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Data Analyst Github Jobs in Utah (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Provo, UT · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Data Analyst Github information

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$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 are popular job titles related to Data Analyst Github jobs in Utah?

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

What job categories do people searching Data Analyst Github jobs in Utah look for?

The top searched job categories for Data Analyst Github jobs in Utah are:

What cities in Utah are hiring for Data Analyst Github jobs?

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

Data Analyst Github jobs near you
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.

Engineering- Salt Lake City - Associate, Systems Engineering - 10442648

Goldman Sachs, Inc.

Salt Lake City, UT

Full-time

Posted 5 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description

Job Duties: Associate, Systems Engineering with Goldman Sachs Services LLC in Salt Lake City, Utah. Develop expertise across all Engineering, including storage, operating systems, databases, messaging, market data, exchange/clearing interface, and software languages. Contribute to design and development of the firm's Listed Clearing software and data infrastructure by identifying internal hardware and implementing and supporting public and private cloud-based solutions to provide on-demand scaling of the firm's applications. Apply data interrogation and analysis, Generative AI, and machine learning techniques to identify and react to problems in the firm's infrastructure and platforms. Identify, analyze, and resolve application issues by creating "Skills" which can be used by AI agents for repetitive error resolutions and minimizing operational errors. Develop Monitoring and Observability solutions to track and manage application health and support application service performance by identifying bottlenecks in the systems. Monitor, mitigate, and prevent risk in the production environment by enforcing change management processes. Review and assess production incidents and communicate with users, applications owners, vendors, and internal and external stakeholders. Develop sustainable systems and services through automation, performance tuning of application and database code. Improve exchange and clearing house processing throughput for Listed Derivatives flow to meet exponential business demands. Plan and build Disaster recovery capabilities in enterprise applications.

Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field and three (3) years of experience in job offered or related role OR Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field and one (1) year of experience in job offered or related role. Prior work experience must include three (3) years with Bachelor's OR one (1) year with Master's with the following: performance tuning and troubleshooting application and database issues utilizing SQL performance tuning and diagnosing potential performance issues by analyzing query execution plans, java code debugging, or log analysis; software development using UNIX operating system, Shell scripting, or Object-Oriented (OO) languages like Java; supporting production systems utilizing Database technologies including DB2 or Sybase ASE, and messaging technologies including MQ, EMS, or Object-Oriented (OO) languages like Java; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support using tools like Github; and executing periodic disaster recovery testing to ensure business continuity.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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