Westgate Resorts is the largest privately held timeshare company in the world, with 60+ resorts in top destinations like Orlando, Las Vegas, Gatlinburg, Park City, and Myrtle Beach. Recognized by U.S. News & World Report as one of the Best Companies to Work For, we’re committed to creating a supportive, rewarding workplace where our 9,000 Team Members can grow and thrive. Since 1982, we’ve delivered unforgettable vacations through exceptional service, innovation, and community engagement. With the recent addition of VI Resorts by Westgate, our footprint now includes the Pacific Northwest, Hawaii, Canada, and Mexico. Join us and be part of a team that values passion, integrity, and excellence, where your work helps create memories that last a lifetime.
The Business Intelligence Engineer is responsible for designing and maintaining scalable data pipelines, transforming raw data into analytics-ready datasets, and developing robust reporting solutions that support strategic decision-making across Westgate. Approximately 65% of this role consists of backend ETL development using SQL, Alteryx, Python, and Snowflake, and 35% involves building Tableau dashboards, analytical reports, and business insights. The Engineer supports a wide range of business functions including Inventory Control, Yield, Operations, Call Center/Dialer, Loyalty/Owner Engagement, and Executive leadership. This role gathers business requirements, interprets operational logic, and translates them into automated workflows and scalable BI solutions that improve data quality, operational efficiency, and revenue performance.
Backend ETL Development (≈ 65%)
- Designs, builds, and maintains automated data pipelines using SQL, Alteryx, Python, Snowflake, and Oracle.
- Gathers and documents business requirements and operational logic from stakeholders across the org.
- Translates nuanced business rules from Yield, Inventory, Operations, Dialer, and Loyalty into accurate and scalable ETL processes.
- Cleans, transforms, reconciles, and validates large datasets from LMS, TSW, Oracle, and other systems.
- Optimizes pipeline performance, reliability, and data freshness.
- Partners with IT on schema alignment, integration issues, and resolving data flow inconsistencies.
- Maintains documentation for data models, transformation logic, and pipeline dependencies.
Reporting Development & Dashboarding (≈ 35%)