Bachelor's degree in computer science, IT, or related field; Master's is a plus.
4 to 7 years in Business Intelligence or Data Analytics.
Experience delivering end-to-end BI solutions in a corporate setting.
Insurance industry knowledge or experience with similar data domains.
Strong SQL skills and experience with relational databases.
Responsibilities
Design and maintain Power BI reports and dashboards.
Develop and manage RLS modules, updating existing ones as needed.
Curate datasets by building Business cubes.
Conduct data analysis initiatives to support business decisions.
Translate enterprise data structure into effective reporting designs.
Collaborate with data engineering teams and business stakeholders.
Identify reporting and BI needs across various business domains.
Benefits
Dynamic work environment with a focus on career growth.
Opportunity to work on evolving analytics and AI-driven projects.
Chance to engage with a collaborative team supporting talent development.
Full Job Description
We are looking for a Senior Business Intelligence Engineer to join our Business Intelligence team in our Montreal office!
As a Senior Business Intelligence Engineer, you will design and deliver scalable BI solutions that enable data-driven decision-making across the organization. This is a hands-on role with a strong focus on Power BI, combined with a broader, solution-oriented mindset to support evolving analytics and AI-driven initiatives.
You will work closely with business stakeholders, data engineering teams, and BI peers to transform complex data into clear, actionable insights.
If you are career-minded and looking for a dynamic work environment with a growth mindset, you will love working among our team!
Your day as a Business Intelligence Engineer
Build & maintain Power BI reports & dashboards
Understand & Develop RLS modules while maintaining the existing ones
Build Business cubes to curate datasets
Undertake data analysis initiatives to support the business
Understand structure of enterprise data to translate into reporting design
Work with Physical and Logical Data Marts in Azure Synapse and SQL Server
Follow best practices for Power BI report design & BI deliverables in general
Work and collaborate with Data Engineering resources
Explore potential data science initiatives within the existing framework
Collaborate with various Business stakeholders
Identify potential gaps in reporting & BI needs across business domains
Work in Agile framework/methodology
Our ideal candidate
Qualifications & Experience
Bachelor's degree in computer science, Information Technology or related field (Master's Degree would be an asset).
4 to 7 years of experience working in Business Intelligence or Data Analytics.
Proven experience delivering end-to-end BI solutions in a corporate environment.
Insurance industry knowledge or experience working with similar data domains
Technical Skills
Strong expertise in Power BI (data modeling, DAX, performance optimization, visualization best practices).
Strong SQL skills and experience with relational databases.
Solid understanding of data modeling, data warehousing, and BI concepts.
Experience working with cloud data environments (Azure preferred: Synapse, Data Factory, Data Lake).
Experience with ETL processes, data transformation, and working with APIs.
Experience with Python or R for data manipulation or automation is an asset.
Familiarity with Power BI deployment pipelines and CI/CD practices is an asset.
Bilingual with strong verbal and written communication skills in both French and English, as the candidate will be required to interact in English with stakeholders (colleagues and clients) outside Quebec.
Core Competencies
Strong analytical and problem-solving skills with attention to detail.
Ability to quickly understand complex data structures and business processes with limited documentation.
Quick learner with the ability to make connections across disparate data sources and systems.
Strong ability to translate data into clear, actionable insights for business stakeholders
Effective communication and stakeholder engagement skills.
Collaborative mindset with a focus on mentoring and knowledge sharing.
Proactive, adaptable, and able to operate in a fast-paced environment.
