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Full Time Data Analyst Jobs in Michigan (NOW HIRING)

Niowave Inc.

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Senior Data Analyst Who we are... We are a team of scientists, engineers, technicians, and ... Experience with Python for analysis or automation Other things to know... * Full-time position

Masco Corporation

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Join Masco Corporation in Livonia, MI, as a Procurement COE Data Analyst and be a pivotal part of ... Masco Full time Hiring Range: $49,500.00 - $77,660.00 USD Actual compensation may vary based on ...

Spectrum Health

Oncology Data Analyst

Royal Oak, MI · Hybrid

Help plan training schedule and train new Data Analysts in all aspects of case-finding, case ... Full time Shift Weekly Scheduled Hours 40 Hours of Work Days Worked Weekend Frequency CURRENT ...

Corewell Health

Oncology Data Analyst

Royal Oak, MI · On-site +1

Help plan training schedule and train new Data Analysts in all aspects of case-finding, case ... Full time Shift Weekly Scheduled Hours 40 Hours of Work Days Worked Weekend Frequency CURRENT ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

This is a full-time, direct hire role. Salary: Up to 113K DOE! Location: Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position

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All JobsData Analyst JobsFull Time Data Analyst JobsFull Time Data Analyst Jobs in Michigan

Full Time Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do full time data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for full time 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 the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

What are typical collaboration partners for a Full Time Data Analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What does a Full Time Data Analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What are the key skills and qualifications needed to thrive as a Full Time Data Analyst, and why are they important?

To thrive as a Full Time Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.
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 Full Time Data Analyst jobs in Michigan? For Full Time Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Full Time Data Analyst jobs in Michigan look for? The top searched job categories for Full Time Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Full Time Data Analyst jobs? Cities in Michigan with the most Full Time Data Analyst job openings:
Full Time Data Analyst jobs near you
Infographic showing various Full Time Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Data Analyst III

Data Analyst III

AAA Life Insurance Company

Livonia, MI • On-site

Full-time

Posted 11 days ago

Job description

Overview

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.

Responsibilities
  • Lead & develop automated, easy to understand reports and ad hoc analyses to address specific marketing questions and provide insights to guide decision making.
  • Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends, patterns, and key performance metrics.
  • Collaborate closely with marketing teams to interpret data and provide actionable insights to optimize marketing campaigns, customer segmentation, and overall strategy.
  • Develop and implement data governance and quality assurance processes.
  • Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that marketing staff can easily interpret and use to inform their strategies.
  • Lead and develop key performance indicators (KPIs), tracking marketing initiatives against established goals, and providing regular updates to stakeholders.
  • Conduct A/B tests and statistical analyses to evaluate the effectiveness of marketing strategies, making data-driven recommendations for improvements.
  • Collaborate with marketing teams to segment audiences effectively and personalize marketing approaches based on data-driven insights.
  • Maintain clear and organized documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts regarding best practices in field.
Qualifications
  • Bachelor in Statistics, Marketing, Economics, Computer Science, or related technical field. Master's degree is a plus.
  • A minimum of five years' experience working as a Data Analyst, Marketing Analyst, or similar role.
  • Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL).
  • Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools.
  • Proficiency with marketing analytics tools and platforms (i.e., Google Analytics, Adobe Analytics).
  • Solid understanding of statistical concepts and experience with A/B testing and hypothesis testing.
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
Employment Type: FULL_TIME

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