Senior Business Intelligence Engineer

BFL Canada

$90K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, IT, or related field; Master's preferred.
  • 4 to 7 years of experience in Business Intelligence or Data Analytics.
  • Experience delivering end-to-end BI solutions in a corporate setting.
  • Knowledge of the insurance industry or similar data domains.
  • Strong expertise in Power BI and SQL with relational databases.

Responsibilities

  • Build and maintain Power BI reports and dashboards.
  • Develop and manage row-level security (RLS) modules.
  • Create Business cubes for dataset curation.
  • Conduct data analysis to support business needs.
  • Collaborate with data engineering teams for effective BI solutions.
  • Identify reporting gaps across business domains.
  • Work within Agile methodology to deliver solutions.

Benefits

  • Work in a dynamic environment with a growth mindset.
  • Collaborate with cross-functional teams.
  • Opportunity to explore data science initiatives.
  • Hybrid work model with flexibility.
  • Focus on mentoring and knowledge sharing.
Full Job Description
We are looking for a Senior Business Intelligence Engineer to join our Business Intelligence team in our Montreal, Toronto or Vancouver 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.


#LI-Hybrid

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