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Data Analyst Finance Jobs in Michigan (NOW HIRING)

The Commercial Finance Analyst is responsible for supporting the Commercial team with customer ... The role also translates financial and operational data into actionable recommendations, identifies ...

New

Senior Finance Analyst

Auburn Hills, MI · On-site

$80K - $100K/yr

The VCP Finance Professional has a main priority to partner with various (Commercial / Industrial ... Validate initiative savings by analyzing data, verifying cost reductions, and confirming benefits ...

This is a hands-on analytical role for a professional who enjoys working with financial and operational data, identifying trends and variances, solving problems, and improving how financial ...

This is a hands-on analytical role for a professional who enjoys working with financial and operational data, identifying trends and variances, solving problems, and improving how financial ...

Senior Finance Systems Analyst Posting Start Date: 8/28/26 Join the Future of Workspace Innovation ... Analyze process and/or system data to identify trends, patterns, and areas for improvement while ...

Senior Finance Systems Analyst

Holland, MI · On-site

$79K - $99K/yr

This unique role sits at the intersection of finance, technology, process improvement, data, and ... Analyze process and/or system data to identify trends, patterns, and areas for improvement while ...

Senior Finance Systems Analyst

Holland, MI · On-site

$81K - $101K/yr

This unique role sits at the intersection of finance, technology, process improvement, data, and ... Analyze process and/or system data to identify trends, patterns, and areas for improvement while ...

Contract and Data Analyst (Managed Care)

Yale, MI · On-site

$61K - $74K/yr

Develop models, analyzes, and monitors financial performance of existing and proposed contracts ... Develops, produces, and maintains data sets required for contract analysis. Develops and maintains ...

Showing results 41-60

Data Analyst Finance information

See Michigan salary details

$30.5K

$74.5K

$123.8K

How much do data analyst finance jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst finance in Michigan is $74,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $87,600.00 per year, depending on experience, location, and employer.

What does a data analyst in finance do?

A Data Analyst in Finance collects, processes, and analyzes financial data to help organizations make informed business decisions. They work with large datasets to identify trends, forecast financial outcomes, and create reports or dashboards for stakeholders. Their responsibilities often include cleaning data, performing statistical analysis, and visualizing results to support budgeting, investment strategies, and risk management. They play a key role in ensuring financial data accuracy and providing actionable insights that drive company performance.

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

To thrive as a Data Analyst in Finance, you need strong analytical skills, a solid understanding of financial concepts, and proficiency in data interpretation, typically supported by a degree in finance, statistics, or a related field. Familiarity with tools such as Excel, SQL, and data visualization software like Tableau or Power BI, as well as knowledge of financial modeling and relevant certifications (e.g., CFA, FRM), is highly valuable. Attention to detail, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights for stakeholders. These abilities ensure accurate financial analysis, support strategic decision-making, and enhance organizational performance in a data-driven financial environment.

How does a data analyst in finance typically collaborate with other departments within an organization?

A Data Analyst in Finance often works closely with teams such as accounting, operations, and business strategy to gather relevant data and provide insights that influence key financial decisions. Collaboration may include participating in cross-functional meetings to understand data needs, sharing financial reports with stakeholders, and supporting budgeting or forecasting processes. Effective communication is essential, as data analysts must translate complex data findings into actionable recommendations for both technical and non-technical colleagues. This collaborative environment helps ensure that financial strategies are data-driven and aligned with organizational goals.

What is the difference between Data Analyst Finance vs Financial Analyst?

AspectData Analyst FinanceFinancial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, data visualization toolsBachelor's in Finance, Economics, or related; often CFA or CPA certifications
Work EnvironmentFinancial institutions, corporate finance departments, investment firmsBanking, investment firms, corporate finance, consulting
Primary FocusAnalyzing financial data, creating reports, supporting decision-makingForecasting, valuation, investment analysis, financial planning

While both roles analyze financial data, Data Analyst Finance primarily focuses on data collection, visualization, and supporting operational decisions. Financial Analysts often engage in forecasting, valuation, and investment strategies. The roles overlap in skills and industry settings but differ in scope and specific responsibilities.

Can a data analyst work in finance?

Yes, a data analyst can work in finance by analyzing financial data, creating reports, and supporting decision-making processes. Skills in Excel, SQL, and data visualization tools are commonly used in finance roles for data analysis tasks.

What cities in Michigan are hiring for Data Analyst Finance jobs?

Cities in Michigan with the most Data Analyst Finance job openings:

Infographic showing various Data Analyst Finance job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $74,486 per year, or $35.8 per hour.

WORKFORCE DATA & REPORTING ANALYST

CrossFire Group

Detroit, MI

$34.27/hr

Full-time, Contractor

Posted 8 days ago


Job description

WORKFORCE DATA & REPORTING ANALYST
Power BI | SQL | Data Visualization | Operational Reporting

Location: Detroit, MI 48226
Work Schedule: Monday through Friday, 40 hours per week
Pay Rate: $34.27 per hour
Job Type: Full-Time Contract

Position Overview
Our client is seeking a detail-oriented Workforce Data & Reporting Analyst to support workforce planning, workload management, operational reporting, and data-driven decision-making.

This position will collect and analyze data, develop routine and ad hoc reports, create metrics and visualizations, and provide recommendations based on findings. The analyst will also gather business requirements, write database queries, coordinate follow-up activities, and help ensure workforce and operational information is accurate and accessible.

The ideal candidate has strong analytical and organizational skills, experience working with data and reporting tools, and the ability to translate complex information into clear, understandable reports and visualizations.

Responsibilities
  • Support workforce planning and workload-management activities.
  • Maintain, track, and analyze workforce and operational data.
  • Generate routine and ad hoc reports, metrics, and performance summaries.
  • Gather, review, validate, and organize data from multiple sources.
  • Analyze information, identify trends, and make data-supported recommendations.
  • Write and execute database queries to retrieve and analyze information.
  • Create dashboards, charts, and other visual representations of data.
  • Present data in a clear and understandable format for business stakeholders.
  • Gather requirements for reports, projects, and analytical requests.
  • Coordinate follow-up activities, including scheduling meetings, updating data, and revising reports.
  • Monitor assigned projects and reporting requests through completion.
  • Maintain accurate documentation related to reports, metrics, and analytical processes.
  • Work collaboratively with team members and internal business partners.
Minimum Qualifications
  • Bachelor’s degree in information technology, business analytics, data analytics, computer science, mathematics, finance, business, or a related field.
  • Proficiency with Microsoft Office, particularly Excel.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to review data for accuracy and identify trends or inconsistencies.
  • Strong written and verbal communication skills.
  • Ability to manage multiple assignments and meet deadlines.
Preferred Qualifications
  • Experience developing reports or dashboards in Power BI.
  • Experience writing queries in SQL Server or another relational database.
  • Knowledge of data visualization and reporting best practices.
  • Experience with workforce planning, operational reporting, or performance metrics.
  • Advanced Excel skills, including pivot tables, lookups, charts, and data manipulation.
  • Programming or scripting experience using R, JavaScript, PHP, C++, or a similar language.
  • Experience gathering business requirements and translating them into reports or analytical solutions.
Ideal Candidate
You may be a strong fit if you enjoy working with data, finding patterns, creating reports, and helping teams make informed decisions. This opportunity may be suitable for an early-career analyst with strong technical skills or an experienced reporting professional seeking to apply Power BI, SQL, and data-visualization expertise in an operational environment.

Apply Today
If you are an analytical professional with experience in reporting, database querying, or data visualization, we encourage you to apply. Please submit your resume highlighting your experience with Power BI, SQL, Excel, dashboards, reporting, and data analysis.

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