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

Hightower

Data Engineer

Chicago, IL · On-site

$140K - $150K/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 ...

hightower

Data Engineer

Chicago, IL · Hybrid

$140K - $150K/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 ...

Co-Sourcing Partners

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 ...

Ulta Beauty

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.

The Hartford

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 ...

Maven

Trading Analyst (Python)

Chicago, IL

Experience building dashboards, data pipelines, or analytical tools * A portfolio, GitHub profile, or side projects - we care more about how you think and build than where you studied WHY MAVEN

The Hartford

Sr Analyst SDET

Chicago, IL · On-site

Develop automated Test Data Management capabilities across the program ecosystem. Provide solutions ... GitHub) Strong experience in risk-based approach for implementing End to End test strategies ...

Maven

Trading Analyst (Python)

Chicago, IL · On-site

Experience building dashboards, data pipelines, or analytical tools * A portfolio, GitHub profile, or side projects - we care more about how you think and build than where you studied WHY MAVEN

Ovative group

Data & Software Engineer

Chicago, IL

$118K - $141K/yr

Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude, internal LLM tooling) to ... We're flat - our interns sit next to VPs, our analysts work closely with senior leaders, and our CE ...

Ovative group

Data & Software Engineer, EMRge MMM

Chicago, IL · On-site

$118K - $141K/yr

Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude, internal LLM tooling) to ... Experience working with marketing, analytics and customer data * Experience building lightweight ...

84.51°

Senior Data Engineer

Chicago, IL · On-site

$98K - $169K/yr

... Analytics, or STEM) Preferred Skills - Experience in the following is a plus * Experience with ... Experience with Github SaaS / Github Actions * Experience with Terraform * Exposure to BI Tooling ...

Northern Trust

Cloud Data Platform Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

... data warehousing, analytics, artificial intelligence capabilities, and business-critical data ... Design and maintain GitHub-based CI/CD pipelines to automate platform provisioning, application ...

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Showing results 41-60

All JobsData Analyst Github JobsData Analyst Github Jobs in Alsip, IL

Data Analyst Github information

See Alsip, IL salary details

$34.6K

$84.1K

$138.4K

How much do data analyst github jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst github in Alsip, IL is $84,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,700.00 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 Alsip, IL look for? The top searched job categories for Data Analyst Github jobs in Alsip, IL are:
What cities near Alsip, IL are hiring for Data Analyst Github jobs? Cities near Alsip, IL with the most Data Analyst Github job openings:
Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Alsip, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,127 per year, or $40.4 per hour.

Data Engineer

Hightower

Chicago, IL • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Our Story
Founded in 2008, Hightower is a wealth management firm that provides investment, financial and retirement planning services to individuals, foundations and family offices, as well as 401(k) consulting and cash management services to corporations. Hightower's capital solutions, operational support services, size and scale empower its vibrant community of independent-minded wealth advisors to grow their businesses and help their clients achieve their financial vision. Based in Chicago with advisors across the U.S., we operate as a registered investment advisor (RIA).
Your Future Team
The Associate, Data Engineer, reporting to the Managing Director, Software Engineering, builds and maintains the data pipelines and infrastructure that power business operations, analytics, and decision-making across Hightower. A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making and run the business. You will work closely with data scientists, analysts, and engineers across the firm to deliver reliable, well-modeled data into Snowflake and our operational data stores.
What You'll Do
  • 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 well-structured, documented, and ready for analytics and regulatory reporting.
  • Provide on-call and production support for pipeline failures, diagnosing issues and driving them to resolution with appropriate urgency.
  • Continuously improve data quality, reliability, and performance across the platform, identifying and addressing root causes rather than symptoms.
  • Collaborate across departments to understand business requirements and translate them into durable, maintainable engineering solutions.
  • Participate in code reviews, testing, and documentation of data workflows

What You'll Bring
  • A bachelor's degree in information technology, data, artificial intelligence, or a related field.
  • 2-4 years of experience building and operating data pipelines in a professional environment.
  • Proficiency in Python, SQL, Snowflake, dbt, and Mulesoft.
  • A curiosity-driven, self-directed approach - comfortable digging into unfamiliar systems and figuring things out without hand-holding.
  • Strong collaboration skills with non-engineers, including analysts, data scientists, and business stakeholders.
  • A sharp attention to detail and a data accuracy mindset - you treat correctness as a first-class concern.

What We Offer
  • Coverage on the first day of employment for medical, dental, and vision insurance
  • Paid parental leave (16 weeks for primary caregiver and 8 weeks for secondary caregiver)
  • Mother's lounge onsite
  • Flexible PTO plan
  • In-office Monday through Thursday and work from home on Fridays
  • Free brand-new gym in the Chicago office
  • 401k matching plan
  • HSA employer contributions
  • Student loan assistance
  • Pet insurance
  • Base salary of $140,000-$150,000 plus discretionary bonus (exact base salary amount will be dependent on experience)

AN EQUAL OPPORTUNITY EMPLOYER:Hightower is an equal opportunity employer and does not discriminate based upon race, color, religion, sex, sexual orientation, pregnancy, marital status, national origin, citizenship, veteran status, ancestry, age (over 40), physical or mental disability, medical condition (cancer-related), gender identity or expression, genetic information including sickle cell or hemoglobin C trait, or any other consideration made unlawful by applicable federal, state, or local law.
You are a U.S. citizen, U.S. permanent resident or possess other unrestricted U.S. work authorization and will not require sponsorship for U.S. work authorization now or anytime in the future.

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