Business Intelligence Engineer III, Workday and AI Copilot
About The Position
A specialized mid-level technical professional who independently architects, engineers, and optimizes full-stack data products. This role serves as a technical authority in designing complex, end-to-end decision support systems and is responsible for the full product lifecycle, from consultative systems analysis and backend data engineering to frontend application architecture and user experience engineering. The position engineers the department’s analytics applications, exercising discretion to solve novel technical problems. Examples include building complex interactivity patterns, optimizing end-to-end application performance, and designing custom data integration logic for specific business use cases.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field; equivalent experience may be accepted in lieu of the degree.
- Three years of progressive experience in BI Engineering, Data Product Development, or Full Stack Analytics.
- Experience independently architecting and managing the full lifecycle of complex data products, from raw data to finished application.
- Experience in data transformation and ETL development, such as SSIS or ADF, to support reporting needs.
- Workday Reporting Training Certification and AI/Copilot certification or another Microsoft certification, such as Azure or Fabric. The first certification must be completed within one year of the start date, and the second within six months of completing the first.
- Strong proficiency in Tableau and Power BI, including advanced interactivity and complex DAX/LOD expressions.
- Advanced SQL skills, including execution plan analysis and query optimization for visualization tools.
- Advanced proficiency in BI application engineering with Tableau and Power BI, including complex calculations and performance tuning.
- Expert SQL skills and advanced DAX or M (Power Query) skills.
- Ability to work across backend data engineering (SQL/ETL) and frontend application design (visualization/user experience).
- Familiarity with BI CI/CD pipelines, such as Azure DevOps and Tabular Editor, and version control using Git.
- Excellent technical communication and ability to translate complex business problems into engineered solutions.
- Ability to work independently, manage multiple complex projects, and define technical strategy.
Responsibilities
- Architect, engineer, and optimize full-stack data products.
- Design complex, end-to-end decision support systems.
- Manage the product lifecycle, including consultative systems analysis, backend data engineering, frontend application architecture, and user experience engineering.
- Engineer the department’s analytics applications.
- Solve novel technical problems, including developing complex interactivity, optimizing application performance, and designing custom data integration logic.
- Develop data transformations and ETL to support reporting needs.
- Independently manage complex data product lifecycles, from raw data through finished application.
Benefits
- A comprehensive benefits package is included for eligible positions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
