Engineering specialist : Data Analytics Category: Software Development/ Engineering
Main location: Canada, Quebec, Montre9al
Position ID:J0526-2518
Employment Type: Full Time
Position Description: Looking to build solid analytical pipelines and influence architectural decisions?
This mandate places you at the center of data transformation, where every model matters. Join us at CGI !
In this mandate, the Analytics Engineer plays a key role at the intersection of data engineering, architecture, and business analytics. The role focuses on transforming raw data into reliable, high-performing, and actionable analytical models. Working closely with business teams, data engineers, and data architects, the engineer ensures data quality and alignment with business needs while delivering measurable value. The role also involves contributing to the evolution of the analytics platform and participating in architecture decisions.
Work arrangement: Hybrid, 3 days/week in the office
Location: Montreal
Your future duties and responsibilities:• Develop and maintain analytical data models for reports and dashboards
• Translate business requirements into clear and well-documented data transformations
• Develop and maintain data transformation pipelines (ELT/ETL)
• Participate in analytical architecture decisions (models, standards, semantic layers)
• Collaborate with Data Architects on data modeling initiatives
• Analyze data from multiple sources (e.g., SAP) to ensure quality and consistency
• Ensure data quality through testing, validation, and anomaly handling
• Document transformations, models, and business definitions
• Collaborate with Business Analysts to validate metrics and KPIs
• Contribute to the continuous improvement of the analytics platform
• Act as a reference for best practices in analytical modeling and SQL
Required qualifications to be successful in this role:• Bachelor's or Master's degree in Computer Science, Analytics, or related field
• Strong expertise in advanced SQL and data transformation
• Solid understanding of dimensional modeling
• Strong knowledge of Power BI best practices
• Understanding of data architecture concepts
• Experience with modern BI environments (e.g., Snowflake - an asset)
• Experience with dbt (an asset)
• Experience with SAP or ERP systems
• Ability to bridge technical and business perspectives
• Ability to explain complex data concepts to non-technical stakeholders
• Strong rigor and focus on data quality and maintainability
• Strong organizational and prioritization skills
• Collaborative and proactive mindset
• Excellent communication skills in French and English*
• Experience in agile environments
Work arrangement: Hybrid, 3 days/week in the office
Location: Montreal
*The ability to communicate in English, both orally and in writing, is a requirement as the person in this position will be required to collaborate regularly with colleagues and partners in the United States and Europe.
CGI offre une estimation raisonnable de la fourchette salariale pour ce poste. Le calcul de cette fourchette de9pend de divers facteurs, notamment le niveau de compe9tence, le marche9 ge9ographique, l'expe9rience, la formation ainsi que les licences et certifications professionnelles. Les de9cisions en matie8re de re9mune9ration de9pendent des particularite9s de chaque cas. Une estimation raisonnable de cette fourchette salariale se situe entre 70 000$ et 135 000$. Ce poste est vacant.
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Use of the term 'engineering' in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.
Skills: - English
- French
- Data Analysis
- Microsoft PowerBI
- Snowflake
- SQL
- Team Collaboration
