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Data Analyst Github Jobs in Arizona (NOW HIRING)

The HR Technology Data Integration Analyst designs, builds, and supports production ETL/data ... Working knowledge of Gitbased version control systems (GitHub) and comfort using developer tools ...

The HR Technology Data Integration Analyst designs, builds, and supports production ETL/data ... Working knowledge of Git-based version control systems (GitHub) and comfort using developer tools ...

... analytics. The Data Science Consultant role involves solving data problems end to end, utilizing ... GitHub) or have written about AI/DS please share this with us • Experience with Deep Learning ...

Advanced skills in data analytics and common computer programming languages and tools (R, SQL, Python, GitHub, etc.) * Knowledge and/or experience with biomechanical, physical activity, and/or ...

Advanced skills in data analytics and common computer programming languages and tools (R, SQL, Python, GitHub, etc.) * Knowledge and/or experience with biomechanical, physical activity, and/or ...

If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and ... If you have code in the open domain (for example GitHub) or have written about AI/DS please share ...

Principle Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/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 ...

Advanced skills in data analytics and common computer programming languages and tools (R, SQL, Python, GitHub, etc.) * Knowledge and/or experience with biomechanical, physical activity, and/or ...

Data Engineer

Tempe, AZ · On-site

$99.60K - $156.50K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... and GitHub Actions. * 2 years of experience in Salesforce FSC, Salesforce Data Cloud.

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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 May 30, 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.

What are the key skills and qualifications needed to thrive as a Data Analyst on 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.

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 Data Analysts on 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.

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 cities in Arizona are hiring for Data Analyst Github jobs? Cities in Arizona with the most Data Analyst Github job openings:
Data Integration Analyst

Data Integration Analyst

MUFG

Tempe, AZ • Hybrid

Full-time

Medical, Retirement, PTO

Posted 25 days ago


Job description

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Job Summary:

The HR Technology Data Integration Analyst designs, builds, and supports production ETL/data integration solutions that move and validate enterprise HR and adjacent business data. The role partners with stakeholders to translate needs into data requirements, troubleshoot integration and data-quality issues, and maintain runbooks and technical documentation while supporting security, compliance, and vendor/AI evaluations.

Key Responsibilities

  • Demonstrate a strong interest in enterprise business data and processes-preferably across HR, Corporate Communications, Legal, Project Portfolio Management, and Compliance-by asking thoughtful questions to understand business needs and translating them into clear data and technology requirements.
  • Design, develop, and support ETL and data integration solutions in a production environment, including batch scheduling, monitoring, and incident response.
  • Perform data validation and reconciliation using SQL; analyze data quality issues and partner with upstream and downstream teams to resolve sourcetotarget discrepancies.
  • Create and maintain knowledge articles, operating standards, runbooks, and technical documentation to support ongoing operations, audits, and compliance reviews.
  • Translate technical and architectural concepts into clear, concise updates and materials for internal business and technology stakeholders.
  • Troubleshoot application, integration, and data issues; perform rootcause analysis; and coordinate resolution with internal teams and external vendors.
  • Coordinate work across U.S. and Indiabased partners (such as service desk, engineering, and vendor support teams), tracking progress, risks, dependencies, and delivery milestones.
  • Support SaaS vendor evaluations and demonstrations by gathering requirements, documenting findings, and assisting with fitgap analysis across business needs, technology capabilities, security posture, and compliance requirements.
  • Assist with buildversusbuy analysis by documenting requirements and supporting proofofconcept efforts to replace select vendorhosted (SaaS) capabilities with inhouse solutions, under guidance from senior engineers.
  • Contribute to internal data and workflow tools by writing and maintaining code, unit tests, and documentation using GitHub and GitHub Copilot, following established development patterns, peerreview processes, and secure coding standards.
  • Support the responsible adoption of AIenabled solutions by documenting use cases, assisting with governance requirements, and helping evaluate opportunities to improve business and technology processes.
  • Assist in assessing AI capabilities within existing applications compared to enterpriseprovided Microsoft Copilot capabilities; document vendor security controls and guardrails, and escalate potential risks for appropriate review.

Required Skills & Experience

  • 1-2 years of experience in the financial services industry (preferred).
  • Experience as an ETL Analyst with handson exposure to ETL development, Python scripting, and relational databases.
  • Solid understanding of data warehousing and ETL concepts, including fact and dimension tables, star and snowflake schemas, full versus incremental loads, and Slowly Changing Dimensions (SCDs).
  • 1-2 years of handson experience using SQL and relational databases for ETL development, data analysis, validation, and troubleshooting.
  • Proven exposure to data security principles, technology controls, and regulatory or compliance imperatives within a production environment.
  • Familiarity with Microsoft Copilot and promptbased AI capabilities; handson experience is preferred.
  • Ability to create and interpret system interface specifications, data mappings, and endtoend process designs.
  • Basic understanding of software architecture concepts, including APIs and services, data stores, authentication and authorization mechanisms, and logging and monitoring, and how these components interact within a production system.
  • Exposure to common application patterns such as RESTful APIs, authentication fundamentals, and SQL query patterns used by Java and Pythonbased services.
  • Familiarity with a modern product stack, including Java and/or Python for backend services and APIs, React for frontend user interfaces, and SQL for data access; understanding the typical artifacts required to build and deploy internal products (source code, configuration, CI/CD pipelines, and automated tests).
  • Working knowledge of Gitbased version control systems (GitHub) and comfort using developer tools such as IDEs and commandline interfaces; ability to use GitHub Copilot to assist with Java, Python, React, and SQL development while validating outputs through testing, peer review, and secure coding and compliance standards.
  • Strong analytical, problemsolving, and decisionmaking skills, with close attention to detail.
  • Strong verbal, written, and presentation skills, with the ability to communicate effectively with both technical and nontechnical audiences.

Education:

Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

"Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position."

The typical base pay range for this role is as follows:

  • $103- $128k

depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

Our hybrid work schedule is four days on-site and work remotely one day per week.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.

MUFG logo

About MUFG

Sourced by ZipRecruiter

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 6th largest financial group in the world. Across the globe, we're 160,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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