Business Intelligence Developer

About the role

The Business Intelligence Developer owns our data platform end to end, from POS source system ingestion through Microsoft Fabric to the Power BI dashboards our teams use every day. This role is the data and analytics subject matter expert on the IT team and works closely with the Revenue Manager and Finance to turn raw ticketing and point-of-sale data from multiple POS systems into reporting the business can rely on. As the only IT team member based at this location, the role also handles occasional Level 1 IT tasks that need to be done in person (no more than about four hours per week) and works a hybrid schedule, with on-site attendance expected when required.

Early priorities include stabilizing core pipelines, closing data quality gaps, and building a clean, well-documented gold layer that business teams can build their reporting on.

Compensation

$80,000-90,000USD/annually

Extended Benefits

What you'll do

Design, build, and maintain Azure Data Factory pipelines that ingest data from multiple POS systems into Microsoft Fabric, including incremental loads, error handling, and data quality checks

Architect and manage the Fabric lakehouse/warehouse (bronze, silver, and gold layers) and handle platform administration: capacity and cost management, gateway configuration, workspace security, and monitoring and alerting for pipeline failures and data freshness

Own the database estate end to end, including a small on-premises SQL Server footprint supporting in-house applications: backups and recovery, patching and upgrades, performance tuning, security and access, and other database needs as they arise

Design star schemas and semantic models and write DAX measures for core business metrics such as attendance, admissions revenue, per capita spending, and operational KPIs

Work directly with business teams to understand what they need, then design and build Power BI dashboards with them for complex or high-visibility use cases; administer the Power BI service: workspaces, refreshes, row-level security, and app distribution

Partner with the Revenue Manager, Finance, and other stakeholders to translate reporting needs into well-structured, reusable data solutions, and support self-service BI and end-user enablement

Serve as the data and analytics SME within the IT team: define data standards and documentation, share knowledge with peers, and evaluate new Fabric capabilities as the platform evolves

As the only IT team member on site at this location, handle Level 1 tasks that need to be done in person (hardware setup and swaps, printer and peripheral issues, hands-on troubleshooting), up to about 4 hours per week; remote support is handled by the team in Vancouver

Other duties as assigned

Strong SQL skills: complex joins, window functions, CTEs, performance tuning

Intermediate to advanced DAX: time intelligence, filter context, iterator functions

Power BI semantic modeling (star schemas, relationships, import vs. DirectQuery/Direct Lake trade-offs), report development, and service administration

Able to translate stakeholder reporting needs into clear, actionable reporting

Self-directed: comfortable owning a domain and setting priorities with minimal oversight while collaborating across a cross-functional IT team

Comfortable handling occasional hands-on Level 1 IT tasks, such as desktop, printer, and peripheral troubleshooting, with a customer service mindset

Education & Experience

EDUCATION

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

IDEAL EXPERIENCE: You won’t need every item on this list. If you meet most of it, we encourage you to apply.

5+ years in data engineering, analytics engineering, or a combined BI/engineering role, including time owning pipelines or a data platform end to end

Hands-on Azure Data Factory experience: pipeline design, copy activities, data flows, triggers, parameterization

Microsoft Fabric (lakehouse, warehouse, or both), or a strong background in related Microsoft data technologies (Synapse, Azure SQL, SSAS) with willingness to go deep on Fabric

SQL Server administration for on-premises workloads: backup and recovery, patching and upgrades, instance and security configuration, and performance troubleshooting

Experience working with transactional data from ticketing or POS systems

Preferred: Python/PySpark; integrating multiple source systems with differing data models; attraction and visitor metrics (attendance and admissions revenue, per capita spending, advance bookings and booking pace, capacity utilization and yield); Git/version control; Fabric Data Activator, notebooks, or real-time analytics; small-team background wearing multiple hats

Welcoming All Applicants

At Flyover, we value a strong team built on respect and professionalism. We seek individuals who bring talent, enthusiasm, and a commitment to great guest experiences. Our hiring decisions are based on skills and qualifications, as well as alignment with our mission and values.

We evaluate qualified applicants without regard to race, color, age, religion, gender, sexual orientation, disability, veteran status, and other protected characteristics. To handle this job successfully, any person hired must be able to perform each task effectively. We welcome all applicants and are happy to provide accommodation upon request.

Thank you for your interest in this opportunity. To ensure a smooth process, we kindly request that candidates refrain from calling about the status of their application. Only those selected for an interview will be contacted. We appreciate your understanding.