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

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

What you've got · 8+ years of experience in data engineering or analytics with at least 5 years of ... MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft ...

Forhyre

Cloud Service Reliability Engineer

Phoenix, AZ · On-site

$56.50 - $75.25/hr

... data analytics technologies. Responsibilities of the Cloud Service Reliability Engineer ... GitHub, GitHub Actions, Jenkins, Jira and other CI/CD Tools) * Configuration Management and ...

The University of Arizona

req26755

Phoenix, AZ · On-site

Github) and writing detailed documentation to document all data analyses pipelines. * Assist with funding applications by generating preliminary data. * Derive, analyze, and format data for ...

New

State Farm

DATA ENGINEER-Python, AWS, Spark (Hybrid)

Tempe, AZ · Hybrid

$109K - $131K/yr

You will develop automated, reliable analytical data assets that help transform how we operate and ... Experience with version control systems such as GitHub or GitLab. * Data access skills using SQL ...

USAA

Tax Analyst Senior

Phoenix, AZ · On-site +1

$93K - $179K/yr

... compiled data and GAAP and STAT accounting treatment, computing current and cumulative tax ... Experience with Visual Studio Code (VS Code), GitHub Copilot, OpenAI Codex, Anthropic Claude, and ...

IntraEdge

Full Stack Engineer

Phoenix, AZ

Systems are designed to handle large-scale data processing and Big Data querying * Development is ... Use GenAI tools (e.g., GitHub Copilot, other AI dev platforms) to accelerate development and ...

IntraEdge

Full Stack Engineer

Phoenix, AZ · On-site

Systems are designed to handle large-scale data processing and Big Data querying * Development is ... Use GenAI tools (e.g., GitHub Copilot, other AI dev platforms) to accelerate development and ...

Inficare Technologies

DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

XLR, Jenkins, GitHub Actions * Strong SQL and data analysis skills * Experience integrating data from enterprise systems via APIs or ETL processes * Experience with SDLC, DevSecOps, or technology ...

OmegaHires

Mainframe Modernization Engineer

Phoenix, AZ · On-site

$48.75 - $62.50/hr

Excellent analytical, troubleshooting, and communication skills. Preferred QualificationsExperience ... GitHub Actions, or Azure DevOps.Experience with SQL/DB2 data migration and modernization.

Sprouts Farmers Market

Database Platform Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

... data platform decisions, partnering with engineering, analytics, and business teams to deliver ... GitHub Actions, or equivalent). · Experience with infrastructure-as-code tools (Terraform, Bicep ...

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Showing results 21-40

All JobsData Analyst Github JobsData Analyst Github Jobs in Phoenix, AZ

Data Analyst Github information

See Phoenix, AZ salary details

$33.8K

$82.1K

$135K

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.

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

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ • On-site, Remote

$50 - $60/hr

Contractor

Re-posted 13 days ago

Job description

Title: Lead Data & AI Engineer

Location: Phoenix, AZ (hybrid remote)

Type: 6-month contract to hire

Pay: $50-60/hr

We’re looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

Your role

·       Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines.

·       Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance.

·       Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification.

·       Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches.

·       Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation.

·       Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems.

·       Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis.

·       Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection.

·       Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent.

·       Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments.

·       Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions.

·       Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices.

What you’ve got

·       8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing.

·       2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines.

·       Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines.

·       Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing.

·       Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies.

·       Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML.

·       Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments.

·       Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs.

·       Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly.

·       Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications.

To find more great tech-centric jobs, please visit www.phoenixstaff.com.