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Data Analyst Training Jobs in Michigan (NOW HIRING)

GM Financial

Sr Data Scientist

Detroit, MI · On-site

Assists in analyzing key metrics and performing data analysis * Builds technical knowledge to ... training, GM employee auto discount, community service pay and nine company holidays. Our Culture:

Select Minds LLC

Data Architect II

Lansing, MI · On-site

$55 - $60/hr

... analytics solutions. Required Skills and Experience - Strong experience architecting MDM and Data ... and user training. - Strong written and verbal communication skills. - Ability to work ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

... training and deployment. * Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics. * Optimize cloud ...

Stafford Gray

Business Analyst

Lansing, MI · On-site

... data integrity requirements. The ideal candidate will bring strong experience in business and ... Develop training materials and conduct end‑user training sessions Requirements Required ...

Stafford Gray

Business Analyst

Lansing, MI · On-site

... data integrity requirements. The ideal candidate will bring strong experience in business and ... Develop training materials and conduct end-user training sessions Requirements Required ...

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All JobsData Analyst Training JobsData Analyst Training Jobs in Michigan

Data Analyst Training information

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How much do data analyst training jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst training 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.

What are the key skills and qualifications needed to thrive in data analyst training, and why are they important?

To excel in Data Analyst Training roles, you typically need a strong background in statistics, data analysis, and proficiency with spreadsheet and visualization tools, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Excel, SQL, Python, and business intelligence platforms, along with data analytics certifications, is highly valued. Strong analytical thinking, attention to detail, effective communication, and problem-solving skills make candidates stand out in this profession. These competencies are essential for accurately interpreting data, presenting actionable insights, and collaborating effectively with diverse stakeholders.

What career growth opportunities are available after completing a data analyst training program or entry-level position?

After completing a Data Analyst Training program or starting in an entry-level data analyst position, professionals often have various pathways for advancement. With experience, you may progress to roles such as Senior Data Analyst, Business Intelligence Analyst, Data Scientist, or Analytics Manager. Gaining expertise in specialized tools, earning additional certifications, and participating in cross-functional projects can further accelerate your career growth. Many organizations also support ongoing training and mentoring, creating opportunities to lead analytics projects or move into more strategic, decision-making roles over time. This dynamic career trajectory is ideal for those eager to continuously develop their technical and analytical skills.

What is a data analyst training?

A Data Analyst Training job is a role designed for individuals looking to develop skills in data analysis through hands-on experience and structured learning. It typically includes training in data visualization, statistical analysis, SQL, Excel, and programming languages like Python or R. This role may be part of an internship, apprenticeship, or entry-level position where candidates work on real-world data projects under supervision. The goal is to prepare trainees for a full-time data analyst role by equipping them with the necessary technical and analytical skills.

What are the most commonly searched types of Data Analyst Training jobs in Michigan? The most popular types of Data Analyst Training jobs in Michigan are:
What are popular job titles related to Data Analyst Training jobs in Michigan? For Data Analyst Training jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analyst Training jobs in Michigan look for? The top searched job categories for Data Analyst Training jobs in Michigan are:
What cities in Michigan are hiring for Data Analyst Training jobs? Cities in Michigan with the most Data Analyst Training job openings:
Data Analyst Training jobs near you
Infographic showing various Data Analyst Training job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Sr Data Scientist

GM Financial

Detroit, MI • On-site

Full-time

Retirement

This job post has expired 6 days ago. Applications are no longer accepted.

GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

76th of 171 rated vehicle equipment hire

Job description


Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Responsibilities
About the Role:
The Senior Data Scientist is responsible for Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing; Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets; Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives; Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Senior Data Scientist is the subject matter expert with an in depth knowledge of quantitative methods and diligent knowledge of data sources and tools.
In this role you will:
  • Provides leadership, coaching, and/or mentoring to Data Scientists I and II
  • Performs research, analysis, and modeling on organizational data
  • Assists in analyzing key metrics and performing data analysis
  • Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
  • Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
  • Presents findings and analysis for use in decision making
  • Ensures that the delivered products meet the business needs of the company
  • Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
  • Prioritizes tasks and meets project deadlines in a fast paced work environment
  • Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
  • Ability to identify and understand business issues and map these issues into quantitative questions
  • Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques.
  • Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
  • Ability to design and implement model documentation and monitoring protocols
  • Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
  • Efficiently work with large datasets
  • Provides leadership, coaching, and/or mentoring to Data Scientists I and II
  • Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
  • Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
  • Ability to identify and seek needed information/research skills
  • Analytical thinking skills
  • Ability to interact collaboratively with internal and external customers
  • Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure

Qualifications
Experience
  • 4+ yrs as a Data Scientist or similar quantitative field required
  • Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required (a combination of education, certifications, and/or work experience may be considered in lieu of an advanced degree)

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office Ft. Worth, TX
This position is not open to agency submissions
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