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Associate Data Analyst Internship Jobs in Arizona

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

Cliftonlarsonallen

Data Analyst Senior

Phoenix, AZ · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ...

Northern Trust

Sr. Associate, Data Management

Tempe, AZ · On-site

... Associate, Data Management to join the team and serve as a data management subject matter expert ... Key Responsibilities 1. Requirements Analysis & Functional Design * Collaborate with business ...

Walmart

(USA) Senior, Data Analyst

Sun City, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Senior, Data Analyst

Avondale, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Senior, Data Analyst

Glendale, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Senior, Data Analyst

El Mirage, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

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Associate Data Analyst Internship information

What is the difference between Associate Data Analyst Internship vs Data Analyst?

AspectAssociate Data Analyst InternshipData Analyst
Required CredentialsEnrolled in or recent graduate of related degree programsBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporaryFull-time professional role in various industries
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Permanent positions across multiple sectors
Search & Comparison IntentUnderstanding entry-level internship opportunitiesSeeking full-time data analysis roles

The Associate Data Analyst Internship is an entry-level, temporary position designed for students or recent graduates gaining initial experience. In contrast, a Data Analyst is a full-time professional role requiring more experience and often a degree. Internships serve as a stepping stone toward a full Data Analyst position, which involves more responsibilities and independence in data analysis tasks.

What does an Associate Data Analyst Intern do?

An Associate Data Analyst Intern supports the data analysis team by collecting, cleaning, and interpreting data to help inform business decisions. Typical tasks include creating reports, visualizing data trends, and assisting with data quality checks. Interns often work closely with experienced analysts and may use tools like Excel, SQL, or data visualization software. This role provides hands-on experience in data management and analytics, making it a great entry point for a career in data analysis.

What are the key skills and qualifications needed to thrive as an Associate Data Analyst Intern, and why are they important?

To thrive as an Associate Data Analyst Intern, you need foundational skills in data analysis, statistics, and a basic understanding of business concepts, often supported by coursework in mathematics, statistics, or related fields. Familiarity with analytical tools like Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting decision-making, and contributing to meaningful business insights.

What types of projects and responsibilities can I expect during an Associate Data Analyst Internship?

As an Associate Data Analyst Intern, you can expect to work on a variety of data-driven projects, such as cleaning and organizing large datasets, generating reports, and assisting in the development of dashboards. You may be responsible for supporting senior analysts with ad-hoc data requests, conducting basic statistical analyses, and visualizing key findings to inform business decisions. Collaboration is common; you’ll likely work closely with team members from analytics, engineering, and business units, providing you with exposure to different parts of the organization.
What are popular job titles related to Associate Data Analyst Internship jobs in Arizona? For Associate Data Analyst Internship jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Associate Data Analyst Internship jobs in Arizona look for? The top searched job categories for Associate Data Analyst Internship jobs in Arizona are:
Associate Data Analyst Internship jobs near you
Infographic showing various Associate Data Analyst Internship job openings in Arizona as of July 2026, with employment types broken down into 72% Full Time, 4% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Data Analyst

Stanley David and Associates

Phoenix, AZ • On-site

Other

Re-posted 8 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.

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