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Senior Data Analyst (34698)
Job summary
A large Canadian financial institution is seeking a Senior Data Analyst to support its Security Office in a modernization initiative. The role primarily focuses on regulatory compliance related to anti-money laundering (AML) and tax evasion, ensuring high data quality and effective stakeholder coordination. The ideal candidate will analyze complex datasets, design data models, and build dashboards to communicate insights. Proficiency in data analysis, Python, SQL, and data visualization tools is essential.
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.
Responsibilities
- Analyze and manipulate complex datasets for compliance initiatives.
- Identify trends, patterns, and insights to support decisions.
- Design and develop data models and predictive analyses.
- Build interactive dashboards to communicate insights.
- Manage structured and relational databases.
- Support data quality and compliance requirements.
- Collaborate with stakeholders in security and compliance.
Skills
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.
- 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
- 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
- Experience within financial services or banking environments
- Exposure to AML, tax compliance, or regulatory data initiatives
- Experience supporting large transformation or modernization programs
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.