Education & Experience Requirements: Master's degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Insights Analyst/Engineer, Strategic Insights Analyst/Engineer, Service Analytics Associate, or related occupation, designing AI analytics, applied machine learning, or data-driven product strategy; or, alternatively, Bachelor's degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Insights Analyst/Engineer, Strategic Insights Analyst/Engineer, Service Analytics Associate, or related occupation, designing AI analytics, applied machine learning, or data-driven product strategy. Prior experience must include the following skills (quantitative experience requirement not applicable to this section): developing data models using Python, SQL, DBT, Databricks, and data pipeline orchestration tools; working with Generative AI frameworks, including LangChain, OpenAI API, or Hugging Face Transformers for prompt optimization; performing predictive modeling, causal inference, and ROI estimation; presenting complex technical concepts to executives through compelling data narratives; and delivering strategic differentiated solutions at enterprise scale cross-domains, including marketing, sales, finance, and service.