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Data Analyst Github Jobs in Detroit, MI (NOW HIRING)

Data Engineer

Dearborn, MI

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... GitHub, Google Cloud Platform, Big Query, Python, Machine Learning Skills Preferred: * ALGORITHMS ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering ... GitHub Copilot. * Knowledge of Agentic AI concepts, including AI agents, autonomous workflows ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering ... and GitHub Copilot. Knowledge of Agentic AI concepts, including AI agents, autonomous workflows ...

Analytics as Code: Experience with version control (e.g., Git, GitHub) and working in environments ... You view data integration as a puzzle to be solved and a strategic enabler for the business. Even ...

... Analytics and Data Product Development with a strong focus on designing, developing, and ... GitHub for source code management. 5. Implementing Infrastructure as Code using Terraform to ...

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ... Demonstrated CI/CD experience using GitHub and GitHub Actions * Experience with data replication ...

Showing results 21-40

Data Analyst Github information

See Detroit, MI salary details

$31.1K

$75.6K

$124.4K

How much do data analyst github jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst github in Detroit, MI is $75,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $88,800.00 per year, depending on experience, location, and employer.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

Is GitHub good for data analysts?

GitHub is a valuable tool for data analysts as it facilitates version control, collaboration, and sharing of data projects and code. Many data analysts use GitHub to showcase their work, collaborate with teams, and manage project documentation, often integrating it with tools like Jupyter notebooks and data visualization libraries.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What job categories do people searching Data Analyst Github jobs in Detroit, MI look for?

The top searched job categories for Data Analyst Github jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Data Analyst Github jobs?

Cities near Detroit, MI with the most Data Analyst Github job openings:

Infographic showing various Data Analyst Github job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.

AI/ML Data Scientist (GPSSC)

General Motors

Warren, MI • On-site

Full-time

Re-posted 17 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,279 frontline employees who took The Breakroom Quiz


Job description

Job Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
The Role
Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning.
This role requires programming and statistical techniques to solve complex problems and work within a team framework on new AI/ML solutions.
If you're passionate about driving innovation through AI/ML and have experienced delivering solutions to your customers, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment.
As an AI/ML Data Scientist, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, work with ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions and Agentic AI solutions.
What You'll Do
  • Work with our existing business partners to identify opportunities for new AI/ML solutions to enhance processes and enable our team members to be more efficient
  • Train new machine learning models to solve complex business problems.
  • Prototype new AI solutions, including Generative AI, to solve business problems.
  • Develop new Agentic AI solutions to streamline business process
  • Ehnance existing model solutions as business and technology continues to evolve
  • Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.
  • Build statistical models that depict company-wide trends.
  • Perform testing and validation of data sets.
  • Work on and refine storytelling skills to convey ideas and results to leadership, customers and stakeholders

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in machine learning, engineering, data science, or a related field
  • Looking for experience in the following:
    • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
    • Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
    • Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
    • Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )
    • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
    • Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy
  • Proven track record delivering AI/ML solutions to customers that get continued usage and drive value
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment
  • Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)
  • Deep knowledge of GM's Data Ecosystem
  • Deep knowledge of GM's Cloud Technology Stack for Data Science
  • Deep knowledge of Global Product Safety's SFI Process
  • Extensive NLP solutions from business problem statement to deployment and ongoing optimization
  • Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value
  • Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908