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

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$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

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

$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 ...

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 ...

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... development (Github Copilot or similar), as well as Agent development in Copilot studio for ...

QuantumClean

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... development (Github Copilot or similar), as well as Agent development in Copilot studio for ...

Select Source International

Be Seen First

Senior QA Analyst

Phoenix, AZ · On-site

$56 - $58/hr

Writing SQL queries for data verification and back-end testing. * Utilizing relative XPath language ... Azure DevOps, GitHub, Git, and source control using Visual Studio 2022 or above. * Effective verbal ...

New

Kforce Technology Staffing

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Develop data engineering and analytics solutions using modern cloud technologies and data ... Experience using modern source control and version management practices (Git/GitHub) * Strong ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... development (Github Copilot or similar), as well as Agent development in Copilot studio for ...

IntraEdge

Big Data Engineer II

Phoenix, AZ · On-site

$55.75 - $73.75/hr

Should have experience in analysis, design, development, testing, and implementation of system ... Experience with GitHub and leveraging CI/CD pipelines * Experience with NoSQL i.e., HBase ...

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How much do data analyst github jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst github in Phoenix, AZ is $82,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 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.

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

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Lead Data Analyst

Honeywell International, Inc.

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 538 rated manufacturers

Job description


As a Lead Data Analyst within the Finance Data Analytics team, you will own the design, build, and operational maturity of finance data products that turn business logic into reliable, enterprise-grade analytics. You will convert business reports into Snowflake production views, deliver dynamic Tableau dashboards, and lead ETL/ELT solutions that unify disparate sources into trusted, auditable information for CFO and program decision-making. You'll pair rigorous data quality with advanced analytics (predictive modeling, anomaly detection) and agentic AI workflows to accelerate insight generation across the finance cadence. You will partner closely with Finance (FP&A, Controllership, Program Finance), Integrated Supply Chain, and Order Management to translate requirements into scalable solutions-grounded in aerospace controls, security, and compliance.
Responsibilities
KEY RESPONSIBILITIES
Data Product Engineering
  • Convert business reports and logic into enterprise-grade reporting views in our cloud database. Building semantic layers and materialized views that are version-controlled, documented, and performance-tuned for finance workloads (variance, trend, forecast).
Business Intelligence & Visualization
  • Build dynamic, actionable dashboards in Tableau-with governed metrics, drill-throughs, scenario views, and executive summaries for Finance leaders. Establish and publish certified data sources; monitor adoption and performance.
ETL
  • Use Python and SQL to combine data from disparate sources (ERP/EPM, project controls, supply chain, CRM, flat files, APIs) into reconciled, trusted datasets that reduce manual effort and increase accuracy. Normalize and harmonize master data (CoA, cost centers, profit centers) for consistency across the finance lifecycle.
Data Quality & Controls
  • Lead data validation, error checking, outlier analysis, reconciliations/tie-outs to source systems, exception dashboards, and QA frameworks that support auditability and repeatability (SOX-ready). Embed role-based access controls, evidence trails, and control monitoring.
Finance Domain Analytics
  • Support program-controls analytics including Earned Value Management (EVM) metrics (CPI/SPI, CV/SV), Estimates at Completion (EAC) trending, and contractual reporting (e.g., IPMDAR). Build dashboards and datasets that surface risk/opportunity and drive corrective actions with Program Finance.
AI/ML & Agentic Automation
  • Use GitHub Copilot with Python to accelerate ETL, statistical modeling, and rapid analysis while maintaining secure coding and review practices; maintain reproducible notebooks and pipelines.
  • Develop predictive models (forecast accuracy, anomaly detection, driver analysis) and agentic AI workflows (orchestrated assistants in Dataiku or equivalent) to automate repetitive analytics and triage root causes-aligned to responsible-AI and governance standards.
Governance, compliance & security
  • Design with SOX controls in mind (data integrity, evidence, continuous controls monitoring) and partner with Controllership/Internal Audit on automation of key reports and control testing.
Agile Delivery & Stakeholder Leadership
  • Run an agile backlog of finance analytics use cases; collaborate across Finance, ISC, OM, and IT.

Qualifications
YOU MUST HAVE
  • 6+ years in data analytics/data engineering with Finance domain exposure (FP&A, Controllership, Program Finance).
  • Advanced SQL; hands-on Snowflake and Tableau experience building production-grade views, models, and dashboards.
  • Strong Python for data processing, automation, and statistical analysis; experience with ETL/ELT and orchestrating pipelines.
  • Proven delivery of data validation, error checking, outlier analysis, and reconciliations that stand up to audit.
  • Ability to translate complex business logic into scalable technical specifications and governed data products; excellent communication with Finance stakeholders.

WE VALUE
  • Experience with Dataiku or Databricks and GitHub Copilot to accelerate secure development.
  • Familiarity with ERP/EPM ecosystems (SAP/Oracle), master-data harmonization, and finance data architecture.
  • Prior work in SOX controls, continuous control monitoring, and audit analytics.
  • Awareness of export controls (ITAR/EAR) and handling of controlled technical data; prior security clearance a plus.
  • Experience optimizing Tableau performance and semantic layers.

US PERSONS REQUIREMENT
Due to U.S. export control laws, candidates must be U.S. citizen, U.S. permanent resident, or have protected status under asylum or refugee.
About us:
Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution.
Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.
Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next.
Every horizon. Every mission. Every day.
Benefits:
Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're eligible for a comprehensive benefits package that includes:
  • Employer-subsidized medical, dental, vision and life insurance
  • Short-term and long-term disability coverage
  • 401(k) match, flexible spending accounts and health savings accounts
  • Employee assistance program and educational assistance
  • Parental leave and 12 paid holidays
  • Paid time off for vacation, personal and sick time

Explore your benefits: https://honeywellaerospacebenefits.com/
POSTING TIMELINE
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

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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

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