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Intermediate Data Analyst Jobs in Michigan (NOW HIRING)

The Quality Data Analyst is responsible for supporting in the identification of warranty issues ... Microsoft Office intermediate or advance knowledge * Willingness to work off shift hours and ...

Data Analysis Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... intermediate analysts building professional data analysis capabilities. * Effective Teaching ... Methods: Ability to identify concepts students commonly struggle with, explain material using ...

Data Analysis Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... intermediate analysts building professional data analysis capabilities. * Effective Teaching ... Methods: Ability to identify concepts students commonly struggle with, explain material using ...

Data Analysis Tutor

Detroit, MI · Remote

$18 - $40/hr

... intermediate analysts building professional data analysis capabilities. * Effective Teaching ... Methods: Ability to identify concepts students commonly struggle with, explain material using ...

SUMMARY: Responsible to the CASS Manager for performing operational data analysis, which ... Intermediate knowledge and skills of computer applications: Outlook, Word, Excel, and Power Point ...

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Intermediate Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do intermediate data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for intermediate 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 is an intermediate data analyst?

Intermediate Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They possess solid analytical skills, working knowledge of data analysis tools, and the ability to interpret complex data sets. Typically, they have some experience beyond entry-level roles and can handle more advanced tasks such as building reports, creating dashboards, and supporting business strategies with data-driven insights. Their work often involves collaborating with other teams to identify trends and provide actionable recommendations.

How does an intermediate data analyst typically collaborate with other departments within an organization?

As an Intermediate Data Analyst, you'll frequently work alongside teams such as marketing, finance, operations, and IT to gather requirements, interpret data needs, and deliver actionable insights. You may be responsible for translating business questions into analytical tasks, sharing findings through presentations or dashboards, and supporting decision-making processes. Collaboration often involves participating in cross-functional meetings, clarifying data definitions, and ensuring that analysis aligns with organizational goals. Building strong relationships with stakeholders is key to understanding their challenges and ensuring your work has maximum impact.

What are the key skills and qualifications needed to thrive as an intermediate data analyst, and why are they important?

To thrive as an Intermediate Data Analyst, you need strong analytical skills, experience with data manipulation and statistical analysis, and a relevant degree such as in mathematics, statistics, or computer science. Proficiency in tools like SQL, Excel, Python or R, and familiarity with data visualization platforms such as Tableau or Power BI are typically required. Attention to detail, effective problem-solving, and clear communication skills help you translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate analyses that drive informed business decisions.

Is it still worth it to become a data analyst in 2026?

Data analyst roles remain valuable in 2026 as organizations continue to rely on data-driven decision-making, with skills in SQL, Excel, and data visualization tools like Tableau or Power BI in demand. The role often requires strong analytical skills, familiarity with programming languages such as Python or R, and the ability to interpret complex data sets, making it a stable career choice for those with relevant skills. Continuous learning and certification can enhance job prospects in this evolving field.

What is intermediate level data analysis?

Intermediate data analysts perform more complex data analysis tasks than entry-level roles, including data cleaning, visualization, and basic statistical modeling using tools like Excel, SQL, or Python. They interpret data insights to support decision-making and often work with larger datasets and more advanced techniques than beginners.

What are the most commonly searched types of Data Analyst jobs in Michigan?

The most popular types of Data Analyst jobs in Michigan are:

What are popular job titles related to Intermediate Data Analyst jobs in Michigan?

For Intermediate Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Intermediate Data Analyst jobs in Michigan look for?

The top searched job categories for Intermediate Data Analyst jobs in Michigan are:

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

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

Infographic showing various Intermediate Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Quality Data Analyst

Sterling Heights, 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

15th of 45 rated automakers

Good employer

Recommended by students

Paid breaks


Full-time

Posted 5 days ago


Job description

The Quality team is currently seeking a solutions-oriented Quality Data Analyst to join the Quality team at the Sterling Heights Assembly Plant. The Quality Data Analyst is responsible for supporting in the identification of warranty issues from the field and clearly defining the problem or issue. The Quality Analyst will research warranty data for issue identification, and document and communicate appropriate communications to the support teams responsible. They will work with Engineering and assembly plant personnel to track issue resolution and ensure effective containment and permanent corrective actions are established.
Specific Responsibilities include but are not limited to:
  • Analyze warranty claim data
  • Perform analysis of warranty data to identify trends, emerging issues, and focus areas
  • Fast Track parts to appropriate locations to provide samples and/or examples of the condition under investigation in order to demonstrate the issue
  • Research issues using available tools
  • Create appropriate documentation (Transmittals/GIMs) that very clearly describe the vehicle issue that the customer experiences
  • Provide additional information to the individuals assigned to understand and resolve the issue
  • Maintain Transmittal updates based on input from the Engineers assigned to issue resolution
  • Assure all criteria are met for Transmittal closure
  • Chart data as required to define an issue to demonstrate progress of the team
  • Participate in processes consistent with issue resolution management and closure
  • Achieve KPI's established
  • Communicate with dealers to better understand vehicle issues and dealer repair actions
  • Strong interpersonal skills with ability to work in a team environment
  • Represent the "Voice of the Customer" to the platform teams
  • Interface with other areas of Quality as well as Engineering through the performance of ad-hoc analysis

Basic Qualifications:
  • Bachelor of Science in Engineering, Engineering Technology or related technical degree
  • 1+ years' experience working as an analyst or other related field
  • Ability to work and interact with all levels of the organization
  • Strong oral, written, presentation and organizational skills
  • Ability to translate technical data and analysis into an executive summary format for presentation in easily understandable formats
  • Ability to embrace cross-functional teams responsible for developing, specifying, building, and launching powertrain manufacturing processes
  • Knowledge of advanced problem-solving skills and ability to manage data analysis to identify root causes and attack them to closure
  • Knowledge of cost studies and strategic planning
  • Microsoft Office intermediate or advance knowledge
  • Willingness to work off shift hours and weekends as needed

Preferred Qualifications:
  • Master's degree in Engineering or other similar technical equivalent
  • Preferred 5 + years' manufacturing experience, Powertrain Manufacturing experience a plus
  • Preferred 5+ years' experience in program management or multi-tasking environment


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