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Weekday Google Data Analyst Jobs in Arizona (NOW HIRING)

Tata Consultancy Service Limited

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 ...

Infini-Tek

CRM DATA ANALYST-BANKING

Arizona City, AZ · On-site

Analytical mindset with strong attention to detail and problem-solving skills. Preferred ... Experience with cloud data platforms (AWS, Azure, Google Cloud Platform) and modern data stack ...

Shamrock Foods Company

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

The Data Science Analyst is responsible for using data science, machine learning, statistical ... to weekdays but may be subject to evenings or weekends due to project or department needs.

Turning Point Action

Voter Analyst

Phoenix, AZ

... 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 ...

Turning Point Action

Voter Analyst

Phoenix, AZ · On-site

... 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 ...

Turning Point Action

Voter Analyst

Phoenix, AZ · On-site

... 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 ...

InfiCare

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience ... Perform data ingestion, preparation, and reporting to support business intelligence and analytics ...

Intraedge

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location ... Strong communication and analytical skills including effective presentation skills. Familiarity ...

NucleusTeq Inc

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 ...

VIIRL, LLC

Sr. Paid Media Specialist

Scottsdale, AZ · On-site

... 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 ...

VIIRL, LLC

Sr. Paid Media Specialist

Scottsdale, AZ · On-site

$85 - $130/hr

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 ...

Pwc

Data Strategy-Manager

Phoenix, AZ · On-site

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Phoenix, AZ · On-site

$99K - $232K/yr

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

Intraedge

Data Engineers with Lumi

Phoenix, AZ · On-site

$113K - $136K/yr

Hands-on software development experience with Big Data & Analytics solutions like Google Cloud Platform Cloud - Big Query, Airflow, DataProc, PubSub, Python, shell scripting ,Kafka, Git, etc. Strong ...

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All JobsWeekday Google Data Analyst JobsWeekday Google Data Analyst Jobs in Arizona

Weekday Google Data Analyst information

What is the difference between Weekday Google Data Analyst vs Weekday Data Scientist?

AspectWeekday Google Data AnalystWeekday Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Google certificationsBachelor's or Master's in Data Science, Computer Science, or related; advanced certifications
Work EnvironmentData analysis, reporting, dashboards within Google toolsModel development, complex analysis, machine learning projects
Employer & Industry UsagePrimarily in tech, marketing, and e-commerce companies using Google platforms

Weekday Google Data Analysts focus on interpreting data, creating reports, and supporting decision-making using Google tools. In contrast, Weekday Data Scientists handle advanced modeling, machine learning, and predictive analytics. Both roles require strong analytical skills and familiarity with data tools, but Data Scientists typically have more technical expertise and work on complex algorithms.

Is Weekday Google Data Analyst still relevant in 2026?

The role of a Google Data Analyst remains relevant in 2026 as data analysis and interpretation continue to be vital for business decision-making. Proficiency in tools like Google Analytics, SQL, and data visualization software will be important for success in this field.

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:

Weekday Google Data Analyst jobs near you

Data Analyst

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$100K - $110K/yr

Full-time

Re-posted 13 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(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.
Salary Range- $100,000-$110,000 a year

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