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Analyste de données BI / BI Data Analyst

Genetec
Montréal, CAN
Full-time
Mid
Onsite
Discovered 1 weeks ago

Full Job Posting

Job Overview:

We are seeking a high-caliber Business Intelligence Data Analyst to join our Information Architecture & Analytics team. In this role, you will serve as the strategic bridge between our core business processes, operational source systems, and enterprise data warehouse ecosystem.

As a BI Data Analyst, your focus will be on data profiling, solution architecture design, impact analysis, and delivery management. You will work extensively across a Microsoft-heavy environment—encompassing on-premises SQL Servers, SSIS, SSAS, Azure Cloud Databases/Data Lakes, and Microsoft Fabric/Power BI. While dedicated Data Engineers own the backend pipeline and migration development, you will design the blueprints, author technical documentation, write analytical SQL queries, build business-facing Power BI semantic models and reports, and direct the engineering team through implementation.

Your day at a glance:

Data Warehouse Solution Design & Engineering Oversight

Perform deep-dive data profiling and analyze source system characteristics, schemas, and architecture to design target implementations for our enterprise data warehouse ecosystem

Author comprehensive technical artifacts, including Entity-Relationship Diagrams (ERDs), source-to-target mapping, data lineage documentation, and functional specifications

Collaborate with a team of Data Engineers to ensure designed warehouse additions, ETL patterns, and batch integrations are implemented accurately and according to plan

Power BI, Semantic Modeling & Operational Support

Develop, maintain, and optimize robust, enterprise-grade Power BI dashboards and Microsoft Fabric semantic models (including DAX calculations, relationships, and security policies)

Profile and inspect data using SQL SELECT queries across on-premises databases and Azure/Fabric SQL analytics endpoints to guide engineering decisions and validate data quality

Analyze, coordinate, and execute targeted data cleanup initiatives and mass data update operations within operational systems when required

Handle complex ad-hoc data extract and analytical requests to support executive and departmental decision-making

Business Process Analysis & Downstream Impact Management

Analyze evolving business processes to determine their structural impact on our broader reporting and data ecosystem

Conduct proactive impact analyses when source system behaviors, schemas, or application structures change—identifying affected downstream reports, business processes, and key stakeholders

Coordinate cross-functionally with Data Analysts and Data Engineers to prioritize, execute, and validate the required remediation work across affected pipelines and reports

Batch Integrations & IT Solutions Consulting

Analyze, design, and prepare technical integration documentation for batch Integrations between operational systems, overseeing data engineering execution

Partner with internal IT application and infrastructure teams during the design phase of new software solutions, providing analytical input to flag backend designs or schemas that violate data modeling best practices

Lead the analytical planning, designing, validation & implementation for data migration projects when introducing new enterprise solutions, guiding data engineers through execution

What makes you a great fit:

3–5+ years of experience in a Business Intelligence Analyst, Business Process Analyst, Data Analyst or similar role within an enterprise IT environment

Experience working in hybrid environments transitioning from SQL/SSIS workloads into Microsoft Fabric or Azure cloud architecture

Prior experience with formal IT change management and project delivery frameworks

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline

Master's degree or MBA considered an asset

Fluent in French and English, both verbal and written (this role requires interaction with our international collaborators and customers)

Your technical expertise:

Power BI & Microsoft Fabric: Hands-on experience developing semantic models, DAX, row-level security (RLS), and Power BI reports within a Fabric ecosystem

Relational Databases & SQL: Strong proficiency in writing complex SQL queries for data profiling, source validation, and schema inspection across Microsoft SQL Server (On-Premises & Azure)

Enterprise Architecture Familiarity: Technical understanding of Azure Data Lakes, SSAS tabular models, and SSIS/Fabric data integration patterns

Domain Knowledge: Hands-on experience working with core business domain data originating from Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and operational business systems

Data Modeling & System Design: Ability to create formal ERDs, data flow diagrams, and source-to-target mapping documentation

Leadership & Stakeholder Management: Excellent communication skills with a track record of effectively managing business stakeholders and directing engineering teams through technical delivery

Let’s talk perks!

Attractive compensation package

Training Tuition Reimbursement Program

Work-life balance with a flexible working schedule

Subsidized meals in our amazing Bistro (Les Cordons Bleus)

Free, unlimited coffee and fruits

Private, free parking for all employees

Onsite fitness facility with personal trainer, and multiple wellness and health workshops

If you’d like to see what the work environment at Genetec looks like, check out our corporate video: https://youtu.be/EupvfTWhRww?si=OuODVl0xkIFqdPZA

We know that diverse backgrounds and experiences bring great value to our teams. Even if you don't think you tick all the boxes, we still encourage you to apply - your profile may surprise us!

Thank you for your application, but please note that only selected candidates will be contacted. Head-hunters and recruitment agencies may not submit resumés/CVs through this Web site or directly to managers.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline

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