1

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

Software Engineering Manager

Windsor, WI · On-site +1

$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 ...

Software Engineering Manager

Windsor, WI · On-site +1

$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 ...

Product Manager - Software Medical Devices

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing ...

Product Manager - Software Medical Devices

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing ...

Product Manager - Software Medical Devices

Madison, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing ...

Showing results 41-47

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.

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 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.

Software Engineering Manager

Genus PLC

Windsor, WI • On-site, Remote

$135K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Role Overview

Genus PLC has an exciting opportunity. We are looking for a Software Engineering Manager to lead a multi-domain software team building embedded firmware, HMI/SCADA systems, instrument applications, and cloud-connected mobile/web platforms for cutting-edge agricultural equipment. As part of the Biosystems Engineering R&D organization, you will drive technical vision, team growth, and delivery excellence across a full-stack, AI-infused product portfolio.

The successful candidate is a forward-thinking, strategic leader who thrives at the intersection of real-time systems and modern application development. They rigorously evaluate possibilities, make pragmatic tradeoffs, and maintain a big-picture perspective while driving innovation. This individual brings strong people leadership, takes ownership, and is a clear, influential communicator who builds effective relationships and partnerships across a dynamic, cross-functional, multidisciplinary organization. Energized by harnessing AI to accelerate engineering outcomes, they proactively identify and pursue opportunities to advance innovation within the R&D pipeline.

This is a hybrid role in the Windsor, WI area with a minimum requirement of three (3) days a week on-site. 

The salary range for this position is $135,000 - $160,000 USD. The salary provided is a good faith estimate representative of all experience levels. Genus considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. 

You Will
  • Represent Software Engineering in cross-functional R&D core teams delivering complete instrument and automation products.
  • Lead a software organization spanning embedded firmware, HMI/SCADA, instrument control applications, and mobile/web platforms.
  • Define and own the technical roadmap - architecture, platform strategy, AI integration, and shared services across domains.
  • Partner with senior engineers and product management to translate customer, business, and regulatory requirements into actionable software backlogs and delivery plans.
  • Drive Agile/Scrum execution across multiple workstreams, maintaining clear visibility into status, quality metrics, risks, and deployment readiness.
  • Provide hands-on technical mentorship: performance management, coaching, career development, code review culture, and continuous feedback.
  • Champion an AI-augmented engineering practice - leveraging LLM-assisted development, AI-powered testing, automated code review, and data-driven optimization where appropriate.
  • Own the controlled software deployment lifecycle from lab to production floor, including versioned firmware release, over-the-air updates, and rollback strategies.
  • Build and evolve CI/CD pipelines promoting automation, quality gates, containerized builds, and release-driven deployment across embedded and application stacks.
  • Lead adoption of strategic technologies, modern architectures, and best practices to keep the organization competitive.
  • Ensure compliance with technical standards, regulatory requirements (FDA, IEC 62304, ISO, GDPR/data privacy), security, and safety protocols.
  • Uphold Genus core values, mission, and vision.
Requirements

Basic Qualifications: (required)

  • A University  degree in Computer Science, Electrical Engineering, or a STEM discipline
    • A minimum of 10 years of professional software development experience:
    • A minimum of 3 years leading, managing, and growing teams of software engineers
  • Hands-on experience in at least two of these domains:
    • Embedded systems / firmware / RTOS (C, C++, Rust)
    • HMI / SCADA / industrial automation / PLC integration
    • Web and/or mobile application development (React, Angular, Flutter, etc.)
    • Cloud-connected / IoT instrument applications
    • Instrument control, agricultural technology, or biomedical device industry
  • Agile/Scrum methodology with experience defining "Definition of Done" and delivery ceremonies
  • Proficiency in at least two languages including C/C++ and a modern language (TypeScript/Python/Go/Java)
  • Authorized to work in the U.S. without sponsorship

Preferred Qualifications:

  • Master's degree in a relevant field
  • Experience integrating AI/ML capabilities into products or engineering workflows (LLM tooling, vision systems, predictive analytics, edge AI)
  • Web framework experience: React, Angular, Vue, or equivalent
  • Mobile framework experience: Flutter, React Native, Swift, Kotlin
  • SCADA/industrial protocol experience: Modbus, OPC UA, BACnet, MQTT
  • Real-time operating systems: FreeRTOS, Zephyr, Linux kernel development
  • OT/IT security practices for embedded and connected devices (IEC 62443)
  • CI/CD platforms: GitHub Actions, GitLab CI, Azure DevOps, Jenkins
  • Infrastructure as Code and cloud platforms (AWS, Azure, GCP)
  • Experience with Jira, Confluence, and GIT
  • Track record of building and scaling DevOps/Platform Engineering practices
  • Experience on multi-disciplinary product teams spanning hardware, mechanical, data science, and software
Business Overview

Genus is an agricultural biotechnology pioneer. We are a global FTSE 250 company, headquartered in the UK, and listed on the London Stock Exchange.  Genus PLC has a presence in over 70 countries and a global workforce of over 3,000 employees and growing.  We are a worldwide leader in porcine and bovine animal genetics, partnering with farmers to transform how we nourish the world - a mission that is important to a sustainable future. 

Our vision is clear: Pioneering animal genetic improvement to sustainably nourish the world.

 

ABS Global is a Genus company and is the world-leading provider of bovine genetics, reproductive services, technologies and udder care products.  Marketing in more than 70 countries around the globe, ABS has been at the forefront of animal genetics and technology since its founding in 1941.  We are uniquely positioned as a global player with a dedicated research and development function and an international distribution network.  We breed and distribute the genes of the world's best bulls, scientifically selecting livestock whose offspring is designed to increase the profitability of our customers who are some of the world's biggest farmers and food producers. 

IntelliGen Technologies is the technology within ABS that develops sexed bovine genetics that helps customers maximize their profitability and reach their end goals in a fast and efficient manner.

Benefits Overview

US - At Genus, we offer a competitive salary. Benefits include health, dental, vision, FSA/HSA, long and short-term disability, 401K, tuition reimbursement, paid holidays and ETO (earned time off). This position will provide opportunities for growth.  

Equal Employment Opportunities

Genus is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Genus prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Genus conforms to the spirit as well as to the letter of all applicable laws and regulations.

Recruitment Fraud Warning

Genus plc will never ask you to provide fees or payment for computers, software, or other equipment or supplies during the recruitment and/or onboarding process. If you have any questions about your individual application, please contact the Genus Talent Acquisition team at recruiting@genusplc.com.

Employment Type: FULL_TIME