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Data Analyst Computer Science Jobs in Macomb, MI

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research) * Minimum of 5 years of experience in analytics, business ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

... hoc data analysis tasks, providing rapid, data-driven insights for immediate business needs ... Master's - Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

... analysis of data collected from real-world evaluation drives; work with vehicle feature and ... Masters - Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining ... Collaborate with data engineers, data scientists, and UX partners as required * Apply feedback and ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Collaborate with data engineers, data scientists, and UX partners as required​ * Apply feedback ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Support business analytics initiatives across SC departments * Facilitate the internal and external data science & AI network * Be a specialist on specific data science fields (e.g. NLP, Computer ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Collaborate with data engineers, data scientists, and UX partners as required​ * Apply feedback ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Macomb, MI

Data Analyst Computer Science information

See Macomb, MI salary details

$32.9K

$80K

$131.6K

How much do data analyst computer science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data analyst computer science in Macomb, MI is $79,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI 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, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What job categories do people searching Data Analyst Computer Science jobs in Macomb, MI look for? The top searched job categories for Data Analyst Computer Science jobs in Macomb, MI are:
What cities near Macomb, MI are hiring for Data Analyst Computer Science jobs? Cities near Macomb, MI with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you
Senior Finance Data Engineer / Data Analyst

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 8 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th 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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