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At the heart of Pomerleau’s HR strategy, the HR Data Analyst will play a key role in structuring, maintaining, and leveraging HR data to support advanced use cases such as predictive analytics, intelligent automation, and AI-driven initiatives. The HR Data Analyst will work closely with HR, IT/AI, and Data teams. This role combines expertise in HR data, data modeling, and an understanding of AI and business intelligence applications, with a strong focus on delivering business value.

Key Responsibilities

- HR Data Transformation
- Map, document, and structure HR data sources, including SAP SuccessFactors (Employee Central, Compensation, Performance, Succession),
- Cornerstone (LMS), Avature CRM (Recruitment), and other internal systems.
- Participate in the transformation of HR data with IT teams toward standardized, AI-ready data models.
- Identify and address data quality issues (completeness, consistency, duplication) through regular audits.
- Define and maintain data models designed for analytics and AI use cases.
- HR Analytics and Business Intelligence
- Develop and enhance Power BI dashboards.
- Calculate and validate key HR KPIs, including headcount, turnover rates (voluntary, involuntary, rolling 12-month trends, etc.), time-based variations, predictive analytics, and more.
- Optimize dashboard readability and visualization impact for executive audiences.
- Support for AI Initiatives
- Prepare and structure data for AI use cases (e.g., employee attrition prediction, workforce segmentation).
- Collaborate with Data and IT teams to integrate HR data into AI environments.
- Contribute to the definition of relevant features and variables for AI models.
- Ensure data traceability and governance for datasets used in advanced analytical and AI models.




- Governance and Best Practices
- Participate in establishing data standards (naming conventions, KPI definitions, data dictionaries).
- Document data transformations and data flows.
- Contribute to the implementation of AI governance processes, including data traceability and audit compliance requirements.
- Stay informed on emerging HR technology and AI trends.

Qualifications And Skills

Education & Experience

- Bachelor's degree in Human Resources, Business Administration, Information Technology, or a related field.
- Minimum of 5 years of experience in a Data Analyst role, ideally within an HR environment.
- Experience with HR systems such as SAP SuccessFactors, Avature, or similar platforms is a strong asset.
- Experience in transformation initiatives involving data, HRIS, or AI is highly desirable.
- Experience with APIs or data integration is considered an asset.
- Knowledge of the construction industry or a multi-site environment is an asset.
- Technical Skills
- Strong expertise in data modeling (schemas, normalization, analytical logic).
- Experience with Power BI, including DAX, data modeling, and visualizations.
- Advanced proficiency in Excel (Power Query is an asset).
- Familiarity with modern data environments such as Azure, Microsoft Fabric, and SQL.
- Understanding of artificial intelligence and machine learning concepts (feature engineering, datasets, data pipelines),



without necessarily being a data science specialist.

Excellent command of both French and English, written and spoken.
- Interpersonal Skills
- Strong analytical mindset and exceptional attention to detail in complex data environments.
- Ability to translate technical concepts into clear and understandable insights for non-technical audiences.
- Self-driven, proactive, and solution-oriented.
- Strong collaboration skills and ability to work in a matrix environment with IT, Finance, and HR Operations teams.

What Pomerleau Offers

- A strategic role within a transforming team, with direct visibility to the Vice President, Talent and the Chief Human Resources Officer (CHRO).
- The opportunity to contribute to a pioneering AI-native HR strategy within Canada's construction industry.
- A stimulating, impact-driven hybrid work environment.
- Access to leading-edge technology platforms, including SAP SuccessFactors and Avature, as well as professional development budgets.
- A strong, growing organization delivering large-scale projects across Canada.

Benefits

- RRSP with up to 5% employer matching
- Hybrid work model for corporate roles
- Employee stock ownership program
- Growth opportunities through real development opportunities
- Transit pass reimbursement — get to work for free
- Minimum 4 weeks of vacation from day one

For the past six years, we've proudly held the distinction of being one of Canada's Top 100 Employers.

Pomerleau is a national leader in construction, delivering major projects across Canada. We believe in creating a workplace where people feel respected, supported, and empowered to grow. Our culture is built on collaboration, trust, and a shared commitment to doing great work.

📌 Data & Information System Analyst (Montreal)
🏢 Pomerleau
📍 Montreal