ZipRecruiter

Log In

1

Artificial Intelligence Data Analyst Jobs in Arizona

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 ... exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented ...

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance ... exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented ...

Inficare Technologies

Data Analyst

Phoenix, AZ · On-site

Phoenix, AZ Its day 1 onsite role Duration: Long term Looking for a Data Analyst to join the Cyber Data Active Intelligence team. This role will partner with data engineers, security teams, and ...

U-Haul

Accounting Data Analyst

Phoenix, AZ

... of artificial intelligence tools (including AI-generated responses, prompts, or real-time ... Provide data analytics of accounting information using SAP and SQL environments working closely ...

New

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site

... of artificial intelligence tools (including AI-generated responses, prompts, or real-time ... As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... of artificial intelligence tools (including AI-generated responses, prompts, or real-time ... As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ...

next page

Showing results 1-20

All JobsArtificial Intelligence Data Analyst JobsArtificial Intelligence Data Analyst Jobs in Arizona

Artificial Intelligence Data Analyst information

What is an artificial intelligence data analyst?

An Artificial Intelligence Data Analyst is a professional who collects, processes, and interprets large data sets to support the development and improvement of AI systems. They use statistical tools and machine learning techniques to analyze structured and unstructured data, identify trends, and generate insights that inform AI models. Their work often involves data cleaning, annotation, and validation to ensure data quality and accuracy. AI Data Analysts collaborate closely with data scientists, machine learning engineers, and other stakeholders to help organizations leverage data for smarter, automated decision-making.

What are the key skills and qualifications needed to thrive as an artificial intelligence data analyst?

To thrive as an Artificial Intelligence Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Standout candidates possess problem-solving abilities, attention to detail, and effective communication skills for sharing complex insights with stakeholders. These skills and qualities are crucial for extracting actionable insights from large datasets and enabling data-driven decision-making in AI projects.

How does an artificial intelligence data analyst typically collaborate with data scientists and engineers on AI projects?

Artificial Intelligence Data Analysts play a key role in AI projects by preparing, cleaning, and interpreting large datasets that are used to train models. They work closely with data scientists to understand data requirements and help define relevant features, and they partner with engineers to ensure data pipelines are robust and scalable. Regular collaboration involves sharing insights, troubleshooting data issues, and providing feedback to refine model performance. This teamwork ensures that the AI models are both accurate and reliable for the intended business applications.

What are popular job titles related to Artificial Intelligence Data Analyst jobs in Arizona?

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

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

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

What cities in Arizona are hiring for Artificial Intelligence Data Analyst jobs?

Cities in Arizona with the most Artificial Intelligence Data Analyst job openings:

Artificial Intelligence Data Analyst jobs near you

Data Analyst

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$100K - $110K/yr

Full-time

Re-posted 18 hours 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

Apply