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

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Advanced knowledge of SQL for data transformation, analysis, and performance tuning. • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Advanced knowledge of SQL for data transformation, analysis, and performance tuning. * DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and develop analytical tools, algorithms, and programs to support data engineering ... and GitHub Copilot, to improve developer productivity. * Knowledge of Agentic AI concepts ...

Stefanini

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... GitHub Copilot, to improve developer productivity. Knowledge of Agentic AI concepts, including AI ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Streamline development workflows by implementing and maintaining GitHub Actions for automated ...

FastTek

Insights Analyst

Troy, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... for data analysis and manipulation -- this is a hard requirement * Hands-on Tableau experience building dashboards for real stakeholders -- this is a hard requirement * Experience with GitHub for ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... GitHub Copilot, to improve developer productivity.Knowledge of Agentic AI concepts, including AI ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... Experience with GitHub, Google Cloud Platform, Big Query, Python, Machine Learning. Experience ...

Reply

Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ...

Ford Motor Company

Data Engineer

Dearborn, MI

$105K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery ... REST APIs for compute, storage, operations, and security. * DevOps tools such as Tekton, GitHub ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Detroit, MI

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 are popular job titles related to Data Analyst Github jobs in Detroit, MI?

For Data Analyst Github jobs in Detroit, MI, the most frequently searched job titles are:

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:

Data Analyst Github jobs near you
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.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 13 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Job Summary:
Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time, ensuring scalable and reliable data architecture.
Responsibilities:
• Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
• Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
• Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
• CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
• Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
• Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.
Qualifications:
Required:
• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
• 5+ years of experience in the data engineering and software development life cycle.
• 4+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
• 4+ years of hands-on experience working with AWS cloud services
• Comprehensive experience with one or more programming languages such as Python, Java, or Rust
• Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
• Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
• Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
• Experience with designing and implementing real-time pipelines
• Experience with data quality and validation
• Experience with API design
• Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
• Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
• SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
• DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
• Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying 'Clean Code' principles to data engineering.
• Stream Processing: Experience with Apache Flink for low-latency stream processing.
• Scripting: Proficiency in Python for automation, data analysis, or scripting.
• Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
• Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.
Preferred:
• Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
• Expert knowledge and experience with custom ETL design, implementation and maintenance
• Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
• Certification in AWS or other cloud providers
• Experience with Databricks notebook workflows
• Experience with Terraform
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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