BI Analyst at Dollarama
Date: 6 hours ago
City: Mont-Royal, QC
Contract type: Full time
Job Summary
We are looking for a highly experienced hybrid profile capable of combining:
Key Accountabilities
We are looking for a highly experienced hybrid profile capable of combining:
- expertise in Power BI development (modeling, DAX, performance, governance),
- Strong business analysis skills in BI (requirements analysis, workshops, documentation).
Key Accountabilities
- Lead workshops with stakeholders (Finance, Operations, Merchandising, Logistics, etc.) to understand and formalize analytical needs.
- Translate business requirements into clear functional specifications (wireframes, data dictionaries, transformation rules, metrics and calculation rules, etc.).
- Play an active role in BI governance: consistency, standardization, data quality and integrity.
- Design, develop, and optimize Power BI data models (Direct Lake, Import, DirectQuery).
- Develop interactive, high-performing, and visually consistent reports that comply with internal standards.
- Provide support for reports and dashboards.
- Adhere to best practices regarding security, RLS, performance, etc.
- Act as the primary point of contact between the BI team and business departments.
- Contribute to the continuous improvement of BI standards, templates, processes, and best practices.
- Define and maintain functional and technical documentation for BI solutions.
- Minimum 3 – 5 years of experience in BI.
- At least 3 years of experience in Power BI development.
- Significant experience as a BI business analyst.
- Knowledge of the retail or manufacturing sector (asset).
- Experience in a SAP environment (strong asset).
- Expertise in Power BI.
- Experience with Microsoft Fabric, Notebooks, Dataflows, Pipelines, Lakehouse (major asset).
- Mastery of star schema modeling and medallion architecture.
- Proven experience in functional analysis, requirements gathering, workshops, UAT.
- Excellent documentation skills.
- Strong understanding of BI architectures and data warehouses.
- Ability to understand source tables, data flows, conceptual and logical models.
- Intermediate or advanced SQL (an asset).
- Excellent communication and ability to simplify complex concepts for non-technical audiences.
- Proactive, detail-oriented, and customer-focused.
- Ability to manage multiple priorities and contexts simultaneously.
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