Data Analyst, AI and Automation Focus

Art and Wellness Enterprises (AWE) is a professional services organization supporting non-profits founded by Alice Walton, including the Alice L. Walton Foundation, Alice L. Walton School of Medicine, Art Bridges Foundation, Crystal Bridges Museum of American Art, the Momentary, and Heartland Whole Health Institute.

Job Description:

Job Title: Data Analyst, AI and Automation Focus
Reports to: Associate Vice President, Technology
FLSA Classification: Exempt

Location: Bentonville, Arkansas (On-site)

Art and Wellness Enterprises (AWE) supports operating non-profits founded by Alice Walton, including the Alice L. Walton Foundation, Alice L. Walton School of Medicine, Art Bridges, Crystal Bridges Museum of American Art, the Momentary, and Heartland Whole Health Institute.

About The Position

The Data Analyst, AI and Automation Focus supports data-driven initiatives across AWE by organizing, manipulating, and analyzing large datasets. This role is responsible for using artificial intelligence (AI) tools and automation to improve internal processes, enhance decision-making, and support various projects across the ecosystem.

Key responsibilities include data wrangling, building data pipelines, and developing automation scripts that streamline workflows and improve efficiency. The analyst also assists with integrating AI models into internal processes and supports the development of reports, dashboards, and data visualizations that deliver actionable insights to internal teams.

The role requires a strong foundation in data analytics, hands-on experience with Python and SQL, and familiarity with AI and automation tools. It also involves collaboration with cross-functional teams and has the opportunity to contribute to innovative projects that drive strategic growth within the organization. Success in this role requires technical aptitude, a passion for problem-solving, and the ability to thrive in a dynamic, fast-paced environment.

Essential Duties and Responsibilities

• Clean, validate, and structure raw datasets from diverse internal and external sources to ensure data accuracy and usability.
• Write and optimize SQL queries to extract, manipulate, and summarize data from multiple data sources for reporting and analytics purposes.
• Develop simple automation scripts and data tools using Python (such as pandas, NumPy, or similar libraries) to automate and streamline processes and improve data handling efficiency.
• Assist in building workflows that integrate AI models (e.g., LLMs or classifiers) into business processes to support automation and data-driven decision-making.
• Support the creation and maintenance of reports, dashboards, and data visualizations that deliver insights to business teams across the organization.
• Help document data processes, techniques, and workflows to build a growing library of reusable scripts and resources, for ongoing team reference and knowledge sharing.
• Collaborate with cross-functional stakeholders to identify and resolve data-related challenges and proactively suggest improvements where applicable.
• Stay up to date with industry trends in AI, machine learning, and data analytics, and bring new tools and techniques into the organization to improve performance.
• Other duties as assigned.

Qualifications and Requirements

• Bachelor’s degree in data science, statistics, computer science, or a related field preferred.
• 0-2 years of experience in data analytics, data science, or equivalent internships/projects.
• Experience in complex organizations, such as healthcare, higher education, museum/cultural institutions, nonprofits, or multi-entity structures, is preferred.
• Demonstrated proficiency in Python and SQL. Academic or project-based experience is welcome.
• Familiarity with data souring and preparation using formats such as CSV, JSON, or APIs.
• Working knowledge of AI/ML tools and frameworks is desirable.
• Ability to approach complex data problems with a critical mindset and come up with innovative, efficient solutions.
• Experience handling large datasets with attention to data integrity, structure, and accuracy.
• Strong communication skills, including the ability to translate complex data into clear actionable insights, document processes, and present findings effectively to both technical and non-technical stakeholders.
• Excellent customer service skills with the ability to handle competing demands professionally and efficiently.
• Good organizational skills with the ability to prioritize tasks and manage time effectively.
• Skilled in multitasking and critical thinking in a fast-paced environment whe