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Data Analyst Github Jobs in Utah (NOW HIRING)

Integration Engineer

Salt Lake City, UT ยท On-site

$55 - $58/hr

... development tools, GitHub Copilot, Databricks, and Data-as-a-Service (DaaS) capabilities ... Strong troubleshooting, analytical, and production support experience. * Excellent communication ...

Contribute to design and development of the firm's Listed Clearing software and data infrastructure ... issues by analyzing query execution plans, java code debugging, or log analysis; software ...

Azure DevOps * GitHub Data Technologies * SQL * Relational databases * Data modeling and query ... Data integration and analytics platforms * Security architecture, identity, and access management ...

Azure DevOps * GitHub Data Technologies * SQL * Relational databases * Data modeling and query ... Data integration and analytics platforms * Security architecture, identity, and access management ...

Azure DevOps * GitHub Data Technologies * SQL * Relational databases * Data modeling and query ... Data integration and analytics platforms * Security architecture, identity, and access management ...

Azure DevOps * GitHub Data Technologies * SQL * Relational databases * Data modeling and query ... Data integration and analytics platforms * Security architecture, identity, and access management ...

Azure DevOps * GitHub Data Technologies * SQL * Relational databases * Data modeling and query ... Data integration and analytics platforms * Security architecture, identity, and access management ...

Showing results 21-40

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 Sep 5, 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.

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 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, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Remote: Urgent Hire: Application Architect- UT

WiserHunt Inc.

Salt Lake City, UT โ€ข On-site

Other

Re-posted 11 hours ago


Job description

Title/Role: Application Architect-

Work Arrangement: Remote

The solution will:

  • Support desktop, laptop, tablet, and mobile access.
  • Provide intuitive data visualization and analytics capabilities.
  • Enable internal users to enter observations and perform quality-control workflows.
  • Deliver public-facing access to published water measurement data.
  • Integrate with HydroServer and existing DWRi technology platforms.
  • Modernize existing water distribution and reporting capabilities.
Required Qualifications

Candidates should demonstrate experience in:

  • Enterprise Solution Architecture
  • Software Architecture and Design
  • Web Application Architecture
  • UX/UI Design and User-Centered Design
  • Dashboard and Data Visualization Platforms
  • Requirements Gathering and Business Analysis
  • Agile Delivery Methodologies
  • Technical Roadmap Development
  • Cloud Architecture and Modern Application Design
  • API Architecture and Integration Design
  • Security Architecture
  • Cross-functional Stakeholder Engagement
  • Strategic Technology Planning
Preferred Qualifications

Strong preference will be given to candidates with experience in:

Water & Environmental Systems

  • Water resources technology solutions
  • Environmental information systems
  • Scientific and monitoring data platforms
  • Time-series data management systems
GIS & Spatial Technologies
  • GIS-enabled web applications
  • ArcGIS Maps SDK for JavaScript
  • Geospatial integration architectures
  • MapServer solutions
Modern Development Platforms
  • React
  • Node.js
  • CI/CD pipelines
  • GitHub-based development workflows