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Data Analyst Github Jobs in Madison, WI (NOW HIRING)

Senior Analyst, Platform Engineer

Madison, WI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... GitHub Actions, Jenkins, Terraform, etc.). * Prior experience maintaining reusable Helm charts ... Exposure to AI/ML tools, data platforms, agent frameworks, or API management platforms. * Interest ...

Hardware and Software Support Engineer

Middleton, WI ยท On-site

$40K - $50K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

For the more granular data required by public agencies for planning and operations, TrafficCast ... Familiarity with Git, GitHub, Jira, and Agile development methodologies, * Familiarity with ...

Hardware and Software Support Engineer

Middleton, WI ยท On-site

$40K - $50K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

For the more granular data required by public agencies for planning and operations, TrafficCast ... Familiarity with Git, GitHub, Jira, and Agile development methodologies, * Familiarity with ...

Lead Java Software Engineer

Madison, WI ยท Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

OpenSearch/Elasticsearch, log analytics, APM tools * Integrations & Data: Apache Camel, messaging ... Hands-on experience or strong familiarity with AI-assisted coding tools (e.g., GitHub Copilot ...

Lead Java Software Engineer

Denver, CO ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

OpenSearch/Elasticsearch, log analytics, APM tools * Integrations & Data: Apache Camel, messaging ... Hands-on experience or strong familiarity with AI-assisted coding tools (e.g., GitHub Copilot ...

Automation QA

Madison, WI ยท On-site

$45 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong analytical, troubleshooting, and problem-solving skills. Responsibilities: * Own and drive ... Prepare and review test scenarios, test cases, and test data requirements. * Ensure test coverage ...

Software Engineering Manager

Windsor, WI ยท Hybrid

$135K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

GitHub Actions, GitLab CI, Azure DevOps, Jenkins * Infrastructure as Code and cloud platforms (AWS ... Experience on multi-disciplinary product teams spanning hardware, mechanical, data science, and ...

DevOps Cloud Engineer

Middleton, WI ยท Remote

$54.25 - $74.25/hr

Apply best practices for data security, identity and access management (IAM), secrets management ... Excellent analytical, problem-solving, and critical thinking skills. * Strong verbal and written ...

DevOps Cloud Engineer

Middleton, WI ยท Remote

$54.25 - $74.25/hr

Apply best practices for data security, identity and access management (IAM), secrets management ... Excellent analytical, problem-solving, and critical thinking skills. * Strong verbal and written ...

New

DevOps Cloud Engineer

Middleton, WI ยท On-site

$54.25 - $74.25/hr

Apply best practices for data security, identity and access management (IAM), secrets management ... Excellent analytical, problem-solving, and critical thinking skills. * Strong verbal and written ...

Showing results 21-40

Data Analyst Github information

See Madison, WI salary details

$34.3K

$83.3K

$137.1K

How much do data analyst github jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst github in Madison, WI is $83,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 per year, depending on experience, location, and employer.

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.

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 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.

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 job categories do people searching Data Analyst Github jobs in Madison, WI look for?

The top searched job categories for Data Analyst Github jobs in Madison, WI are:

What cities near Madison, WI are hiring for Data Analyst Github jobs?

Cities near Madison, WI with the most Data Analyst Github job openings:

Infographic showing various Data Analyst Github job openings in Madison, WI 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 $80,965 per year, or $38.9 per hour.

Computer Engineer (Sustaining Engineering, Medical Devices)

Stellar IT Group

Madison, WI โ€ข On-site

$92K - $113K/yr

Full-time

Posted 23 days ago


Job description

Overview:
Computer Engineer (Sustaining Engineering, Medical Devices)
Madison, WI (Onsite)
6+ Months (Potentially Extend OR CTH)
Description:
We are seeking an experienced Computer Engineer to support the Sustaining Engineering team responsible for maintaining and improving test systems, automated equipment, and supporting software used in the manufacture of FDA-regulated medical devices for respiratory therapy. This role focuses on test and support systems not directly embedded in the therapeutic device, but which are essential for product verification, production workflows, and device commissioning.
The ideal candidate has strong software engineering skills, hands-on experience with automated test systems, and deep familiarity with regulated environments (FDA 21 CFR Part 820.72, GMP). They will ensure test system reliability, maintain compliance, support cybersecurity controls, and drive continuous improvement across manufacturing support technologies.
Key Responsibilities:
Software Development & Test System Engineering
  • Develop, maintain, and optimize test and automation software using LabVIEW, NI TestStand, and Python.
  • Write efficient and scalable code in Python for backend testing, data processing, and hardware/software integration.
  • Design and implement software solutions that interface with sensors, industrial PCs, DAQ modules, and automated machinery.
  • Assist in developing test frameworks, scripts, and utilities used for software/system validation.
  • Debug complex code and system behavior across Windows 11, industrial PCs, and embedded device interfaces.

Systems Support & Troubleshooting
  • Diagnosing and resolving issues in complex test and measurement systems, including hardware/software interactions and system-level faults.
  • Support enterprise IT systems used for device commissioning, access control, configuration management, and backup/recovery processes.
  • Perform root cause analysis (RCA) on system failures and implement corrective and preventive actions (CAPA).

Cross-Disciplinary Engineering Support
  • Partner with Electrical and Mechanical Engineering teams to investigate complex system behaviors involving hardware-software integration.
  • Analyze ambiguous or intermittent production test issues where failures present in subtle, non-obvious ways to users or operators.
  • Develop software tools, instrumentation scripts, and diagnostic routines to capture hidden failure modes that traditional hardware diagnostics may not detect.
  • Contribute to the creation of advanced test strategies that correlate data across mechanical, electrical, and software subsystems.

Regulatory & Compliance Responsibilities
  • Work within FDA 21 CFR Part 820.72 and applicable GMP quality system requirements.
  • Ensure data integrity, cybersecurity protections, audit trails, and access controls are properly implemented in test systems.
  • Maintain clear, compliant documentation of code, workflows, and validation processes.
  • Participate in risk analysis and support validation/verification activities for test equipment and software tools.

Collaboration & Technical Leadership
  • Collaborate with cross-functional teams including Manufacturing Engineering, Quality, IT Security, and R&D.
  • Translate production and engineering needs into technical requirements for software and test systems.
  • Train users and provide engineering support for manufacturing personnel and test technicians.

Required Qualifications:
  • Bachelor's degree in Computer Engineering, Software Engineering, Electrical Engineering, or related field.
  • Strong proficiency in:
    • LabVIEW
    • Python
    • High-level languages (C++, Java) and associated development environments
    • Scripting languages for automation/test development
  • Experience working with:
    • Windows 11 OS and PC hardware architectures
    • Industrial PCs and automated test hardware
    • GitHub, source control, debuggers, build systems
    • TestStand or similar automated test frameworks
  • Hands-on experience debugging complex embedded or computerized systems.
  • Understanding of the software development lifecycle (SDLC).
  • Experience with root cause analysis, fault isolation, and system troubleshooting.
  • Familiarity with cybersecurity fundamentals related to:
    • Access control
    • Data protection
    • System administration
    • Networked test systems

Preferred Qualifications:
  • Prior experience in a medical device or other FDA-regulated industry.
  • Knowledge of data integrity requirements, ALCOA/ALCOA+ principles, and digital recordkeeping compliance.
  • Experience validating software or equipment under GxP frameworks.
  • Background in test equipment calibration, test method validation, or automated manufacturing tools

Soft Skills:
  • Strong communication and documentation abilities.
  • Detail-oriented with a disciplined approach to working within regulated processes.
  • Ability to manage multiple tasks, prioritize effectively, and collaborate across diverse teams.
  • Problem-solving mindset with a focus on system reliability and continuous improvement.

Organizational Relationship/Scope:
This position operates cross-functionally and collaborates regularly with Product Performance, Complaint Management, Service Support, Device Quality, Post-Market Surveillance, Device Development, and Materials Management, as well as external partners, to address product lifecycle challenges and support new product introductions.
This is an advanced role requiring deep technical understanding of products and therapy across multiple use cases, along with the ability to interpret and balance stakeholder needs. The position serves as a key technical resource, providing guidance, influencing decisions, and driving alignment across functions to ensure effective resolution of complex product issues.
Working Conditions:
This role operates across a range of environments, including office, engineering laboratory, and medical device manufacturing areas, supporting hands-on investigation, testing, and product support activities.
The position requires engagement with both development and production settings to diagnose issues, validate design and process changes, and support ongoing product lifecycle needs.
Domestic and international travel of up to 20% may be required to support manufacturing sites, suppliers, and field issue investigations.
Skills:
LabVIEW,python,c++