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Business Intelligence Developer Jobs in Wisconsin

Sanoma

Business Intelligence Analyst

Belgium, WI

Business teams ondersteunt in projecten en besluitvorming * Meebouwt aan de verdere professionalisering van processen, data infrastructuur en het dataplatform * Data literacy binnen de organisatie ...

CenterWell

Senior BI Engineer

Madison, WI · On-site

$105K - $144K/yr

The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

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How much do business intelligence developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for business intelligence developer in Wisconsin is $54.29, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.12 per hour, depending on experience, location, and employer.

What is the average salary for a business intelligence developer?

The average salary for a business intelligence developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, data visualization tools, and experience with platforms like Tableau or Power BI tend to earn higher salaries.

What are Business Intelligence Developers?

Business Intelligence Developers are IT professionals who design, develop, and maintain BI solutions that help organizations make data-driven decisions. They create and manage data models, dashboards, and reports using BI tools, and often work with databases to extract, transform, and load data. Their work enables businesses to analyze trends, monitor performance, and gain actionable insights from large volumes of data. BI Developers collaborate closely with business stakeholders and data analysts to ensure the solutions meet organizational needs.

What are some common challenges faced by Business Intelligence Developers when working with large datasets, and how can they be addressed?

Business Intelligence Developers often encounter difficulties when handling large and complex datasets, such as slow query performance, data integration issues, and ensuring data accuracy. To address these challenges, developers typically optimize SQL queries, leverage indexing, and use efficient data modeling techniques. Collaborating closely with data engineers and database administrators can help streamline data pipelines and maintain data quality. Staying updated with the latest BI tools and technologies is also essential for improving overall performance and scalability.

What is the role of a business intelligence developer?

A business intelligence developer designs, develops, and maintains data analysis tools and dashboards to help organizations make data-driven decisions. They work with databases, data warehouses, and BI tools like Tableau or Power BI, and often require skills in SQL, data modeling, and analytics. Their role involves transforming raw data into actionable insights to support strategic planning and operational efficiency.

What are the key skills and qualifications needed to thrive as a Business Intelligence Developer, and why are they important?

To thrive as a Business Intelligence Developer, you need strong analytical skills, proficiency in data modeling, and experience with databases, often supported by a degree in computer science, information systems, or a related field. Expertise in BI tools such as Power BI, Tableau, or SQL Server Reporting Services (SSRS), along with knowledge of SQL and ETL processes, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for transforming complex data into actionable insights that drive strategic business decisions.

What is the difference between Business Intelligence Developer vs Data Analyst?

AspectBusiness Intelligence DeveloperData Analyst
CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Math, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDevelops BI tools, dashboards, and reports; collaborates with IT and business teamsAnalyzes data sets, creates reports, and provides insights; works closely with business units
Industry UsageUsed across industries for data visualization and reportingUsed across industries for data analysis and decision support

While both roles focus on data, Business Intelligence Developers primarily build and maintain BI tools and dashboards, whereas Data Analysts focus on analyzing data sets to generate insights. Both roles often collaborate and require similar skills and certifications, making them closely related in the data industry.

What is the salary of business intelligence engineer?

The salary of a Business Intelligence Engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and company size. In large financial institutions, salaries may be higher, especially for those with expertise in tools like SQL, Tableau, or Power BI and relevant certifications.

How to be a business intelligence developer?

To become a business intelligence developer, you should gain proficiency in data analysis, SQL, and BI tools like Tableau or Power BI. A strong foundation in database management, programming skills such as Python or R, and understanding of data warehousing are also important, along with relevant certifications and experience in data visualization and reporting. Continuous learning of industry trends and tools enhances career prospects in this field.
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Business Intelligence Developer jobs near you
Business Intelligence Analyst at Kenosha, Wisconsin

Business Intelligence Analyst at Kenosha, Wisconsin

disABLEDperson Inc

Kenosha, WI • On-site

Other

Posted 3 days ago

Job description

Business Intelligence Analyst I

This position is onsite at the Corporate Headquarters located in Kenosha, WI. The Business Intelligence Analyst I designs, builds, and supports reporting and analytics solutions of moderate complexity. This role works with business partners to clarify needs, develops Power BI reports and data models, and helps ensure that data used for decision-making is accurate, timely, and well-documented. The position works with some independence but still receives guidance from more senior analysts on design, standards, and priorities.

Responsibilities

  • Translate business requirements into clear report specifications, including metrics, filters, and visual layouts.
  • Develop and maintain Power BI dashboards, paginated reports, and reusable datasets following BI team standards.
  • Create and optimize basic to moderately complex data models and DAX measures to support reporting needs.
  • Write and maintain SQL queries or use existing curated data models to retrieve and transform data for reporting.
  • Perform thorough testing and validation of all new and updated reports, including data reconciliation to source systems.
  • Monitor report refreshes and usage; assist in troubleshooting performance or data quality issues.
  • Maintain documentation for owned reports, datasets, and data transformations, including data definitions and lineage.
  • Collaborate with data engineering, application, and business teams to resolve data issues and improve data readiness.
  • Contribute to the BI team's standards, templates, and best practices; participate in peer reviews.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Management Information Systems, or a closely related field.
  • A bachelor's degree in a specifically related field is preferred; equivalent work experience is acceptable in place of this requirement.
  • 1-4 years of professional experience in business intelligence, reporting, data analysis, or application development.
  • Hands-on experience building reports or dashboards in Power BI or a similar enterprise BI platform.
  • Working knowledge of SQL for querying and validating data.
  • Understanding of basic data modeling concepts (tables, joins, keys, measures, dimensions).
  • Ability to organize work, manage multiple requests, and communicate clearly with both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with Power BI semantic models, row-level security, and performance optimization.
  • Exposure to enterprise data warehouse or cloud data platforms.
  • Experience working within a structured SDLC, using tools such as Azure DevOps, Jira, or similar.
  • Familiarity with data governance concepts and the use of shared or certified datasets.

Core Competencies

  • Technical Proficiency - Builds reliable BI solutions using standard tools, patterns, and practices.
  • Ownership - Takes responsibility for the quality and timeliness of assigned work and follows through on commitments.
  • Customer Focus - Engages with stakeholders to understand needs, clarify requirements, and provide helpful support.
  • Communication - Explains data and reporting concepts clearly to non-technical audiences.
  • Continuous Improvement - Looks for opportunities to simplify, standardize, and improve existing reports and processes

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