

Working Conditions:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace.
  • Sitting for prolonged periods of time
  • Prolonged exposure to computer screens
  • Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools.
  • Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
  • May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection.
  • May work in laboratories and/or controlled, enclosed, restricted areas.
  • Noise levels range from moderate to loud.
  • Must be able to lift up to 50 pounds at a time.
  • May require travel dependent on company needs.

We provide these great perks and benefits:

  • Robust health, dental and vision insurance plans
  • Generous 401 (K) savings plan
  • Education assistance
  • On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.