Senior Analyst, AI and Visualization

Art and Wellness Enterprises•Bentonville, AR

5d•Onsite

About The Position

The Senior Analyst, AI and Visualization shapes how data, AI, and advanced analytics improve internal and external experiences across Art and Wellness Enterprises’ ecosystem. The role addresses high-impact, often ambiguous and cross-functional business problems, translating them into scalable, data-driven solutions that inform strategic decisions. Working as a hands-on technical leader and trusted thought partner, the Senior Analyst delivers measurable improvements through experimentation, agentic AI solutions, and predictive models. The role also elevates data science practices through mentorship and collaboration. Success requires strong analytical and technical capabilities, sound business judgment, clear communication of complex concepts, curiosity, innovation, strategic thinking, and the ability to balance technical depth with cross-functional collaboration in a fast-paced environment. The position is based onsite in Bentonville, Arkansas, and is performed full-time in a professional, climate-controlled office environment. The usual schedule is Monday through Friday, 8 a.m. to 5 p.m.; occasional evening and weekend hours, a flexible schedule, and some travel may be required.

Requirements

Bachelor’s degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field; equivalent experience may be considered for exceptional candidates.
5–7 years of experience in analytics, data science, business intelligence, AI-enabled analytics, or a related field.
Demonstrated experience delivering data science or advanced analytics solutions that influenced decision-making and business outcomes.
Strong technical proficiency in SQL and Python, including experience with libraries such as pandas, scikit-learn, and statsmodels to analyze large, complex datasets.
Practical experience with experimentation methodologies, including A/B testing, causal inference, and statistical analysis in real-world business environments.
Working knowledge of Generative and Agentic AI, including building autonomous or multi-agent workflows and integrating them into broader analytical solutions.
Experience operating in cloud data ecosystems to productionize models.
Business and strategic acumen, including the ability to structure ambiguous problems, prioritize impact, and recommend data-driven actions.
Strong written and verbal communication and influence skills, including the ability to earn trust, align stakeholders, and drive decisions without formal authority.
Ability to organize and prioritize multiple projects and information accurately.
Creative, inquisitive, and open-minded problem-solving approach, with the ability to apply innovative thinking to complex challenges.
Ability to work independently and collaboratively within a multidisciplinary team.
Ability to thrive in a fast-paced, changing environment while remaining adaptable and resilient.

Nice To Haves

Master’s degree.
Experience with data visualization, experimentation, or predictive modeling.
Experience utilizing visualization tools such as Power BI, Tableau, or Streamlit.
Experience with cloud data ecosystems such as Snowflake.

Responsibilities

Lead high-impact analytical initiatives by framing complex business questions as testable hypotheses, analytical approaches, and deployable AI-driven solutions that improve staff and guest experiences.
Design, execute, and scale experimentation, including A/B testing, causal inference, and machine learning models, to inform financial, operational, and strategic decisions.
Develop and deploy agentic AI solutions, moving concepts from prototype to production independently and with cross-functional stakeholders.
Source, validate, and model large, multi-domain datasets to transform raw data into accurate, relevant, business-ready insights.
Translate analytical findings into clear narratives and visualizations tailored to senior leaders and cross-functional stakeholders.
Mentor colleagues and raise technical standards by modeling techniques, coding standards, and analytical best practices.
Collaborate across functions to ensure analytical solutions are scalable, adopted, and aligned with enterprise objectives.
Monitor analytical, AI, and data trends to identify opportunities, risks, and potential operational or strategic improvements.
Monitor, validate, and maintain data quality, integrity, and consistency across analytical datasets and reporting solutions.
Synthesize complex findings and data inputs into actionable insights, summaries, reports, dashboards, and visualizations.
Advise stakeholders and leadership on trends, risks, opportunities, and analytical findings through clear, concise communication.
Maintain organized documentation for analytical models, reporting logic, datasets, methodologies, and technical processes.
Perform other duties and responsibilities as assigned to support evolving organizational needs.