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Added 2 mins ago
Mergers and Acquisitions Analyst
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Full-time
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Pomerleau

Data & Information System Analyst

Montreal, QC, Canada

Experience: Minimum of 5 years of experience in a Data Analyst role, ideally within an HR environment.
Posting language: English
Posted: Sep 29, 2026

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Original job description

Job Description

Ready to build your career? We want to hear from you.

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
Career growth 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. If this speaks to you, apply for this role or connect with one of our recruiters to learn how we can support you throughout the process.

General Information

Job Location

Montreal, QC

Date Published

29-Sep-2026

Department

Talent & Culture

Employment Type

Permanent

Working Arrangement

Hybrid

Role Type

Full-Time

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More about this job

Responsibilities

The HR Data Analyst will structure, maintain, and leverage HR data to support predictive analytics, intelligent automation, and AI-driven initiatives. They will also develop Power BI dashboards and ensure data quality and governance across various HR systems.

Requirements

Candidates must hold a bachelor's degree and have at least 5 years of experience in a data analyst role, preferably within an HR environment. Proficiency in data modeling, Power BI, and experience with HR systems like SAP SuccessFactors are essential.

Skills

Data modeling
Power BI
SAP SuccessFactors
HRIS
Data transformation
Predictive analytics
AI initiatives
Business intelligence
SQL
Azure
Microsoft Fabric
DAX
Data governance
Excel
Data visualization
Feature engineering

Benefits

RRSP with up to 5% employer matching
Hybrid work model
Employee stock ownership program
Career growth opportunities
Transit pass reimbursement
Minimum 4 weeks of vacation

Visa sponsorship

Not detected in the job text

Keywords

HR Data Analyst
SAP SuccessFactors
Cornerstone
Avature
Power BI
Data Modeling
Predictive Analytics
AI
Machine Learning
Azure
Microsoft Fabric
SQL
DAX
Data Governance
HRIS
KPIs
Data Transformation
Feature Engineering
Construction Industry
Business Intelligence
Data Pipelines
Power Query
Data Traceability
HR Analytics
Workforce Segmentation
Employee Attrition Prediction
Data Audits
HR Strategy
Talent Management
Data Standards

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