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Data Analyst Computer Science Jobs in Ypsilanti, MI

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

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 ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, or related field required; Master's preferred * 5+ years of experience in data analytics, compliance, internal audit, or ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, or related field required; Master's preferred * 5+ years of experience in data analytics, compliance, internal audit, or ...

Masco Corporation

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Bachelor's degree or equivalent experience in Data Analytics, Business, Finance, Supply Chain, Statistics, Computer Science, or related field * Basic skills in analytical tools such as Excel and ...

HCLTech

Data Analyst

Farmington Hills, MI

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and ...

Orbotech

Aftermarket Business Data Analyst

Ann Arbor, MI · On-site

$77K - $132K/yr

Bachelor's degree in Computer Science, Statistics, Data Analytics, or a related field with 5+ years of relevant experience OR * Master's degree in a related field with 3+ years of relevant experience.

Conclusive Marketing

Senior Data Analyst

Dearborn, MI

$79K - $99K/yr

Bachelor's or advanced degree in Statistics, Mathematics, Data Science, Econometrics, Computer Science, Analytics, Finance, or a related field. * Solid understanding of at least one core analytics ...

OneMagnify

Senior Data Analyst

Dearborn, MI · On-site

$90 - $120/hr

Bachelor's or advanced degree in Statistics, Mathematics, Data Science, Econometrics, Computer Science, Analytics, Finance, or a related field. * Solid understanding of at least one core analytics ...

New

OneMagnify

Senior Data Analyst

Dearborn, MI · On-site

$79K - $99K/yr

Bachelor's or advanced degree in Statistics, Mathematics, Data Science, Econometrics, Computer Science, Analytics, Finance, or a related field. * Solid understanding of at least one core analytics ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science and Business Analytics, Computer Science, Industrial Engineering, or a related field and 4 years of experience in the job offered or a related ...

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$30.7K

$74.7K

$122.9K

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

As of Aug 29, 2026, the average yearly pay for data analyst computer science in Ypsilanti, MI is $74,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $87,700.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

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.

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 problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near Ypsilanti, MI are hiring for Data Analyst Computer Science jobs?

Cities near Ypsilanti, MI with the most Data Analyst Computer Science job openings:

Data Analyst Computer Science jobs near you

Data Analyst III

AAA Life Insurance Company

Livonia, MI • On-site

$90 - $120/hr

Other

Re-posted 13 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.
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