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Senior Data Analytics Engineer Jobs in Michigan (NOW HIRING)

... Senior Data Engineer to support statewide portfolio reporting, business intelligence, and data ... The successful candidate will serve as a technical and analytical resource within the Enterprise ...

Senior Data Engineer

Lansing, MI ยท On-site

$52 - $65/hr

... Senior Data Engineer to support statewide portfolio reporting, business intelligence, and data ... The successful candidate will serve as a technical and analytical resource within the Enterprise ...

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

Senior Data Engineer

Auburn Hills, MI ยท On-site

$100K - $136K/yr

... and analytics use cases * Promote maintainable structures, reusable components and clear lineage ... of a broader senior data-engineering scope Skills You'll Grow: * Broader exposure across the ...

Sr. Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants ... The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple ...

Sr Data Management Analyst

Midland, MI ยท On-site

$73K - $93K/yr

The Senior Data Analyst leads initiatives for stringent data governance, collaborating cross ... Master's degree in data science, analytics, or a related field preferred. Other Information ...

Senior Data Analyst

Detroit, MI ยท On-site +1

$96K - $132K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ...

Showing results 21-40

Senior Data Analytics Engineer information

See Michigan salary details

$70.6K

$110.1K

$152.5K

How much do senior data analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data analytics engineer in Michigan is $110,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Michigan? The most popular types of Data Analytics Engineer jobs in Michigan are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Michigan? For Senior Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Michigan look for? The top searched job categories for Senior Data Analytics Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Data Analytics Engineer jobs? Cities in Michigan with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,107 per year, or $52.9 per hour.

Senior Data Engineer

Zenfreed LLC

Lansing, MI โ€ข On-site

Full-time

Medical, Dental, Vision

Posted 11 days ago


Job description


The Michigan Department of Technology, Management and Budget (DTMB) is seeking an experienced Senior Data Engineer to support statewide portfolio reporting, business intelligence, and data analytics for the State Unified Information Technology Environment (SUITE) Investment Management program.
DTMB administers the Information Technology Investment Fund (ITIF), a legislative appropriation that provides funding for critical information technology modernization, cybersecurity, innovation, and infrastructure initiatives across State of Michigan agencies. Given the size, visibility, and complexity of these investments, DTMB requires timely, accurate, and actionable reporting to support executive oversight, portfolio governance, and informed investment decision-making.
The successful candidate will serve as a technical and analytical resource within the Enterprise Portfolio Management Office (EPMO), supporting the SUITE Investment Management and Project and Portfolio Management Support teams within the Portfolio Division. The resource will be responsible for designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions that enable effective portfolio governance and performance management.
Working collaboratively with executive leadership, portfolio managers, project managers, business stakeholders, and technical teams, the Senior Data Engineer will transform data from multiple enterprise systems into actionable business intelligence supporting investment management, project oversight, risk identification, compliance monitoring, and executive decision-making.
While the primary focus of this position will be supporting ITIF-funded initiatives, the resource may also develop reporting and analytical capabilities supporting the broader statewide IT portfolio, Project Portfo
JobDuties
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.

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
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

Requirements
4-7, minimum 3 years:
  • Experience in data engineering, business intelligence, data analytics, or a related information technology discipline.

Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions.
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 gathering, analyzing, and documenting business requirements and translating those requirements into technical reporting and analytical solutions.
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.
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
DesiredSkills
  • 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
  • icrosoft Certified: Power BI Data Analyst Associate

Certifications:
  • 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 (CD
MinimumEducation
  • 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

Location
  • Local candidates ONLY. Candidate MUST be located in Michigan at time of submission and be able to abide by the hybrid work schedule.
  • Positionis ahybrid schedulewith NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week. Wednesdays and Thursdays are required onsite days.
  • WorkinghoursMonday-Friday,approximately8:00 a.m. to5:00p.m.
AdditionalRequirements
  • Must be authorizedtowork in the UnitedStates; We are unable to offersponsorships atthis time
  • Must undergo a background checkand drugscreening foremployment.

EmploymentTerms
  • This is a W2 position
  • 40 hrs per week
  • HYBRID schedule - NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week. Wednesdays and Thursdays are required onsite days.

AboutZenfreed
AtZenfreed, we are more than an IT company. We bridgethegap between people wanting to do the work they were meant to doand organizations needing the right talent.
We are dedicated to building a diverse,inclusive and authenticworkplace, so if you're excitedabout this role but your pastexperience doesn't alignperfectly with every qualification in thejob description,we encourage you to apply anyway. You may be justthe rightcandidate for this or other roles.
Benefits
We understand a comprehensive benefits package is crucial toemployment satisfaction. We offer medical, dental and vision coverageoptions for all employees.