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Data Analyst Github Jobs in Utah (NOW HIRING)

IT Specialist

Ogden, UT · On-site

$106K/yr

Analyzing multiple technical alternatives and advising management or IT specialists on the ... GitHub Actions workflows) to ensure secure, reliable, repeatable, and scalable delivery of data ...

... to access, visualize, analyze, quality-control, and manage data from roughly 1,200 active ... and GitHub-based development workflows Google Cloud Platform, the HydroServer ecosystem ...

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Data Analyst Github information

See Utah salary details

$31K

$75.2K

$123.8K

How much do data analyst github jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst github in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 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 cities in Utah are hiring for Data Analyst Github jobs?

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

Infographic showing various Data Analyst Github job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

$106K/yr

Full-time

Posted 4 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

310th of 846 rated public administrative organizations


Job description

WHAT IS INFORMATION TECHNOLOGY??
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT - Data and Platform Engineering
  • IT - Data and Platform Engineering
    REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

    Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
    You must meet the following requirements by the closing date of this announcement.
    QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
    MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.

    SPECIALIZED EXPERIENCE GS-13 LEVEL: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:

    • Independently applying IT principles, concepts, methods, and practices to plan, analyze, implement, maintain, troubleshoot, or enhance IT systems, services, hardware, software, applications, interfaces, scripts, or related technology environments.
    • Performing computer projects, operational, or application-related assignments involving IT requirements and techniques, including resolving technical issues, validating system, application, or code testing and configuration.
    • Preparing technical documentation and applying federal cybersecurity, privacy, or regulatory requirements.
    • Working directly with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
    • Assessing system, service, or application performance, availability, reliability, usability, and operational effectiveness.
    • Identifying risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
    • Analyzing multiple technical alternatives and advising management or IT specialists on the selection, configuration, implementation, or improvement of IT solutions, including application components where applicable, to support mission and operational requirements.
    • Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion automation, and schema mapping. Utilizing Structured Query Language (SQL) for searching, manipulating, and validating large datasets, and scripting languages like Python for automation and testing.
    • Experience with data quality dimensions (e.g., accuracy, completeness, consistency). Utilizing Extract, Transform, Load (ETL) processes and data pipelines and cloud platforms like Amazon Web Services (AWS), Azure, or (Google Cloud Platform) GCP.
    • Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and pipelines and deployment automation (e.g. GitHub, GitHub Actions workflows) to ensure secure, reliable, repeatable, and scalable delivery of data engineering solutions and platform enhancements.

    AND
    You must also meet the following requirements:

    • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
      • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
      • Completed a formal vocational training program; or
      • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

    For more information on qualifications please refer to OPM's Qualifications Standards.

    Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
    FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
    We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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