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Data Analyst Github Jobs in Arizona (NOW HIRING)

Sprouts Farmers Market

Database Platform Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

  • PTO

Responsibilities : • Define and own the enterprise data architecture roadmap, aligning platform ... analysis and proof-of-concept implementations. • Mentor and guide database engineers and ...

Sprouts Farmers Market

Database Platform Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Sprouts Farmers Market

Database Platform Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Saxon Global

Technology Lead - DevOps

Phoenix, AZ · On-site

$52.50 - $71.75/hr

... tools and data migrations, especially from SVN to Github, Anthill Pro to Jenkins, Ant/Maven to Gradle, etc At least 1 years of experience in performing AS-IS Analysis of the SDLC processes ...

ClifyX

Golang Architect

Phoenix, AZ · On-site

... tooling (e.g., GitHub Actions, XLR) • Establish and evolve Kubernetes foundations ... Data Modeling & Systems Design • Define appropriate data structures, schemas, and artifacts • ...

JConnect Inc

Senior Salesforce Developer

Phoenix, AZ · On-site

$124K - $152K/yr

... Agentforce, Data Cloud ) to accelerate development, analysis, and solutioning • Drive code ... GitHub, Jenkins) for efficient development and deployment processes Thanks, Alok

Arevon

Analyst, Software Development

Scottsdale, AZ

  • Retirement

  • PTO

Backend and data: FastAPI, Django REST Framework, PostgreSQL/TimescaleDB, MongoDB, Snowflake * Infrastructure: AWS (IoT Core, Lambda, S3), Docker, Terraform, GitHub with CI/CD * Where we are headed:

Arevon

Analyst, Software Development

Scottsdale, AZ · On-site

  • Retirement

  • PTO

Backend and data: FastAPI, Django REST Framework, PostgreSQL/TimescaleDB, MongoDB, Snowflake * Infrastructure: AWS (IoT Core, Lambda, S3), Docker, Terraform, GitHub with CI/CD * Where we are headed:

Axon

Finance Transformation AI Lead

Scottsdale, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leverage AI development tools such as Cursor, Claude, Codex, GitHub Copilot, and similar ... Analytics & Data Solutions * Build SQL queries, data transformations, dashboards, validation checks ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Arizona

Data Analyst Github information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do data analyst github jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analyst github in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 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 Arizona?

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

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

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

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

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

Data Analyst Github jobs near you

Database Platform Architect

Sprouts Farmers Market

Phoenix, AZ • On-site

$63.25 - $81.50/hr

Full-time

PTO

Re-posted 4 days ago

Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 820 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores

Job description

Job Summary:
Sprouts Farmers Market is a rapidly growing company focused on high-quality, farm-fresh produce and healthy living. They are seeking a Database Platform Architect to own the architecture and evolution of their data infrastructure, partnering with various teams to deliver scalable and secure data systems.
Responsibilities:
• Define and own the enterprise data architecture roadmap, aligning platform strategy with business objectives and technology trends.
• Lead the design and governance of MS SQL Server, Azure SQL, PostgreSQL, and related relational platforms across development, staging, and production.
• Architect and implement high-availability and disaster recovery solutions including AlwaysOn Availability Groups, failover clustering, and cloud-native replication.
• Drive DataOps adoption by integrating database changes into CI/CD pipelines, automating deployments, and managing infrastructure-as-code (IaC) for data platform resources.
• Establish and enforce data platform standards, naming conventions, security controls, and governance policies.
• Lead performance engineering efforts, including proactive query tuning, index strategy, workload management, and capacity planning for multi-TB environments.
• Evaluate and recommend cloud database services and emerging technologies, providing build-vs-buy analysis and proof-of-concept implementations.
• Mentor and guide database engineers and developers, elevating data platform knowledge across the organization.
• Partner with development teams on complex schema design, API data patterns, and data warehouse modeling.
• Oversee data migration and upgrade projects, including major version upgrades and cloud lift-and-shift initiatives.
• Drive automation of operational processes including monitoring, alerting, backup validation, and routine maintenance using PowerShell, Python, or similar.
• Provide escalation support for critical production incidents and participate in 24x7 on-call rotation.
• Produce architectural documentation, including solution design documents, runbooks, and data flow diagrams.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
• 10+ years of experience with MS SQL Server in enterprise environments, with at least 3 years in an architect or lead capacity.
• 5+ years working with large-scale databases (5TB+) in high-availability configurations.
• 3+ years hands-on experience with cloud database platforms (Azure SQL Database / Managed Instance) and open-source RDBMS platforms (PostgreSQL, MySQL, or similar).
• Proven experience building and operating DataOps pipelines with CI/CD tooling (Azure DevOps, GitHub Actions, or equivalent).
• Experience with infrastructure-as-code tools (Terraform, Bicep) for database resource provisioning.
• Expert-level proficiency in MS SQL Server: AlwaysOn AG, WSFC, replication, log shipping, and failover clustering.
• Strong knowledge of cloud-native database services: Azure SQL MI, Azure Synapse, and related PaaS offerings.
• Proficiency with open-source RDBMS platforms: PostgreSQL, MySQL, or MariaDB — including replication, extensions, and performance tuning.
• Experience with modern ETL/ELT patterns, SSIS, Azure Data Factory, or dbt.
• Proficiency in PowerShell and Python for automation, scripting, and platform management.
• Hands-on experience with database CI/CD tools (Flyway, Liquibase, SSDT, or similar).
• Solid understanding of data security: TDE, row-level security, dynamic data masking, RBAC, and cloud IAM patterns.
• Experience with Performance Tuning and Optimization (PTO), including execution plan analysis and workload isolation.
• Familiarity with observability tools (Datadog, Azure Monitor, SQL Insights, or equivalent).
• Knowledge of data governance frameworks and catalog tooling (Purview, Collibra, or similar) a plus.
Preferred:
• Microsoft certifications (DP-300, DP-900, AZ-900) preferred.
Company:
Sprouts is the place where goodness grows. Founded in 2002, the company is headquartered in Phoenix, USA, with a team of 10001+ employees. The company is currently Late Stage.

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