Senior Business Intelligence Developer
Cineplex · Toronto, Canada ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Data analytics
- Experience
- 2+ years
- Company size
- 1000+
- Salary
- CAD 85,000 – 110,000 / year
Cineplex · Toronto, Canada ·
Design and deliver Power BI analytics solutions using Databricks SQL, partnering with business teams at Cineplex to build dashboards, optimize reporting, and drive data-informed decision-making.
What you will do:
Job Summary
Reporting to the Manager, Business Intelligence & Insights, the Senior Business Intelligence Developer will design and deliver modern analytics solutions that help drive data-informed decision-making across Cineplex. You will develop Power BI solutions, work with Databricks and enterprise data sources, solve complex data challenges, and partner with business and technology teams to deliver trusted reporting and insights. You will also leverage approved Generative AI and Agentic AI tools to improve development processes, testing, documentation, and overall efficiency.
This is a hybrid position (3 days in the office per week). Office location is 1303 Yonge Street, Toronto.
Key Responsibilities
Build, enhance, and support Power BI reports, dashboards, and data models that deliver meaningful insights to teams across Cineplex.
Develop and optimize Databricks SQL, DAX, Power Query, and reporting solutions to improve performance, reliability, and the overall user experience.
Lead and support the modernization of reporting and analytics solutions, ensuring a smooth transition through testing, validation, and stakeholder engagement.
Investigate data issues and business questions, uncover root causes, define key metrics, and provide actionable recommendations that drive better decision-making.
Collaborate closely with business and technology partners to gather requirements, design solutions, establish governance standards, and support user adoption through training and knowledge sharing.
Leverage approved Generative AI and Agentic AI tools to streamline analytics development, testing, documentation, automation, and stakeholder self-service capabilities.
Requirements
Post-secondary degree or diploma in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or a related quantitative discipline, or equivalent practical experience.
5+ years of progressive experience delivering business intelligence, analytics, or data solutions in complex organizations.
3+ years of advanced Power BI development, including semantic models, DAX, Power Query, Power BI Service, security, and performance optimization.
2+ years of hands-on Databricks SQL experience working with enterprise-scale analytical datasets.
Advanced SQL experience writing, troubleshooting, and optimizing complex analytical queries.
Experience with dimensional data modelling, semantic layers, enterprise KPI development, data validation, and ETL/ELT concepts.
Experience with report, data, or analytics-platform migration, including reconciliation, testing, dependency analysis, and stakeholder acceptance.
Hands-on experience using Generative AI or Agentic AI tools to improve analytics development, testing, documentation, or business workflows.
Experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Python/PySpark, Unity Catalog, Git, Azure DevOps, or CI/CD practices is considered an asset.
Relevant Microsoft Power BI, Microsoft Fabric, Azure, or Databricks certification is considered an asset.
Training or certification related to data governance, analytics engineering, or artificial intelligence is considered an asset.
Skills & Capabilities
Strong analytical and problem-solving skills, with the ability to investigate complex data challenges, identify root causes, and deliver actionable insights.
Ability to translate business needs into scalable analytics solutions, trusted metrics, and meaningful reporting.
Understanding of data governance best practices, including data quality, lineage, metadata, security, and documentation.
Strong communication and stakeholder management skills, with the ability to effectively partner with technical teams, business stakeholders, and senior leaders.
Demonstrated ability to manage multiple priorities, dependencies, risks, and deliverables in a fast-paced environment.
Ability to mentor team members, share best practices, and provide technical guidance.
Understanding of the responsible and effective use of Generative AI and Agentic AI within an enterprise analytics environment.
Inclusion & Diversity
Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.
Accessibility
We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment opportunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at [email protected].
Use of AI
We use AI-assisted tools to help us review applications and support parts of the recruitment process. However, every application is reviewed by our HR team, and all hiring decisions are made by our people, not by AI.
This position is a current vacancy and is being actively recruited to fill an existing role within the organization.
While we appreciate all interest, only those candidates selected for an interview will be contacted.
Wage ($):
$85,000 - $110,000CAD