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

Position Overview The Billing Operations Analyst serves as the primary technical and data partner ... Demonstrated experience leveraging AI coding tools (e.g., GitHub Copilot, Claude Code, Cursor ...

Description Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture ... such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics ...

Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a ... such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics ...

Description Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture ... such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics ...

Data Modeler (P&C Insurance)

Chicago, IL · On-site

$56.50 - $73.25/hr

Perform data quality analysis and propose solutions to identified issues * Guide product teams in ... Experience with database technologies such as GCP Big Query, PostgreSQL, IICS, Composer, Github etc.

Lead Data Engineer - Hybrid

Chicago, IL · Hybrid

$117K - $175K/yr

You should also have experience in data analysis, requirements gathering, data modeling, and ... Experience with version control, CI/CD pipelines, and DevOps tools such as GitHub, Jenkins, Nexus ...

Lead Data Engineer - Hybrid

Chicago, IL · Hybrid

$117K - $175K/yr

You should also have experience in data analysis, requirements gathering, data modeling, and ... Experience with version control, CI/CD pipelines, and DevOps tools such as GitHub, Jenkins, Nexus ...

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

... analysis (K-means, hierarchical) for audience or brand segmentation. * Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake architecture. * GitHub and ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

... analysis (K-means, hierarchical) for audience or brand segmentation. * Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake architecture. * GitHub and ...

Data Engineer

Chicago, IL

$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 ...

Data Scientist

Chicago, IL · On-site

$125 - $150/hr

Cluster analysis (K-means, hierarchical) for audience or brand segmentation.* Python, R, SQL, Tableau and Power BI.* Cloud environments including: AWS, Azure, and GCP Data Lake architecture.* GitHub ...

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 ...

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

Lead Data Scientist

Chicago, IL · On-site

$144K - $198K/yr

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 ...

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 ...

Showing results 41-60

Data Analyst Github information

See Lombard, IL salary details

$33.5K

$81.3K

$133.8K

How much do data analyst github jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst github in Lombard, IL is $81,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,500.00 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 job categories do people searching Data Analyst Github jobs in Lombard, IL look for?

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

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

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

Infographic showing various Data Analyst Github job openings in Lombard, IL as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,325 per year, or $39.1 per hour.

Billing Operations Analyst

Advyzon

Lisle, IL • On-site

$60 - $80/hr

Other

Posted 17 days ago


Job description

Position Overview

The Billing Operations Analyst serves as the primary technical and data partner to the Billing Operations Specialist within Advyzon Investment Management. While the Specialist drives operational execution, fee calculations, and partner reconciliations, the Billing Operations Analyst bridges the gap between daily operations and software engineering.

This hands-on technical role is responsible for maintaining and enhancing custom billing applications, building direct data pipelines across PostgreSQL databases, and developing user-facing interfaces to automate billing workflows. By leveraging a tech stack that includes Vue.js, Ruby on Rails, C# .NET, and PostgreSQL, the Analyst ensures operational efficiency, system reliability, and robust data integrity across multi-custodian workflows.

Key Responsibilities
  • Technical Partnership & Workflow Automation: Partner directly with the Billing Operations Specialist to identify manual friction points, map billing logic, and engineer scalable system fixes and automation scripts.
  • Full-Stack Application Support & Development: Maintain and enhance internal billing tools and UI features using Vue.js, backend microservices and APIs in Ruby on Rails and C# .NET.
  • Database Architecture & Data Analytics: Write, optimize, and maintain complex PostgreSQL queries, scripts, and views to process high-volume custodial data, perform automated fee reconciliations, and research systemic data discrepancies.
  • Integrations & Custodian Data Pipelines: Build and support data ingestion pipelines and API connections for multi-custodian fee files, payment instructions, and account metadata.
  • System Testing & QA Validation: Design and execute technical test plans for new billing feature releases, backend algorithm changes, prorations, and system integrations to guarantee zero calculation errors in production.
  • Process Improvement & Tooling: Champion the adoption of modern software patterns, automation, and AI-driven tools to enhance data validation, exception monitoring, and audit tracking.
  • Cross-Functional Technical Coordination: Act as the technical liaison between Operations, Finance, Product, and Core Software Engineering teams to translate complex business rules into technical architecture specifications.
Qualifications Technical Skills:
  • AI-Assisted Development & Productivity Tools: Demonstrated experience leveraging AI coding tools (e.g., GitHub Copilot, Claude Code, Cursor, ChatGPT, or similar LLM-driven coding assistants) to accelerate development workflows, automate unit test generation, debug complex codebases, and optimize database queries efficiently.
  • Backend Development: Hands-on software development experience with Ruby on Rails and/or C# .NET for API integrations, batch processing, and business logic execution.
  • Frontend Development: Working knowledge of Vue.js (or similar modern JavaScript frameworks like React/Angular) for updating and building internal operational dashboards and user interfaces.
  • Database / SQL: Strong proficiency in PostgreSQL (or similar relational databases), including writing complex joins, stored procedures, query optimization, and schema management.
  • System Integration: Experience working with RESTful APIs, JSON/XML data formats, and batch file integrations (e.g., SFTP, custodial data feeds).
Experience & Domain Knowledge:
  • Education & Experience: Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Finance, or a related field, with a minimum of 2-4 years of technical experience in financial operations, fintech, or data engineering.
  • Financial Services Exposure: Familiarity with advisory fee billing, portfolio accounting, multi-custodian platforms, or financial reconciliation logic is strongly preferred.
Soft Skills & Competencies:
  • Analytical Problem-Solving: Ability to untangle complex data discrepancies across multiple databases and legacy systems.
  • Collaborative Mindset: Exceptional communication skills with a proven track record of acting as a technical translator for business and operations partners.
  • Detail-Oriented & Rigorous: High standards for code quality, data accuracy, and automated testing in production environments.
Compensation

$75k

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