BI Developer

Intelcom | Dragonfly

With more than 100 sorting stations and operations across three continents, Intelcom | Dragonfly is Canada’s leader in last-mile logistics. Our vision is clear: to deliver fast, accurate, and reliable service powered by cutting-edge technology.

A Strategic Role at the Heart of Logistic

Responsibilities

• Collaborate with stakeholders to understand the business problem, decision, data, and analytical requirements before defining a solution.
• Translate business needs into clear functional and technical requirements, including business rules, data definitions, transformation logic, workflows, and acceptance criteria.
• Own assigned BI solutions from requirements and detailed design through development, validation, User Acceptance Testing, deployment support, and continuous improvement.
• Challenge unclear or duplicative requirements and identify when an existing solution can be extended rather than creating new reporting.

Intelcom | Dragonfly

With more than 100 sorting stations and operations across three continents, Intelcom | Dragonfly is Canada’s leader in last-mile logistics. Our vision is clear: to deliver fast, accurate, and reliable service powered by cutting-edge technology.

A Strategic Role at the Heart of Logistic

Responsibilities

• Collaborate with stakeholders to understand the business problem, decision, data, and analytical requirements before defining a solution.
• Translate business needs into clear functional and technical requirements, including business rules, data definitions, transformation logic, workflows, and acceptance criteria.
• Own assigned BI solutions from requirements and detailed design through development, validation, User Acceptance Testing, deployment support, and continuous improvement.
• Challenge unclear or duplicative requirements and identify when an existing solution can be extended rather than creating new reporting.

Business Requirements and Solution Ownership

• Collaborate with stakeholders to understand the business problem, decision, data, and analytical requirements before defining a solution.
• Translate business needs into clear functional and technical requirements, including business rules, data definitions, transformation logic, workflows, and acceptance criteria.
• Own assigned BI solutions from requirements and detailed design through development, validation, User Acceptance Testing, deployment support, and continuous improvement.
• Challenge unclear or duplicative requirements and identify when an existing solution can be extended rather than creating new reporting.

BI Development and Data Modeling

• Develop and maintain BI solutions using Power BI or similar tools, SQL, and sound data and semantic modeling practices.
• Reuse and extend existing reports, governed datasets, semantic models, measures, and common definitions before introducing new report-specific logic where appropriate.
• Contribute to solution architecture and detailed design in collaboration with senior BI developers and Data Engineering.
• Document solutions sufficiently to support maintainability, knowledge transfer, and ongoing support.

Quality, Validation, and Support

• Develop and document test scenarios and validate reports, dashboards, datasets, and business logic before release.
• Prepare and accompany users through User Acceptance Testing and support adoption of delivered solutions.
• Participate in incident and problem resolution, identify root causes, and propose sustainable solutions and action plans.
• Apply a strong quality mindset to data accuracy, reliability, and solution performance.

Continuous Improvement and Self-Service

• Identify and recommend opportunities to improve performance, automate repetitive work, reduce duplication, and simplify existing solutions.
• Support and train application super users and contribute to progressively enabling governed self-service.
• Share knowledge with colleagues and contribute to reusable practices, documentation, and team standards.
• Proactively propose practical improvements rather than waiting for detailed direction.

Key Performance Indicators (KPIs)

• Accuracy and reliability of BI solutions and business logic.
• On-time delivery of assigned BI solutions and quality of validation before release.
• Reuse of existing governed datasets, semantic models, measures, and reporting capabilities where appropriate.
• Reduction of recurring manual work, duplicate logic, and avoidable support issues.
• Adoption and usability of delivered solutions by business stakeholders.
• Quality of documenta