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Power Bi Data Analyst Jobs in Michigan (NOW HIRING)

BDO

Power BI Lead Developer

Grand Rapids, MI

Creates complex Data Analysis Expression (DAX) measures to support the data analysis needs of visualizations * Maps data models to source systems and track entire data lineage * Configures ...

BDO USA

Power BI Lead Developer

Grand Rapids, MI · On-site

Creates complex Data Analysis Expression (DAX) measures to support the data analysis needs of visualizations * Maps data models to source systems and track entire data lineage * Configures ...

Varsity Tutors

Microsoft Power BI Tutor

Detroit, MI · Remote

$18 - $40/hr

Adapts instruction using real business data sets, DAX calculation exercises, and dashboard design projects to support analysts and business professionals from Power BI beginners through advanced ...

Varsity Tutors

Microsoft Power BI Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Adapts instruction using real business data sets, DAX calculation exercises, and dashboard design projects to support analysts and business professionals from Power BI beginners through advanced ...

Varsity Tutors

Microsoft Power BI Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Adapts instruction using real business data sets, DAX calculation exercises, and dashboard design projects to support analysts and business professionals from Power BI beginners through advanced ...

Zobility

Quality Data Analyst

Auburn Hills, MI · On-site

... Data Analyst to support Technical Service Operations by delivering data-driven insights and ... The role involves building Power BI reports, executing complex queries, and maintaining ...

Tech Tammina LLC

Jr. Data Analyst

Jackson, MI · On-site

Role: Jr. Data Analyst Location: Jackson, MI (Hybrid) Duration: Long term Rate: Market ... Power BI Assist with data entry tasks and support ongoing automation initiatives using Power ...

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How much do power bi data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for power bi data analyst 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 some typical projects or tasks a Power BI data analyst might work on?

Power BI Data Analysts commonly work on projects such as designing interactive dashboards, generating recurring business reports, and analyzing large datasets to identify trends and opportunities. They frequently collaborate with stakeholders from marketing, finance, or operations to gather requirements and tailor visualizations to specific business needs. In addition to developing and maintaining Power BI reports, analysts may also perform data cleaning, validate data accuracy, and provide training or support to end-users. This variety of tasks helps keep the role engaging while allowing analysts to make a significant impact on business strategies and operations.

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

To thrive as a Power BI Data Analyst, you need strong analytical skills, experience with data modeling and visualization, and a solid foundation in statistics or business intelligence principles, typically supported by a relevant degree. Proficiency in Power BI, DAX, Excel, and often SQL or other database tools is essential, while certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Excellent communication, problem-solving abilities, and teamwork help analysts translate complex data findings into actionable business insights. These skills are crucial for effectively transforming raw data into meaningful, data-driven decisions that support organizational goals.

What are the most commonly searched types of Power Bi Data Analyst jobs in Michigan? The most popular types of Power Bi Data Analyst jobs in Michigan are:
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Power Bi Data Analyst jobs near you
Infographic showing various Power Bi Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 11 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

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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