Senior Data Analyst

Myticas LLC; Montreal (administrative region); On-site; CAD 80,000 - 100,000; Full time

Job summary

A prominent financial institution in Montreal seeks a Senior Data Analyst to support its Security Office. This role involves ensuring regulatory compliance related to anti-money laundering and tax evasion, while guaranteeing high data quality and stakeholder coordination. Candidates should have strong experience in data analysis and data modeling, with proficiency in Python and SQL. The role offers the opportunity to tackle complex data sets and design predictive analyses, contributing significantly to modernization initiatives.

Qualifications

• Strong experience in data analysis and data modeling.
• Proficiency in Python, SQL, and scripting languages.
• Solid knowledge of relational databases and data structures.

Responsibilities

• Analyze and manipulate complex datasets to support regulatory initiatives.
• Identify trends, patterns, and insights for business decisions.
• Design and develop data models and predictive analyses.

Skills

Data analysis and data modeling

Python

SQL

Data visualization tools

Analytical thinking

Communication skills

Job description

Our client, a large Canadian financial institution , is seeking a Senior Data Analyst to support its Security Office as part of a major modernization initiative involving issuer core banking systems. The role will focus on regulatory compliance related to anti-money laundering (AML) and tax evasion , while ensuring high data quality, proactive change management, and effective stakeholder coordination.

Key Responsibilities

• Analyze and manipulate complex datasets to support regulatory and security initiatives
• Identify trends, patterns, and insights to support business and compliance decisions
• Design and develop data models and predictive analyses
• Build interactive dashboards and reports to clearly communicate insights
• Query, manage, and maintain structured and relational databases
• Support data quality, governance, and compliance requirements
• Collaborate with security, compliance, technology, and business stakeholders

Required Skills & Qualifications

• Strong experience in data analysis and data modeling
• Proficiency in Python, SQL , and scripting languages
• Solid knowledge of relational databases and data structures
• Experience with data visualization tools (dashboards and reporting)
• Strong analytical, critical‑thinking, and problem‑solving skills
• Ability to communicate insights to both technical and non‑technical audiences

Nice to Have

• Experience within financial services or banking environments
• Exposure to AML, tax compliance, or regulatory data initiatives
• Experience supporting large transformation or modernization programs