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Data Analyst Tech Jobs in Michigan (NOW HIRING)

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... edge technology. We will achieve this by prioritizing individuals and staying attuned to the ...

This role partners with servicing operations, compliance, finance, risk, and technology teams to ... Key Responsibilities Data Analysis & Reporting • Analyze mortgage servicing portfolio data ...

Familiarity with intent data, firmographic enrichment, or technology intelligence providers; understanding of GDPR, CASL, and CAN-SPAM in a B2B marketing context. #LI-TV1 What's in it For You?

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

We're a brand with technology at our hearts and the most driven and focused talent in the business ... As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

We're a brand with technology at our hearts and the most driven and focused talent in the business ... As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage ...

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Showing results 1-20

Data Analyst Tech information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data analyst tech jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data analyst tech 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What does a data analyst do in tech?

A data analyst in tech collects, processes, and analyzes large datasets to identify trends, generate reports, and support decision-making. They often use tools like Excel, SQL, and data visualization software, and require strong analytical skills and attention to detail.

What are some common challenges Data Analyst Tech professionals face when working with large datasets?

Data Analyst Tech professionals often encounter challenges such as ensuring data quality, managing inconsistencies, and handling missing or incomplete information when working with large datasets. Additionally, optimizing data processing for speed and efficiency can be demanding, especially when using complex analytical tools. Collaborating closely with IT and engineering teams is crucial to address these challenges and maintain data integrity throughout all stages of analysis.

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

To thrive as a Data Analyst Tech, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like computer science, mathematics, or information technology. Experience with data visualization tools (like Tableau or Power BI), SQL databases, and programming languages such as Python or R is typically required, along with certifications like Microsoft Certified Data Analyst Associate. Exceptional attention to detail, critical thinking, and effective communication are highly valued soft skills for interpreting data and sharing insights. Mastery of these skills ensures accurate data-driven decision-making and clear communication of findings to stakeholders.

Is 40 too late for data science?

Data Analyst roles often value skills and experience over age, and many professionals transition into data science at various ages, including 40 or older. Gaining relevant skills such as programming, statistics, and tools like Python or SQL can facilitate entry, and continuous learning is common in the field.

What are Data Analyst Techs?

Data Analyst Techs are professionals who use technical tools and methods to collect, process, and interpret data to help organizations make informed decisions. They often work with large datasets, using programming languages like Python or SQL, and data visualization tools to uncover trends and insights. Their work supports business strategies, identifies opportunities for improvement, and helps solve complex problems. Data Analyst Techs typically collaborate with other teams to ensure data accuracy and relevance, and to communicate their findings effectively.

What jobs pay 200,000 a year in the USA?

Data analysts typically do not earn $200,000 annually unless they hold senior or specialized roles, such as data science managers or analytics directors, often requiring advanced skills in programming, machine learning, and business strategy. High-paying roles in related fields include software engineers, IT managers, and financial analysts with extensive experience and certifications. Salary levels depend on industry, location, experience, and education.
Infographic showing various Data Analyst Tech job openings in Michigan as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 59% Full Time, 36% Part Time, and 2% 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.
Analytics Engineer / Data Analyst - Okemos/Farmington Hills, MI

Analytics Engineer / Data Analyst - Okemos/Farmington Hills, MI

Digital Technology Solutions

Okemos, MI • On-site

Other

Posted 25 days ago


Job description

DTS is looking for Analytics Engineer / Data Analyst for our direct client position in Okemos/Farmington Hills, MI

Summary:  
We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and Tableau.
The analyst will work across the full data lifecycle—from transforming raw data into analytics-ready datasets to enabling business insights through Tableau.
This role requires hands-on experience with modern data stack tools and the ability to convert complex business requirements into structured, reliable data models.
Success in this position requires strong SQL skills, experience with dbt-based data modeling, and the ability to work within Snowflake-based environments.
The individual should be comfortable supporting end-to-end data workflows, including pipeline development, validation, and Tableau integration.
Success also requires strong analytical thinking, attention to data quality, and the ability to bridge business and technical perspectives.
The individual will also provide documentation, support validation of outputs, and contribute to adoption of scalable data solutions across the organization. 
 
 
 
DTS offers excellent compensation package.

Contact

Karun Sharma

Team Lead

Digital Technology Solutions