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Data Analyst Computer Science Jobs in Detroit, MI

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 ...

Magna Seating of America is seeking a data-driven Data Scientist / Data Analyst to modernize automotive purchasing by transforming legacy, manual processes into AI-enabled, scalable workflows. Key ...

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 ...

Data Scientist

Dearborn, MI · On-site +1

$66K - $186K/yr

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. You'll have... Bachelor's degree or foreign equivalent in Computer Science, Data Science or ...

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 ...

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 ...

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 ...

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 ...

We have a job opportunity of a Role BI Data Analyst with given on W2 . Please forward updated ... Partner with Data Engineering, Data Science and Data Management teams to improve data completeness ...

Provides highly technical and analytical assessments of business priorities to senior leadership ... D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science ...

This individual will partner with the senior data scientist, business owners, database developers, and strategy partners in crafting comprehensive analysis. * You will be reporting on performance ...

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Showing results 1-20

Data Analyst Computer Science information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

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 Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 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 are popular job titles related to Data Analyst Computer Science jobs in Detroit, MI? For Data Analyst Computer Science jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Detroit, MI look for? The top searched job categories for Data Analyst Computer Science jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Analyst Computer Science jobs? Cities near Detroit, MI with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Detroit, MI as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.
ICT Data & AI Business Analyst

ICT Data & AI Business Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 5 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

Role Summary
The Data & AI Business Analyst drives the discovery, analysis, and translation of business needs into actionable requirements, with a strong emphasis on data analytics, process optimization, and cross-functional collaboration. This role requirement-gathering efforts, shapes analytical solutions, and ensures that data-driven insights inform strategic and operational decisions. The position serves as a bridge between business stakeholders, data teams, and technology partners to deliver high-quality, scalable solutions.
Key Responsibilities
Requirements Gathering & Solution Definition
  • Lead end-to-end requirements elicitation through workshops, interviews, process mapping, and data exploration.
  • Translate business needs into clear, concise functional and non-functional requirements, user stories, acceptance criteria, and process flows.
  • Facilitate alignment sessions with stakeholders to validate requirements and ensure shared understanding.
  • Evaluate business processes and identify opportunities for automation, optimization, and improved data utilization.

Data Analytics & Insights
  • Partner with data engineering, BI, and analytics teams to define data requirements, metrics, KPIs, and reporting structures.
  • Analyze complex datasets to identify trends, gaps, and opportunities that inform business strategy.
  • Support the design and validation of dashboards, analytical models, and data pipelines.
  • Ensure data quality, governance, and consistency across analytical solutions.

Stakeholder Communication
  • Liaison between business units, technical teams, and leadership.
  • Present findings, recommendations, and solution options to stakeholders in a clear, data-driven manner.
  • Manage stakeholder expectations, dependencies, and priorities across multiple initiatives.
  • Mentor junior analysts and contribute to BA practice development.

Project & Delivery Support
  • Collaborate with project managers, product owners, and technical leads to define scope, timelines, and delivery plans.
  • Support backlog refinement, sprint planning, and release readiness activities.
  • Conduct impact assessments, risk analysis, and change-readiness evaluations.
  • Validate solutions through testing support, UAT coordination, and post-implementation reviews.

Required Qualifications
  • Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, or a related field
  • Minimum 4 years of experience as a Business Analyst, Data Analyst, or similar role
  • Strong proficiency in data analysis tools (e.g., SQL, Excel, Power BI, Tableau).
  • Strong understanding of SAP configuration, master data, and business process flow.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience
  • Demonstrated experience gathering and documenting complex requirements for data driven solutions.
  • Solid understanding of data modeling, data governance, and analytics workflows.
  • Experience working in Agile environments and writing user stories.
  • Excellent communication, facilitation, and stakeholder management skills.

Preferred Qualifications
  • Experience with cloud data platforms (e.g., Azure, AWS, SQL).
  • Background in process improvement methodologies (Agile, Lean, Six Sigma).
  • Familiarity with API integrations, data engineering, data visualization, data pipelines, and enterprise data architecture.
  • Industry experience in finance, healthcare, retail, or technology.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience

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