Analytics Engineer II bridging business operations, data engineering, and business intelligence to develop trusted data products and AI-enabled analytical capabilities.
Responsibilities
- Apply SQL and data transformation techniques to integrate, validate, and transform complex data
- Design, build, maintain, and enhance curated datasets, semantic models, and reusable analytical products
- Develop and maintain semantic layers, certified datasets, governed metrics, and business definitions
- Prepare and optimize analytical data products and semantic models for AI-enabled and conversational analytics
- Apply established standards for data quality, performance, and governance across analytical data products
Requirements
- Bachelor's degree - BS in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Supply Chain, or a related field
- Nice to have: Supply-chain or Manhattan-system experience
- Nice to have: relevant training or certifications in SQL, analytics engineering, cloud data platforms, data governance, BI tooling, or AI-enabled analytics
- Nice to have: familiarity with AI-enabled analytics, conversational analytics, predictive analytics