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

Data Engineer

Chicago, IL · On-site

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA ... Understanding of CI/CD tools and practices, ideally including Cloud Build , GitHub Actions , or ...

Manager, Data Engineering

Chicago, IL · On-site

$150 - $200/hr

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 ...

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 ...

Manager, Data Engineering

Chicago, IL · 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 ...

Data Engineering Intern

Chicago, IL · On-site

$31 - $45/hr

SUMMARY As a Data Engineering Intern, you will gain hands-on experience ingesting data into big ... analytical problem-solving ability Strong working knowledge of Python, PySpark, SQL, GitHub and ...

New

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

... support analytics and reporting use cases Engineer solutions using technologies such as PySpark ... data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

... to support analytics and reporting use cases • Engineer solutions using technologies such as ... GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.) • ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

... to support analytics and reporting use cases * Engineer solutions using technologies such as ... data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.

Data Engineer

Chicago, IL · Hybrid

$100K - $115K/yr

Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub Actions. * Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are ...

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub Actions. * Partner with data scientists and analysts to model data in Snowflake, ensuring datasets are ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Write advanced SQL queries for transformation, validation, and analytics. * Develop scalable data ... Experience with CI/CD tools (e.g., GitHub Actions, Cloud Build, Jenkins). * Understanding of data ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

They work alongside engineers, analysts and developers to deliver scalable robust innovative ... tools such as GitHub/Bitbucket, Jenkins, Docker, shell scripting, and other DevOps tools.

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Leverage AI-assisted development tools such as GitHub Copilot and other modern engineering ... Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a ...

GCP Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Leverage AI-assisted development tools such as GitHub Copilot and other modern engineering ... Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a ...

Showing results 41-60

Data Analyst Github information

See Aurora, IL salary details

$33.7K

$81.9K

$134.8K

How much do data analyst github jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst github in Aurora, IL is $81,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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.

What are popular job titles related to Data Analyst Github jobs in Aurora, IL?

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

What job categories do people searching Data Analyst Github jobs in Aurora, IL look for?

The top searched job categories for Data Analyst Github jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Data Analyst Github jobs?

Cities near Aurora, IL with the most Data Analyst Github job openings:

Infographic showing various Data Analyst Github job openings in Aurora, IL as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 7% Part Time, 6% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,932 per year, or $39.4 per hour.

$105K - $126K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


HUB International rating

8.0

Company rating: 8.0 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

173rd of 315 rated insurance


Job description

Job Description
ABOUT US
At HUB International, we are a team of entrepreneurs. We believe in protecting and supporting the aspirations of individuals, families, and businesses. We help our clients evaluate their risks and develop solutions tailored to their needs. We believe in empowering our employees to learn, grow, and make a difference. Our structure enables our teams to maintain their own unique, regional culture while leveraging support and resources from our corporate centers of excellence.
HUB is a global insurance and employee benefits broker, providing a boundaryless array of business insurance, employee benefits, risk services, personal insurance, retirement, and private wealth management products and services. With over $5 billion in revenue and almost 20,000 employees in 600 offices throughout North America, HUB has grown substantially, in part due to our industry leading success in mergers and acquisitions.
Position Summary
We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable advanced analytics across the enterprise. You'll play a critical part in modernizing our data platform, migrating from legacy systems, and delivering scalable, high-quality solutions powered by Google Cloud Platform (GCP) and infrastructure-as-code tools like Terraform.
Key Responsibilities
  • Develop, and support scalable data models and ETL/ELT pipelines using GCP technologies.
  • Build and optimize cloud-native data solutions leveraging BigQuery, Dataform, Cloud Composer, Cloud Run, Cloud Functions, and Cloud Storage.
  • Contribute to machine learning and data science initiatives through integrations with Vertex AI and Cloud Notebooks.
  • Establish and maintain data quality and validation rules to ensure trust in enterprise data assets.
  • Document data pipelines, architecture, and Terraform modules to support team transparency and maintainability.
  • Coordinate migrations and deployments across environments (Development, UAT, Staging, Production) using modern CI/CD practices.
  • Collaborate cross-functionally within Agile/Scrum teams to deliver data solutions aligned with business needs.
  • Provide production support and performance tuning for data systems in GCP.

Qualifications
  • 4-8 years of progressive experience in data engineering, analytics infrastructure, or a related field.
  • Experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataform, Cloud Composer, Cloud Functions, and Cloud Run.
  • Knowledge of SQL, data modeling (star/snowflake), and modern ELT pipeline development.
  • Hands-on experience with Python and other data transformation frameworks.
  • Familiarity with Vertex AI, Cloud Notebooks, or similar ML platforms.
  • Understanding of CI/CD tools and practices, ideally including Cloud Build, GitHub Actions, or Terraform Cloud.
  • Experience with data visualization platforms such as Looker, Looker Studio, or similar BI tools.
  • Understanding of data governance, metadata management, and lineage using tools like Dataplex.
  • Excellent verbal and written communication skills, with the ability to explain complex technical topics to business stakeholders.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
  • Certifications such as Google Cloud Professional Data Engineer, Cloud Architect, or HashiCorp Terraform Associate are preferred.
  • Ability to thrive in a fast-paced environment with shifting priorities and global collaboration.
  • Willingness to occasionally work non-standard hours for critical deployments or support.

JOIN OUR TEAM
Do you believe in the power of innovation, collaboration, and transformation? Do you thrive in a supportive and client focused work environment? Are you looking for an opportunity to help build and drive change in a rapidly growing and evolving organization? When you join HUB International, you will be part of a community of learners and doers focused on our Core Values: entrepreneurship, teamwork, integrity, accountability, and service.
The expected salary range for this position is $105,000 to $126,000 and will be impacted by factors such as the successful candidate's skills, experience and working location, as well as the specific position's business line, scope and level. HUB International is proud to offer comprehensive benefit and total compensation packages which could include health/dental/vision/life/disability insurance, FSA, HAS and 401(k) accounts, paid-time-off benefits such as vacation, sick, personal, floating holidays and company holidays. In addition, eligible annual bonuses, equity and commissions may be available for some positions.
Department Information Technology
Required Experience: 2-5 years of relevant experience
Required Travel: Negligible
Required Education: Bachelor's degree (4-year degree)
HUB International Limited is an equal opportunity employer that does not discriminate on the basis of race/ethnicity, national origin, religion, age, color, sex, sexual orientation, gender identity, disability or veteran's status, or any other characteristic protected by local, state or federal laws, rules or regulations.
E-Verify Program
We endeavor to make this website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the recruiting team HUBRecruiting@hubinternational.com. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

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