Senior BI Developer – Executive Analytics & Fabric Platform

At Range Group we believe in the power of the professional travel advisor. We represent over $4.5 billion in annual travel sales. All our investments stem from a common thesis, that travel advisors add real value to a trip. Travel advisors when equipped with technology and 24/7 support are irreplaceable. Equally important is our philanthropy. Range Foundation channels 10% of group profits to social impact. From exploration grants, improved access to education, new discoveries on sea and land, cultural infrastructure, and helping our global neighbors in times of need — we are investing to build a better future. Role Brief We are seeking an experienced Senior BI Developer to help modernize our analytics platform while building executive reporting used by senior leadership. We are currently transforming our analytics environment, migrating legacy SQL Server and Power BI Desktop reporting into a Microsoft Fabric Lakehouse architecture to create a scalable and governed data platform. This role combines executive dashboard development, forecasting analytics, and data platform modernization. The successful candidate will lead the migration of existing BI reporting into Fabric while developing curated datasets and KPI models that power executive reporting. Working closely with the Senior Director of Analytics, this role sits at the intersection of business analytics and modern data platforms, translating business metrics into scalable Fabric-based semantic models that support executive decision-making and future AI-driven analytics capabilities. Key Responsibilities Executive Reporting & Forecasting Design and build executive dashboards in Power BI that provide clear performance insights for leadership Implement dynamic forecasting and run-rate projections Integrate financial assumptions to support profit and margin visibility Develop clear KPI summaries, variance views, and trend analysis Enable drill-down across company, business unit, and operational drivers Semantic Modeling & BI Development Design and optimize Power BI semantic models Standardize KPI definitions and calculations Improve dataset performance and maintainability Consolidate and simplify existing BI models where appropriate Fabric Migration & Curated Layer Development Lead migration of existing BI datasets from SQL Server / Power BI Desktop to Microsoft Fabric Develop curated semantic models and KPI logic on top of the Lakehouse architecture Design business-ready views and metrics within the curated layer to support reporting and analytics Implement Dataflows, governed datasets, and scalable Power BI semantic models Collaborate closely with the Data Engineering team, leveraging Bronze / Silver layers to build trusted business metrics in the curated layer Ensure the Fabric environment supports scalable reporting, self-service analytics, and future AI capabilities Analytics Platform Development Help establish best practices for BI development and data governance Contribute to a scalable analytics environment supporting executive reporting, operational dashboards, and advanced analytics Ensure datasets are documented, reusable, and optimized for performance Required Skills & Experience Strong Power BI development experience (data modeling, DAX, performance optimization) Advanced SQL development skills Experience building executive KPI dashboards Strong experience designing Power BI semantic models, not just building report visuals Experience implementing forecasting or time intelligence models Hands-on experience with Microsoft Fabric or Azure data platforms Experience working with Lakehouse architectures and semantic modeling Ability to translate data & metrics into scalable BI datasets We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application. The Range Group may use artificial intelligence throughout the recruitment process to screen, assess or select applicants for this position. These tools assist our hiring team but do not replace human judgment. Final hiring decisions are ultimately made by humans. We thank all candidates for their interest however only those selected for an interview will be contacted.

The Senior BI Developer will lead the migration of legacy reporting to a Microsoft Fabric Lakehouse architecture while designing executive dashboards and KPI models. They will collaborate with data engineering teams to build scalable, governed semantic models that support leadership decision-making and forecasting.

Candidates must have strong experience in Power BI development, including advanced data modeling, DAX, and performance optimization. Proficiency in SQL and experience with Microsoft Fabric or Azure data platforms is required to translate business metrics into scalable analytics solutions.

• Power BISouhaitée
• SQLSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Power BI
• SQL
• Microsoft Fabric
• Data Modeling
• DAX
• Executive Reporting
• Forecasting
• Lakehouse Architecture
• Semantic Modeling
• KPI Development
• Data Governance
• Azure Data Platforms
• Performance Optimization
• Business Analytics
• Data Engineering
• Business Metrics
• Platform Design And Development
• Data Analysis Expressions (DAX)
• Advanced Analytics
• Artificial Intelligence
• Architectural Design
• Microsoft Azure
• Business Intelligence
• Business Intelligence Development
• Dashboard
• Investments
• Decision Making
• Textiles
• Sales
• Leadership
• Scalability
• Key Performance Indicators (KPIs)
• Relationship Building
• Self Service Technologies
• SQL (Programming Language)
• Travel Advisory
• Trend Analysis
• Drilldown

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Consulting
• Analytics Developer
• Platform Engineer
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Validation Engineers
• Industrial Engineers

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine