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Google Data Analyst Jobs in Arizona (NOW HIRING)

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

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 ...

Consolidate data from multiple platforms (e.g., Google Analytics, Meta Ads Manager, Google Ads, CRM, and other tools) into cohesive performance narratives. * Support A/B testing, attribution modeling ...

AVP, Audit Execution Analytics

Tempe, AZ · Hybrid

$106K - $130K/yr

... 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 ...

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

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

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

... 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 Jul 27, 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 in the Google Data Analyst position, and why are they important?

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 are some typical projects or responsibilities a Google Data Analyst might handle on a daily basis?

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 job?

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 July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Role - Data Analyst
Experience Required - 8+ Years
Must Have Technical/Functional Skills
SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), 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 (GCP), 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.
Base Salary Range : $90,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.