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Data Analyst Computer Science Jobs in Rochester Hills, MI

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

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

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

... analytics in a business setting * Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries

Rock Connections

Data Scientist

Detroit, MI

... analytics in a business setting * Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

... 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 Vision, Time ...

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$31.3K

$76.1K

$125.2K

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

As of Jun 18, 2026, the average yearly pay for data analyst computer science in Rochester Hills, MI is $76,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

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.
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Data Analyst Computer Science jobs near you
Data Governance Analyst

Data Governance Analyst

Renaissance Partners

Dearborn, MI • On-site

Contractor

Posted 5 days ago

Job description

Company Description
Renaissance Partners is a NYC based recruiting firm and trusted adviser to leading companies in the financial services, technology, retail and healthcare industries.
Job Description
As a Data Governance Analyst with a leading design and manufacturing company you will work across all areas of the company to ensure data quality, data management, data policies and risk management. In addition you will ensure data is profiled to identify data attributes for security, understand content and opportunities to improve it with standards. You will also work with various stakeholders to make recommendations to improve data quality, data standardization and data transformation.
Responsibilities:
  • Data usage/data management/data protection including.
  • Perform data profiling of sources to assess data quality and work on mitigation strategies and cleansing solutions.
  • Populate Metadata content and associate terms in the Business Glossary to develop the Informatica Enterprise Data Catalog.
  • Resolve data issues in the appropriate forums and work cross functionally to develop solutions.
  • Collaborate with Data, Analytics and IT teams and guide them on data standards and the use of Informatica tools.
  • Identify relationships in data to assist in providing insights.
  • Establish repeatable, sustainable processes to maintain data and metadata.
  • Understand company and regulatory guidelines regarding data privacy, usage and retention (PII, GDPR, SPII).
  • Deliver training and communications for new Informatica capability and Data Governance processes.
  • Automate solutions to enable data protection for inter-related systems data.
  • Utilize skills in Informatica Software: Data Quality, Profiling and Data. Management tools, SQL and Data discovery techniques.

Qualifications
Required:
  • 8 + years of progressive responsibilities in Data Integration/Data Management
  • Informatica experience including: Analyzer, MDM, EIC, EDL, EDC, BDM, IDQ, PowerCenter
  • Skills in Java, NoSQL, HADOOP, IBM Data Stage/Quality Stage.
  • Data Management tools, SQL and Data discovery techniques.
  • Bachelor's Degree in Computer Science, Statistics, Finance or a related technical field.

Preferred:
  • Knowledge of Application Development Lifecycle.
  • Strong collaboration and communications skills, ability to engage with others.
  • Ability to resolve complex problems and break them down to create and implement an action plan.
  • Ability to lead data related project activities.
  • Self-Starter who can work in ambiguous situations and drive to a solution.
  • Strong organizational skills and ability to advance multiple work streams concurrently.
  • Ability to work within analytical frameworks in a Big Data environment (Data Lake, EDW, Data Warehouse architectures.

Additional Information
This is a contract position.

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