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Data Analyst Finance Jobs in Michigan (NOW HIRING)

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... We work with clients across all major verticals, providing industry solutions for Financial ...

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

The Analyst collaborates closely with Finance, Marketing, Human Resources, Recruiting, Information Technology, and Practice Leadership to ensure accurate reporting and data-driven decision-making ...

New

The Analyst collaborates closely with Finance, Marketing, Human Resources, Recruiting, Information Technology, and Practice Leadership to ensure accurate reporting and data-driven decision-making ...

New

The Analyst collaborates closely with Finance, Marketing, Human Resources, Recruiting, Information Technology, and Practice Leadership to ensure accurate reporting and data-driven decision-making ...

New

The Analyst collaborates closely with Finance, Marketing, Human Resources, Recruiting, Information Technology, and Practice Leadership to ensure accurate reporting and data-driven decision-making ...

New

Senior Data Analyst

Dearborn, MI

$79K - $99K/yr

Serve as a subject matter expert in customer analytics, customer experience analytics, program effectiveness, and financial reporting. * Build and maintain dashboards and data visualizations using ...

Senior Data Analyst

Dearborn, MI · On-site

$79K - $99K/yr

Serve as a subject matter expert in customer analytics, customer experience analytics, program effectiveness, and financial reporting. * Build and maintain dashboards and data visualizations using ...

Maintains a strong knowledge of current and emerging technologies or trends impacting the financial ... Hardcore data analyst with broad experience desired in data warehousing, documenting business ...

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining ... Bachelor's degree in business, Supply Chain Management, Finance, Marketing, Economics ...

Knowledge of insurance or financial compliance, regulatory reporting, or data governance preferred * LOMA or AIRC designations desirable Preferred Qualifications * Bachelor's degree in Data Analytics ...

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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 Aug 31, 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.

Senior Finance Data Engineer / Data Analyst

Auburn Hills, MI • On-site


Stellantis
IT Services

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 45 rated automakers

Good employer

Recommended by students

Paid breaks


Full-time

Re-posted 3 days ago


Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools


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