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Data Analyst Github Jobs in Phoenix, AZ (NOW HIRING)

Honeywell International, Inc.

IT Analyst I

Phoenix, AZ · On-site

Experience using Git, GitHub, Copilot, VS Code, CI/CD basics, or Agile tools such as JIRA. Technical Skills Programming & Scripting * Basic Python skills for data analysis or simple automation * SQL ...

Republic Services

Data Scientist III

Phoenix, AZ

... like GitHub CoPilot, Cursor, Claude Code. * Demonstrated expertise working with cloud-based data platforms and infrastructure, such as Snowflake and AWS, to support analytics and data science ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

... like GitHub CoPilot, Cursor, Claude Code. * Demonstrated expertise working with cloud-based data platforms and infrastructure, such as Snowflake and AWS, to support analytics and data science ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

... like GitHub CoPilot, Cursor, Claude Code. * Demonstrated expertise working with cloud-based data platforms and infrastructure, such as Snowflake and AWS, to support analytics and data science ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Mondo

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Translate ambiguous business problems into scoped, production ready analytical approaches ... Familiarity with AI based coding assistants such as GitHub CoPilot, Cursor, or Claude Code

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... Github Actions, Sonar, Maven, Jira, Confluence, Splunk etc.). * Knowledge of various Shell ... Strong communication and analytical skills including effective presentation skills.

EXL Service

Principle Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

EXLS) is a global analytics and digital solutions company that partners with clients to improve ... GitHub - branch, release, DevOps, CI/CD pipeline. * Team player, Strong communication and ...

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$32.5K

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$129.9K

How much do data analyst github jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data analyst github in Phoenix, AZ is $78,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 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 are popular job titles related to Data Analyst Github jobs in Phoenix, AZ?

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

What job categories do people searching Data Analyst Github jobs in Phoenix, AZ look for?

The top searched job categories for Data Analyst Github jobs in Phoenix, AZ are:

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Cities near Phoenix, AZ with the most Data Analyst Github job openings:

Data Analyst Github jobs near you

IT Analyst I

Phoenix, AZ • On-site

Honeywell International, Inc.
Furniture Manufacturing • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

66th of 544 rated manufacturers

People enjoy working here

Good employer

Recommended by students

Learn more about Honeywell International, Inc.external

Full-time

Posted 7 days ago

Job description

Responsibilities
Key Responsibilities
  • Gain exposure to how large companies manage data across different areas like engineering, supply chain, finance, and manufacturing.
  • Learn how data is used to support decision-making, dashboards, operations and reporting.
  • Assist with simple data quality checks or structured cleanup tasks under mentor guidance.
  • Work with senior IT leaders to understand high-level data challenges and turn them into small, hands-on prototype opportunities.
  • Collaborate on innovation initiatives that use modern data engineering, cloud capabilities, and predictive analytics to generate measurable business impact.
  • Learn how different systems (like SAP, cloud platforms, or analytics tools) connect/share data.
  • Learn what "data governance" means and why accuracy, consistency, and security matter in large organizations.
  • Help with documentation related to data definitions, business rules, or how a prototype handles data.
  • Learn foundational concepts about data security, classification, and why certain industries follow strict rules.
  • Follow security guidelines while working with data in prototypes or testing environments.
  • Gain early exposure to enterprise systems like SAP and cloud platforms so you can grow into more advanced data roles in the future.
  • Participate in learning sessions with senior leaders to understand how enterprise data supports major programs.

Qualifications
YOU MUST HAVE
  • Bachelor's degree (completed or in final year) in Computer Science, Data Science, IT, Engineering, or related technology discipline.
  • Ability to write code in at least one language (Python, SQL, Java, JavaScript/TypeScript).
  • Understanding of fundamental computer science concepts: algorithms, data structures, databases, debugging, and SDLC basics.
  • Exposure to at least one relevant area: web development, scripting/automation, cloud platforms, AI/ML, data analytics, or enterprise applications.
  • Strong problem-solving skills, curiosity, willingness to learn fast, and ability to communicate.
  • Ability to work effectively with mentors, peers, and cross-functional stakeholders.

WE VALUE
  • Hands-on experience through academic projects, internships, capstones, or hackathons.
  • Exposure to Python data libraries, data cleaning, automation scripts, or analytics notebooks.
  • Experience with dashboards or BI tools (Power BI, Tableau, SAP Analytics Cloud).
  • Familiarity with cloud concepts (AWS/Azure fundamentals, APIs, IAM, serverless functions).
  • Exposure to AI/GenAI concepts (prompt engineering, embeddings, model evaluation, RAG).
  • Experience using Git, GitHub, Copilot, VS Code, CI/CD basics, or Agile tools such as JIRA.

Technical Skills
Programming & Scripting
  • Basic Python skills for data analysis or simple automation
  • SQL fundamentals for querying and working with data
  • Optional exposure to Java or JavaScript
  • Optional basic scripting experience (PowerShell or Bash)

Data & Analytics
  • Understanding of how to clean, organize, and prepare data
  • Ability to build simple dashboards using tools like Power BI or Tableau
  • Exposure to basic analytics or introductory machine learning concepts

Cloud & Data Platforms
  • General awareness of cloud platforms (AWS, Azure, Snowflake)
  • Understanding of APIs at a beginner level
  • Basic knowledge of how data moves between systems

Tools & Productivity
  • Experience using Git or GitHub for version control
  • Familiarity with IDEs like VS Code
  • Exposure to work-tracking tools (such as JIRA)
  • Basic troubleshooting skills (debugging simple code or data issues)

#HoneywellAerospaceURNAM
Honeywell logo

About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

View All Honeywell Jobs

What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

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