Summary: Location: Montreal Work Mode: Onsite/in office presence 3x/week Responsibilities: Support the management, quality, and evolution of enterprise architecture information.

Act as a bridge between business stakeholders and technology teams.

Ensure accurate capture, modeling, and maintenance of business, application, data, technology, and AI-related information.

Improve the quality and adoption of architecture data for better decision-making, governance, impact analysis, and strategic planning.

Requirements: Minimum 5 years'' experience in data analysis, architecture data management, business analysis, or similar analytical role.

Strong understanding of data modeling, data mapping, metadata management, and information architecture principles.

Experience developing and maintaining metamodels, taxonomies, standards, data definitions, and reference models.

Experience analyzing and improving data quality, completeness, consistency, and governance controls.

Strong analytical mindset with the ability to investigate complex data sets and recommend solutions.

Ability to document relationships between business processes, applications, data assets, and technology platforms.

Excellent problem-solving skills with a focus on data accuracy.

Strong stakeholder management skills, with the ability to facilitate discussions and gather requirements.

Proven ability to translate complex findings into actionable insights and recommendations.

Strong SQL/Python skills for data extraction, analysis, validation, and reporting.





Experience creating reports, dashboards, and management information to support decision-making.

Excellent written and verbal communication skills.

Preferred Skills: Experience with Enterprise Architecture, Application Portfolio Management, CMDB, Data Governance, or Metadata Management platforms (e.g., LeanIX, Service

Now, Collibra, Ardoq, Bizzdesign, MEGA).

Experience supporting Enterprise Architecture, Business Architecture, Data Governance, or Technology Governance initiatives.

Familiarity with APIs, data integrations, and data synchronization concepts.

Experience with reporting and visualization tools such as Power BI or Tableau.

Experience conducting dependency mapping, impact assessments, or technology landscape analysis.

Understanding of business capability modeling, application portfolio management, or technology lifecycle management.

Knowledge of architecture frameworks such as TOGAF.

Experience supporting technology transformation, cloud migration, or modernization programs.

Skills that will help you in the role: Ability to create simple, compelling visual representations of data and insights. A growth mindset and commitment to continuously learning recent analytical tools and methodologies.

Ability to influence and partner with business stakeholders across divisions.

Strong organizational and prioritization skills, with the ability to manage multiple requests and deadlines effectively.

This role is for an existing vacancy.

📌 Technical Data Analyst (Montreal)
🏢 Axelon Services
📍 Montreal