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Data Analysis Associate Jobs in Arizona (NOW HIRING)

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

... Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(Google Cloud Platform), Data Integration & ETL, AI ...

Cliftonlarsonallen

Data Analyst Senior

Phoenix, AZ · On-site +1

$107K - $155K/yr

In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

Perform exploratory data analysis to identify relationships, trends, anomalies, and improvement ... At Shamrock Foods Company, people come first - our associates, our customers, and the families we ...

Walmart

(USA) Senior, Data Analyst

Goodyear, AZ · On-site

$80K - $155K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

Walmart

(USA) Senior, Data Analyst

El Mirage, AZ · On-site

$80K - $155K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

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Data Analysis Associate information

What does a data analysis associate do?

A Data Analysis Associate is responsible for collecting, organizing, and interpreting large sets of data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights. Their work often involves preparing reports, collaborating with other teams, and ensuring data accuracy and integrity. Data Analysis Associates play a key role in supporting decision-making processes and optimizing business performance.

How does a data analysis associate typically collaborate with other departments within an organization?

Data Analysis Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations to interpret data and provide actionable insights. They often attend meetings to understand department-specific goals, gather requirements, and present findings in a way that is accessible to non-technical colleagues. This collaboration is key to ensuring that analytical recommendations align with broader business objectives and lead to informed decision-making. Strong communication skills and adaptability are essential for success in these collaborative settings.

What are the key skills and qualifications needed to thrive as a data analysis associate, and why are they important?

To thrive as a Data Analysis Associate, you need strong analytical skills, proficiency in statistics, and typically a degree in a quantitative field such as mathematics or economics. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and conveying insights to stakeholders. These skills and qualities are crucial for transforming complex data into actionable business decisions and driving organizational success.
What are the most commonly searched types of Data Analysis jobs in Arizona? The most popular types of Data Analysis jobs in Arizona are:
Data Analysis Associate jobs near you
Infographic showing various Data Analysis Associate job openings in Arizona as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Data Analyst

Stanley David and Associates

Phoenix, AZ • On-site

Other

Re-posted 12 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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