Business Intelligence Engineer

• Compensation: USD 70000 - USD 80000 - yearly

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.

• 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.
• Develop, enhance, and maintain Tableau dashboards used across Inventory, Operations, Marketing, Call Center/Dialer, Loyalty/Owner Engagement, and executive teams.
• Build reporting assets that support forecasting, budgeting, operational oversight, and yield optimization.
• Conduct unit testing and validate output logic to ensure accuracy and consistency.
• Improve report design, automation, usability, and performance for business stakeholders.

Business Support, Analysis & Insights

• Provide analytical and reporting support across multiple operational domains, including:
• Inventory Control & Yield Management
• Operations & Resort Performance
• Call Center / Dialer Performance & Workforce Management
• Loyalty / Owner Engagement & Retention
• Sales, Finance, and Executive Leadership
• Analyze trends, performance drivers, call behavior, channel utilization, and operational metrics to identify risks, inefficiencies, or opportunities.
• Develop insights and recommendations that inform staffing, revenue strategies, inventory allocation, owner engagement, and overall operational efficiency.
• Support ad hoc business questions by building quick-turn analyses and clearly presenting findings.

Cross-Functional Collaboration

• Partners with stakeholders across Inventory, Marketing, Operations, Loyalty, Finance, Call Center, and IT to gather requirements and understand process logic.
• Facilitates requirement‑gathering sessions to ensure ETL workflows and reporting outputs reflect real business rules and KPIs.
• Works with IT to ensure accuracy, alignment, and performance across data sources.
• Collaborates with operational leaders to implement analytical solutions and validate results.

Data Integrity & Quality Assurance

• Performs routine validation, reconciliation, and quality checks across systems and automated workflows.
• I…