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Data Analyst Government Jobs in Michigan (NOW HIRING)

Belcan

Automotive Data Analyst

Dearborn, MI · Hybrid

$30 - $35/hr

Provide robust support in responding to government inquiries, utilizing detailed data analysis and technical insights to ensure compliance with regulatory standards. * Technical Review: Diligently ...

FSA Federal

$24/hr

We currently have a vacancy for a Data Analyst. In this role, you will be supporting the overall ... As a supplier of services to federal government agencies, such as DEA, FBI, USCIS, USPIS, etc., we ...

New

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$112K - $152K/yr

CGS brings motivated, highly skilled, and creative people together to solve the government's most ... of big data analysis and storage tools and technologies. -Strong understanding of the agile ...

Contact Government Services, LLC

Data Engineer

Detroit, MI

$113K - $136K/yr

CGS brings motivated, highly skilled, and creative people together to solve the government's most ... of big data analysis and storage tools and technologies. -Strong understanding of the agile ...

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How much do data analyst government jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst government in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a data analyst working in a government setting?

One common challenge for Data Analysts in government is working with large, often complex datasets that may originate from multiple departments and legacy systems, which can require extra effort in data cleaning and integration. Additionally, government projects often have strict data privacy and security requirements that must be closely followed. Collaborating with various stakeholders, such as policy makers, IT staff, and other agencies, is also important to ensure data-driven recommendations are properly understood and implemented. These challenges can make the work dynamic and meaningful, as your analyses can have a direct impact on public programs and community outcomes.

What is a data analyst government?

A Data Analyst in government is responsible for collecting, analyzing, and interpreting data to support policy decisions, improve public services, and enhance operational efficiency. They work with large datasets from various sources, ensuring data accuracy and identifying trends to inform decision-making. Government data analysts may specialize in areas like public health, transportation, or finance, depending on the agency they serve. They use statistical tools, data visualization, and programming languages such as SQL, Python, or R to process and present information effectively. This role helps government agencies make data-driven decisions that positively impact communities.

What are the key skills and qualifications needed to thrive as a data analyst government?

To thrive as a Data Analyst Government, you need strong analytical skills, proficiency in statistics, and experience with data visualization, ideally supported by a relevant degree in data science, statistics, or public administration. Familiarity with tools like SQL, Excel, Tableau, Python, and government-specific data systems, as well as certifications in data analytics, is highly valued. Attention to detail, strong problem-solving abilities, and clear communication skills help set outstanding candidates apart. These competencies are essential for transforming complex datasets into actionable insights that support effective government decision-making and public service delivery.

What are the most commonly searched types of Data Analyst Government jobs in Michigan? The most popular types of Data Analyst Government jobs in Michigan are:
What are popular job titles related to Data Analyst Government jobs in Michigan? For Data Analyst Government jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analyst Government jobs in Michigan look for? The top searched job categories for Data Analyst Government jobs in Michigan are:
What cities in Michigan are hiring for Data Analyst Government jobs? Cities in Michigan with the most Data Analyst Government job openings:
Data Analyst Government jobs near you
Infographic showing various Data Analyst Government job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 82% In-person, 12% Hybrid, and 6% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Government Investigations and Takata Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 18 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The Data Specialist supports the Government Investigations and Takata Outreach teams by managing, analyzing, and validating complex safety, regulatory, and outreach data used in government investigations, regulatory reporting, and recall execution activities. This role ensures data accuracy, traceability, and usability to support timely, high-quality responses to regulators and to maximize recall completion outcomes.
Job Description:
  • Collect, clean, validate, and organize data supporting U.S. and international government safety investigations, informal inquiries, and Takata outreach efforts.
  • Support responses to NHTSA and other regulators by preparing data extracts, summaries, trend analyses, and supporting documentation under direction of investigation leads.
  • Manage investigation- and Takata-related data within internal systems (e.g., DAPIS and reporting tools), ensuring accuracy, completeness, and timeliness.
  • Maintain data traceability and documentation to support regulatory reviews, audits, and internal record-keeping requirements.
  • Develop routine and ad-hoc reports and metrics related to investigation status, regulatory timelines, and Takata recall completion performance.
  • Analyze outreach, owner, and repair data to identify trends, gaps, and opportunities to support improved Takata recall participation.
  • Coordinate with Government Investigations, Takata Program Management, and ICT to resolve data quality issues and ensure alignment across data sources.
  • Support regulatory reporting activities through data preparation, verification, and review.
  • Follow established data governance, privacy, and compliance requirements.
  • Identify incremental opportunities to improve data accuracy, consistency, and reporting efficiency.

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Information Systems, Engineering, Business, or a related technical or quantitative discipline
  • Minimum of 5 years of experience working with data in a safety, regulatory, investigations, compliance, or operational analytics environment
  • Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback, or outreach metrics
  • Strong understanding of data validation, traceability, documentation, and quality control practices supporting regulatory or audit needs
  • Ability to analyze data to identify trends, patterns, gaps, and inconsistencies and clearly summarize findings
  • Working knowledge of reporting, data analysis, and visualization tools (e.g., Excel, databases, dashboards); ability to learn internal systems quickly
  • Experience supporting investigations, reporting, or program execution through timely and accurate data preparation
  • Strong attention to detail with the ability to manage multiple priorities and meet time-sensitive deadlines
  • Ability to understand and break down complex data or issues into clear, actionable information
  • Strong written and verbal communication skills to support internal stakeholders, including investigators, program managers, and leadership
  • Ability to work independently on assigned tasks while collaborating effectively within cross-functional teams

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