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Data Analyst Github Jobs in Waterloo, IL (NOW HIRING)

Lead Platform Engineer

Saint Louis, MO

$99K - $131K/yr

... AI-assisted analysis and automation - turning data and insights into better infrastructure ... Git/GitHub mastery: deep expertise in workflows, branching strategies, code review processes, and ...

Lead Platform Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

... AI-assisted analysis and automation - turning data and insights into better infrastructure ... Git/GitHub mastery: deep expertise in workflows, branching strategies, code review processes, and ...

Lead Platform Engineer

Saint Louis, MO

$99K - $131K/yr

... AI-assisted analysis and automation - turning data and insights into better infrastructure ... Git/GitHub mastery: deep expertise in workflows, branching strategies, code review processes, and ...

Lead Platform Engineer

Saint Louis, MO

$99K - $131K/yr

... AI-assisted analysis and automation - turning data and insights into better infrastructure ... Git/GitHub mastery: deep expertise in workflows, branching strategies, code review processes, and ...

AI Engineering Lead

Columbia, IL · On-site

$110K - $150K/yr

Columbia Illinois-Inline Data Systems- (Hybrid, 4 DAYS in the office 1 DAY from home after ... Provide real-time agent assistance during calls, including live transcription, sentiment analysis ...

... data leakage. * Strong analytical and problem-solving skills with the ability to identify and ... Experience in cloud platforms, AWS, Github. * Experience with application security tooling; SAST ...

AI-Application Security Engineer

Saint Louis, MO · On-site

$57 - $76.25/hr

... data leakage. * Strong analytical and problem-solving skills with the ability to identify and ... Experience in cloud platforms, AWS, Github. * Experience with application security tooling; SAST ...

... data leakage. * Strong analytical and problem-solving skills with the ability to identify and ... Experience in cloud platforms, AWS, Github. * Experience with application security tooling; SAST ...

Showing results 41-60

Data Analyst Github information

See Waterloo, IL salary details

$31.5K

$76.5K

$126K

How much do data analyst github jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst github in Waterloo, IL is $76,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,800.00 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 Waterloo, IL look for? The top searched job categories for Data Analyst Github jobs in Waterloo, IL are:
What cities near Waterloo, IL are hiring for Data Analyst Github jobs? Cities near Waterloo, IL with the most Data Analyst Github job openings:

Software Engineer - Intermediate

Equifax, Inc.

Saint Louis, MO • On-site

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is seeking creative, high-energy, and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, AI-augmented, and enthusiastic software engineer who is passionate about leveraging modern tools to accelerate delivery and solve complex problems.
To adhere to our corporate location policies, this resource will be required to be local to the surrounding St.Louis, MO . You are required to adhere to our Return To Office (RTO) / weekly onsite requirements (Tuesday, Wednesday, and Thursday).
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you will do
  • Perform general application development activities, including unit testing, code deployment to development environment, and technical documentation. Leverage AI-assisted coding tools (e.g., GitHub Copilot) to optimize development velocity and code quality.
  • Participates in estimation process, use case specifications, reviews of test plans and test cases, requirements, and project planning. Diagnose and resolve performance issues.
  • Documents code/processes so that any other developer is able to dive in with minimal effort.
  • Develop, and operate high-scale applications from the backend to UI layer, focusing on operational excellence, security, and scalability.
  • Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
  • Actively explore and advocate for the integration of generative AI and automation tools into the team's daily workflows to eliminate repetitive tasks.
  • Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit engineering team employing agile software development practices.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
  • Able to write, debug, and troubleshoot code in mainstream open-source technologies. Lead effort for Sprint deliverables, and solve problems with medium complexity.

What experience you need
  • Bachelor's degree or equivalent experience.
  • 2+ years experience working with software design and Java, Python, and Javascript programming languages.
  • Experience integrating AI development accelerators/LLM tools into your daily coding, debugging, and testing workflows.
  • 2+ years experience with software build management tools like Maven or Gradle.
  • 2+ years experience with HTML, CSS, and frontend/web development.
  • 2+ years experience with software testing, performance, and quality engineering techniques and strategies.
  • 2+ years experience with Cloud technology: GCP, AWS, or Azure

What could set you apart
  • AI-Augmented Developer: Proven track record of using generative AI tools to safely accelerate code generation, automate documentation, and optimize legacy refactoring while maintaining strict data security and code integrity guidelines.
  • Quality-First Engineer: Owns product outcomes end-to-end; expert at measuring and upholding high-quality standards across QA, UAT, and PROD using automated QE tools and JUnit.
  • Java Specialist: Advanced development in Java 17, SpringBoot, and Microservices/SOA, managing source control via Git/GitHub and builds through Maven/Gradle.
  • Independent Agile Practitioner: Self-directed contributor experienced in navigating priority shifts with minimal supervision within CI/CD (Jenkins) and Atlassian ecosystems.
  • Cloud & Innovation Forward: Cloud-ready professional (GCP/AWS/Azure Certification preferred) with a passion for staying ahead of emerging tech trends and modernizing software delivery models.

#LI-Hybrid
#LI-ES1
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-St. Louis-Lackland
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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