1

Data Intelligence Jobs in Michigan (NOW HIRING)

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

Data Architect

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives.

Front End Software Developer

Dearborn, MI · On-site

$95K - $111K/yr

Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Data architect

Lansing, MI · On-site

$64.75 - $83.25/hr

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage Technologies, Development and Delivery, Business Intelligence, Telecommunications, Consulting and ...

Minimum of 5 years of relevant data analysis or business intelligence experience * Bachelor ... degree in Business, Data Analytics, Information Systems, or a related technical discipline

Data Architect II

Lansing, MI · On-site

$110 - $170/hr

We are seeking a Senior Enterprise Data Architect to design and implement Business Intelligence and Enterprise Data Management solutions. This role will partner with business and IT stakeholders to ...

Showing results 41-60

Data Intelligence information

See Michigan salary details

$69.3K

$115.7K

$155.6K

How much do data intelligence jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data intelligence in Michigan is $115,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,700.00 per year, depending on experience, location, and employer.

What is a data intelligence?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What are the typical daily responsibilities of a data intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.

What are the key skills and qualifications needed to thrive in the data intelligence position, and why are they important?

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

What job categories do people searching Data Intelligence jobs in Michigan look for?

The top searched job categories for Data Intelligence jobs in Michigan are:

Infographic showing various Data Intelligence job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,672 per year, or $55.6 per hour.

Data Engineer with Portfolio Reporting and Business Intelligence

Voluble Systems LLC

Lansing, MI • On-site

$116K - $139K/yr

Other

Posted 17 days ago


Job description

Hi,
Kindly find the JD mentioned below,
 
 
Role: Sr Data Engineer - Portfolio Reporting and Business Intelligence
Location: Lansing, MI.
Duration: 12+ Month
 
Responsibilities:

The Senior Data Engineer shall perform duties including, but not limited to, the following:

Portfolio Reporting and Business Intelligence

·         Design, develop, implement, and maintain enterprise dashboards, executive scorecards, and business intelligence solutions supporting statewide IT investment management.

·         Develop standardized portfolio reporting supporting ITIF investments, project performance, portfolio governance, and executive oversight.

·         Design meaningful Key Performance Indicators (KPIs), portfolio metrics, and visualizations that communicate organizational performance and portfolio health.

·         Develop automated reporting processes that improve reporting accuracy, consistency, and timeliness.

·         Produce recurring and ad hoc executive reports supporting DTMB leadership, governance bodies, and agency stakeholders.

Data Engineering and Integration

·         Design, develop, and maintain data pipelines integrating information from the State''s Project Portfolio Management (PPM) platform, business intelligence environment, financial systems, governance repositories, and other enterprise data sources.

·         Develop, optimize, and maintain complex SQL queries, data models, and transformation processes.

·         Design scalable data models that support enterprise reporting and analytical capabilities.

·         Ensure data quality, consistency, integrity, and reliability across reporting environments.

·         Recommend improvements to enterprise data architecture supporting investment management and portfolio reporting.

Portfolio Analytics

·         Analyze project, portfolio, financial, schedule, resource, governance, and operational data to identify trends, risks, opportunities, and emerging issues.

·         Assess project health, risk management effectiveness, deliverable quality, and compliance with applicable standards and governance requirements.

·         Perform root cause analysis to identify systemic portfolio issues and recommend corrective actions.

·         Identify risks and opportunities requiring escalation to the EPMO and DTMB executive leadership.

·         Develop predictive and trend-based reporting supporting proactive portfolio management and investment decision-making.

Business Analysis and Stakeholder Engagement

·         Facilitate meetings with business stakeholders to identify reporting requirements, performance measures, and analytical needs.

·         Gather, analyze, and document business and technical requirements for enterprise reporting solutions.

·         Translate business requirements into technical reporting and dashboard solutions.

·         Recommend reporting strategies, visualization approaches, and analytical solutions that improve executive decision-making.

·         Document business requirements, technical specifications, data definitions, metadata, and reporting standards.

Continuous Improvement

·         Identify opportunities to automate manual reporting activities and improve reporting efficiency.

·         Recommend enhancements to portfolio reporting processes, governance metrics, and business intelligence capabilities.

·         Support development and maintenance of statewide reporting standards supporting project management and investment management.

·         Participate in continuous improvement initiatives supporting the SUITE methodology, Investment Management program, and enterprise reporting capabilities.

·         Provide knowledge transfer, documentation, and technical guidance to State staff supporting long-term sustainability.

Minimum Requirements

The selected candidate must possess:

·         Bachelor''s degree in Computer Science, Information Systems, Data Science, Business Analytics, Management Information Systems, Mathematics, Statistics, Engineering, or another closely related field. (Equivalent combinations of education, technical training, professional certifications, and directly related experience may be considered.)

·         A minimum of three (3), and preferably four to seven (4–7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.

·         Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.

·         Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms.

·         Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures.

·         Demonstrated experience analyzing portfolio, project, financial, operational, or governance data to support executive decision-making.

·         Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions.

·         Experience gathering, analyzing, and documenting business requirements and translating those requirements into technical reporting and analytical solutions.

·         Strong analytical and problem-solving skills with demonstrated experience performing root cause analysis, identifying trends, and making data-driven recommendations.

·         Experience developing and optimizing SQL queries, data models, and data transformation processes.

·         Excellent written and verbal communication skills with the ability to communicate technical information effectively to both technical and non-technical audiences.

·         Demonstrated ability to work independently while managing multiple assignments, priorities, and stakeholder expectations.

Preferred Qualifications

Preference will be given to candidates with experience in one or more of the following:

·         Project Portfolio Management (PPM) systems such as Clarity, ServiceNow PPM, Planview, Microsoft Project Online, or similar enterprise portfolio management platforms.

·         Portfolio management, investment management, project governance, or executive portfolio reporting.

·         Microsoft Power BI, Microsoft Fabric, Azure Data Factory, Azure SQL, Microsoft SQL Server, or comparable Microsoft analytics technologies.

·         Enterprise data warehousing, semantic models, or business intelligence architecture.

·         Developing automated reporting solutions using APIs, ETL processes, scripting languages, or data integration platforms.

·         Government, public sector, or other large enterprise reporting environments.

·         Project management methodologies including PMI PMBOK, Agile, Scrum, Kanban, or SAFe.

·         Financial management, capital investment management, or portfolio performance reporting.

Desired Certifications

The following certifications are preferred but not required:

·         Microsoft Certified: Power BI Data Analyst Associate

·         Microsoft Certified: Fabric Analytics Engineer Associate

·         Microsoft Azure Data Engineer Associate

·         Microsoft Azure Database Administrator Associate

·         Certified Business Intelligence Professional (CBIP)

·         Project Management Professional (PMP)

·         PMI Agile Certified Practitioner (PMI-ACP)

·         Certified Data Management Professional (CDMP)

Expected Outcomes

The successful candidate will:

·         Strengthen DTMB''s oversight of the IT investment management portfolio through timely, accurate, and actionable reporting.

·         Improve visibility into the health and performance of statewide IT investments through standardized dashboards and executive reporting.

·         Enhance the State''s ability to identify portfolio risks, emerging trends, compliance issues, and opportunities for proactive intervention.

·         Reduce manual reporting effort through automation, standardized reporting processes, and improved data integration.

·         Support informed executive decision-making through high-quality analytics and business intelligence solutions.

·         Establish scalable reporting capabilities that support the ongoing evolution of the State''s Project Portfolio Management and Investment Management programs.