Senior Business Intelligence Engineer

State of Wisconsin Investment Board

Madison (WI)

Hybrid

USD 95,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work environment
Competitive compensation
Educational and training opportunities
Tuition reimbursement
Comprehensive benefits package

Job summary

State of Wisconsin Investment Board (SWIB) is seeking an experienced engineer to design, develop, and deliver scalable analytics solutions that support investment decisions. The role focuses on BI reporting using Power BI, data modeling, and governance across multiple enterprise data sources.

The ideal candidate brings 6+ years of analytics solution experience, Azure cloud knowledge, and strong communication to translate business needs into technical insights.

Qualifications

  • Bachelor’s degree in a related field.
  • 6+ years designing, developing, deploying, and maintaining analytical solutions.
  • Advanced experience with Power BI.
  • Strong data modeling, DAX, and SQL skills.
  • Experience with Azure cloud and data governance practices.
  • Familiarity with AI-assisted development tools.

Responsibilities

  • Partner with agency teams to develop reports, dashboards, and analytical solutions.
  • Translate complex requirements into scalable reporting solutions.
  • Design impactful Power BI reports and ensure accuracy and performance.
  • Provide guidance on data modeling, architecture, and deployment standards.
  • Promote best practices in data visualization, testing, and documentation.
  • Support CI/CD processes and automate testing/validation.

Skills

Power BI
DAX
SQL
Data Modeling
BI Reporting
Azure Cloud
CI/CD
AI-assisted development
Communication
Team Mentoring

Education

Bachelor's degree in a related field
PL-300 Power BI Data Analyst certification (preferred)
CFA/CAIA designation (plus)

Tools

Snowflake
Azure
BI tooling (Power BI)
CI/CD tooling
SQL tooling

Job description

Sophisticated Work. In a Great City. Making a Difference.

The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. The City of Madison, the state capitol and home of Wisconsin’s flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits. Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.

Job Description

*Applicants on an OPT, CPT visa or anyone requiring H-1B transfers or sponsorship into the H-1B lottery will not be considered for this position.

Position Overview

We are seeking an experienced and highly skilled engineer to join our dynamic team. The engineer will play a key role in advancing our data-driven decision-making capabilities by designing, developing, and delivering scalable analytics solutions that support business and investment decisions. This position requires a strong analytical mindset, advanced proficiency in data visualization and business intelligence tools, and the ability to translate complex business requirements into effective technical solutions. The engineer will report to the Data Services and Engineering Director and will partner with staff throughout the organization to deliver timely and actionable insights by leveraging BI tools such as Power BI. This role will also help establish reporting standards, promote best practices, and support the continued evolution of the organization’s engineering capabilities.

Essential activities
  • Partner with teams across the agency to develop reports, dashboards, and analytical solutions that meet business and investment needs.
  • Drive, document, and understand complex requirements and translate them into scalable and effective reporting solutions.
  • Design and develop impactful and insightful reports using Power BI.
  • Ensure reports are accurate, performant, visually effective, intuitive, and aligned with business objectives and organizational standards.
  • Provide technical guidance on architecture, data modeling, DAX development, SQL, visualization standards, performance optimization, testing, and deployment practices.
  • Foster a culture of continuous improvement and innovation in engineering practices.
  • Stay current on reporting, analytics, and business intelligence trends and industry best practices.
  • Drive enhancements that improve usability, effectiveness, scalability, maintainability, and data governance.
  • Provide support for issues and questions.
  • Troubleshoot and resolve complex reporting, data, and performance challenges to ensure uninterrupted access to critical business insights.
  • Develop and support automated testing, reconciliation, monitoring, and data quality processes to improve the accuracy and reliability of reports and analytical solutions.
  • Validate and critically review AI-generated code, queries, analysis, and documentation to ensure accuracy, security, maintainability, and compliance with organizational standards.
  • Maintain comprehensive documentation of solutions, technical designs, business logic, processes, incidents, and resolutions.
  • Ensure documentation supports troubleshooting, knowledge transfer, and consistency in reporting practices.
  • Validate and critically review AI-generated code, queries, analysis, and documentation to ensure accuracy, security, maintainability, and compliance with organizational standards.
  • Adhere to and promote best practices in data visualization, accessibility, security, development, and deployment when designing and publishing solutions.
  • Ensure compliance with agency standards and data governance policies.
  • Support the implementation and enhancement of automated deployment processes using Continuous Integration and Continuous Deployment (CI/CD) techniques.
  • Mentor and support other team members through technical guidance, knowledge sharing, and solution reviews.
The ideal candidate
  • Demonstrates a proactive attitude toward enabling business and investment decision-making through insightful, scalable, and reliable reporting and dashboard solutions.
  • Excellent verbal and written communication skills, including the ability to communicate complex technical concepts to technical and non-technical audiences.
  • Bachelor’s degree in Finance, Business Administration, Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
  • Advanced experience using Power BI.
  • Experience using generative AI or AI-assisted development tools to support software development, data analysis, documentation, troubleshooting, or other technical workflows.
  • Ability to effectively prompt, evaluate, validate, and refine AI-generated outputs rather than relying on generated results without technical review.
  • 6+ years of experience designing, developing, deploying, and maintaining analytical solutions.
  • General knowledge of and interest in the investment industry.
  • Direct experience in the financial services, investment management, or asset management industry.
  • Strong experience with data modeling, DAX (Data Analysis Expressions), and SQL querying for data manipulation, analysis, and integration within reporting solutions.
  • Experience designing scalable semantic models and integrating data from multiple enterprise data sources.
  • Experience implementing testing tools, automated validation, reconciliation, and data quality metrics and processes to ensure the accuracy and reliability of supported reports.
  • Proficient in conducting complex data analysis, interpreting financial information, and presenting insights to support business and investment decision-making.
  • Experience deploying reports utilizing automated processes and Continuous Integration and Continuous Deployment (CI/CD) techniques.
  • Experience deploying and supporting solutions using cloud providers such as Azure.
  • Experience with development standards, code review practices, testing methodologies, and software development lifecycle principles.
  • Experience providing technical guidance or mentoring other reporting and analytics professionals.
  • Experience with Snowflake as a data source is a plus.
  • PL-300 Microsoft Power BI Data Analyst Associate Certification is preferred.
  • CFA or CAIA designation is a plus.
SWIB Offers
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization. Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office or the job position. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy. All SWIB employees are subject to SWIB’s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB’s talent acquisition team and any questions can be answered by SWIB’s compliance team.

The State of Wisconsin Investment Board (SWIB) is a premier investment organization with more than $156 billion in assets under management. Using a range of investment strategies across a spectrum of fixed income, equity, and private market asset classes, SWIB’s Core Fund has commonly beaten its benchmarks in the one-, five-, and ten-year time horizons with a combination of internal portfolio management and allocation of assets to external managers.

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