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Data Analyst Github Jobs in Wisconsin (NOW HIRING)

Rivi Consulting Group

Java Software emgineer

Green Bay, WI · On-site

$50.25 - $69/hr

CI/CD & DevOps: * * GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD ... Data Science & Analytics: * * Experience with data analysis techniques. * Knowledge of Machine ...

Cloud BC Labs

IICS Architect

Milwaukee, WI · On-site

Work closely with Data Architects, Business Analysts, and application teams to understand ... Terraform * Git/GitHub * Jenkins * CI/CD pipelines * Agile/Scrum methodology Qualifications

Bakertilly

Associate Data Engineer

Madison, WI · On-site

$85K - $162K/yr

You'll collaborate with solution architects, analysts, and client stakeholders while sharpening ... s or GitHub. * Client Delivery: Gather requirements, demo iterative deliverables, document ...

Bakertilly

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

You'll collaborate with solution architects, analysts, and client stakeholders while sharpening ... s or GitHub. * Client Delivery: Gather requirements, demo iterative deliverables, document ...

Wisconsin

O'Connor Lab Software Developer

Madison, WI · On-site

Lungfish integrates environmental monitoring data, analytical pipelines, and scientific reporting ... as GitHub. The role will also involve using agentic AI assistance to accelerate software ...

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Showing results 21-40

All JobsData Analyst Github JobsData Analyst Github Jobs in Wisconsin

Data Analyst Github information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data analyst github jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst github in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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 Wisconsin?

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

What job categories do people searching Data Analyst Github jobs in Wisconsin look for?

The top searched job categories for Data Analyst Github jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Analyst Github jobs?

Cities in Wisconsin with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Senior Data Platform Engineer

Johnson Controls

Milwaukee, WI • On-site

$100K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 409 frontline employees who took The Breakroom Quiz

136th of 540 rated manufacturers

Job description

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.


For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycleservicesand an industry-leading field organization, we elevate customer performance, turn goals into real-worldresultsand help move society forward.

What we offer:

  • Competitive salary

  • Paid vacation/holidays/sick time

  • Comprehensive benefits package including 401K, medical, dental, and vision care

  • On the job/cross training opportunities

  • Encouraging and collaborative team environment

  • Dedication to safety through our Zero Harm policy

Role Summary

Johnson Controls Inc. are seeking aSenior Data Platform Engineerto design and operate a secure, scalable data platform that powers Workforce Analytics.

This role is focused onenabling high-quality, governed data consumption in Snowflake, with a strong emphasis onsecure access patterns for humans, applications, and AI-driven tools.

In addition, this role willown and evolve the Posit (RStudio) platform, ensuring data scientists and advanced analysts have a seamless, secure, and performant environment for developing and operationalizing analytical workflows.

You will work across Data Engineering, Analytics, and Data Integration to ensure data istrusted, protected, and easily consumable across modern use cases.

Key Responsibilities

Secure Consumption Enablement

  • Design and maturesecure data access patterns in Snowflakefor:

  • Analysts and business users

  • Applications and downstream integrations

  • AI/ML tools and agent-based consumers

  • Implement and evolveRBAC / policy-based access models

  • Define patterns forleast-privilegeaccess, scoped datasets, and governed sharing

  • Ensure secure handling ofPII and sensitive workforce data

  • Partner with security and governance teams onauditability and compliance

  • Anticipate future access patterns driven byAI and automation

Snowflake Platform & Data Optimization

  • Own and optimize theSnowflake platform(performance, compute strategy, cost management)

  • Design best practices fordata organization, modeling layers, and access structures

  • Enable scalable and governed data domains for Workforce Analytics

Posit Platform Ownership (R / Data Science Enablement)

  • Own and manage thePosit (RStudio) platformfor Workforce Analytics

  • Ensure secure, performant connectivity betweenPosit and Snowflake

  • Enable best practices for:

  • Data access within R environments

  • Package and environment management

  • Reproducibility and version control

  • Support operationalization ofPython & R-based analytics, models, and workflows

  • Partner with data scientists and advanced analysts to improve platform usability

  • Establish patterns forgoverned, scalable analytical development

Transformation & Pipeline Enablement

  • Partner with Data Engineers toproductionizepipelines usingCoalesce.io

  • Define standards formodular, reusable, and testable transformation logic

  • Improve pipeline reliability and maintainability

Data Reliability & Quality

  • Implement and enforcedata quality checks and validation frameworks

  • Ensure reliability of critical workforce datasets (headcount, attrition, recruiting)

  • Troubleshoot data issues with strong lineage awareness

CI/CD for Data Workflows

  • Build and maintain CI/CD pipelines fordata transformations and platform changes

  • Integrate workflows usingAzure DevOps / GitHub

  • Enable consistent deployment practices across environments

Data Developer Experience

  • Improve platform usability for engineers, analysts, and data scientists

  • Create reusable templates and patterns across:

  • Snowflake

  • Coalesce

  • Posit workflows

  • Reduce friction while maintaining governance

Required Qualifications

  • 5+ years indata engineering or data platform engineering

  • Deep experience withSnowflake, including performance tuning and access control

  • Strong SQL and experience working with complex data systems

  • Experience withdata transformation tools(Coalesce.io,dbt, or similar)

  • Experience designingdata access and security models

  • Experience supporting or working withR / Posit (RStudio) environments

Preferred Qualifications

  • Experience enablingdata science platforms or analytical environments

  • Exposure toWorkforce / HR data and PII governance

  • Experience supportingmulti-modal consumption (BI, APIs, AI/ML tools)

  • Familiarity with Azure ecosystem

  • Experience with data quality and observability tooling

HIRING SALARY RANGE: $100,000-145,000 (Salary to be determined by the education, experience,knowledge, skills, and abilities of the applicant, internal equity, and alignment with marketdata.) This role offers a competitive Bonus plan that will take into account individual, group,and corporate performance. This position includes a competitive benefits package. Theposted salary range reflects the target compensation for this role. However, we recognizethat exceptional candidates may bring unique skills and experiences that exceed the typicalprofile. If you believe your background warrants consideration beyond the stated range, weencourage you to apply. To support an efficient and fair hiring process, we may usetechnology assisted tools, including artificial intelligence (AI), to help identify and evaluatecandidates. All hiring decisions are ultimately made by human reviewers. For details, pleasevisit the About Us tab on the Johnson Controls Careers site athttps://jobs.johnsoncontrols.com/about-us

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

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About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

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