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AI Application Analyst
- Insight Global (Bentonville, AR)
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Job Description
The AI Applications Analyst builds smart, scalable tools that automate workflows, surface insights, and make data easier to use through modern AI technologies. This role blends Python development, LLM integration (RAG, agents), and product thinking to create intuitive internal tools that reduce manual effort and enable self‑serve analytics.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Bachelor’s degree in CS, Data Science, Engineering, Business, or equivalent experience
Strong SQL and understanding of relational models
Experience building internal tools or dashboards (Streamlit, Power BI, Tableau, etc.)
Familiarity with ML/LLM concepts or conversational interfaces
Ability to communicate technical concepts clearly
Curiosity and willingness to learn new technologies Proficiency in Python for scripting or application development
Experience with Streamlit, Chainlit, Google ADK, or Vertex AI
Understanding of RAG, agents, or modular data modeling (dbt, LookML)
Experience building monitoring, logging, or QA workflows for AI tools
Background in self‑serve analytics or insight automation
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