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Google Data Analyst Jobs in Arizona (NOW HIRING)

... Google Cloud Platform), Data Integration & ETL, AI/ML Fundamentals The Role As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance ... such as Google Cloud Platform (GCP), AWS, or Azure. • Beginner-level knowledge or hands-on ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data ... such as Google Cloud Platform (GCP), AWS, or Azure. • Beginner-level knowledge or hands-on ...

AVP, Audit Execution Analytics

Tempe, AZ · Hybrid

$106K - $130K/yr

  • Medical

  • Retirement

  • PTO

... Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

... in data. * Experience in voter contact technology. * Proficiency with Google Sheets and other G ... Degree in data analytics or a comparable field. * Acute knowledge of ArcGIS or other mapping ...

... in data. * Experience in voter contact technology. * Proficiency with Google Sheets and other G ... Degree in data analytics or a comparable field. * Acute knowledge of ArcGIS or other mapping ...

... in data. * Experience in voter contact technology. * Proficiency with Google Sheets and other G ... Degree in data analytics or a comparable field. * Acute knowledge of ArcGIS or other mapping ...

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ... Experience working with and performing analysis using large data sets * Proven and Demonstrated ...

Data Strategy-Manager

Phoenix, AZ

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Phoenix, AZ

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Sr. Paid Media Specialist

Scottsdale, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Google Ads Certification is required · Strong analytical skills, with an ability to translate complex data into actionable insights · Strong communication skills, both written and verbal, with the ...

New

GCP Data engineer

Phoenix, AZ · On-site

$113K - $136K/yr

W2 Strong experience with Google Cloud Platform (GCP) services including BigQuery, Dataproc, and ... Data Analytics concepts and methodologies Perform Exploratory Data Analysis (EDA) to identify ...

Manager, Data Analytics

Tempe, AZ · Hybrid

$111K - $145K/yr

  • PTO

... Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected ... analytics, reporting, and data management * Experience with ticketing system (such as Jira)

GCP Data Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

* Google Cloud Platform services such as BigQuery, Dataproc and Cloud Composer, while strengthening ... Solid understanding of data analytics concepts and methodologies. Ability to interpret data ...

GCP Data Engineer II

Phoenix, AZ

$114K - $137K/yr

* Google Cloud Platform services such as BigQuery, Dataproc and Cloud Composer, while strengthening ... Solid understanding of data analytics concepts and methodologies. Ability to interpret data ...

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Google Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do google data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for google data analyst 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 Google Data Analyst?

To thrive as a Google Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as computer science, mathematics, or economics. Mastery of technical tools like SQL, Python, R, and data visualization platforms (e.g., Tableau, Looker), as well as Google Analytics certification, is highly valuable. Effective communication, critical thinking, and problem-solving abilities set top performers apart. These skills and qualities are crucial because they enable data analysts to extract actionable insights, communicate findings clearly, and drive impactful business decisions within fast-paced tech environments.

What does a Google Data Analyst do?

As a Google Data Analyst, you'll often work on projects involving the collection, cleaning, and analysis of large datasets to uncover valuable trends and insights for different teams or products. Daily tasks may include writing queries to extract data, building dashboards, preparing reports, and presenting findings to stakeholders from engineering, product, or marketing departments. You may also collaborate with cross-functional teams to design and implement experiments, measure key performance indicators, and make data-driven recommendations. This dynamic environment allows you to develop a broad skill set while contributing directly to business decisions and innovation.

What is a Google Data Analyst?

A Google Data Analyst is responsible for collecting, processing, and analyzing data to provide insights that drive business decisions. They use tools like SQL, Python, and Google Analytics to identify trends and improve processes. Their role involves data visualization, reporting, and stakeholder communication to support various teams.

What are the most commonly searched types of Google Data Analyst jobs in Arizona?

The most popular types of Google Data Analyst jobs in Arizona are:

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

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

Infographic showing various Google Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.

Other

Re-posted 21 days ago


Job description

Data Analyst
 
Must Have Technical/Functional Skills
SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(Google Cloud Platform), Data Integration & ETL, AI/ML Fundamentals
 
The Role
As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.
This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.
 
Responsibilities
• Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
• Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
• Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
• Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
• Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
• Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
• Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
• Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
• Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
• Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
• Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (Google Cloud Platform), AWS, or Azure.
• Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
• Strong analytical, problem-solving, communication, and stakeholder management skills.