Data Analyst (Wealth Management)
Hiring 3 experienced Data Analysts to support data-driven initiatives in the insurance and wealth management sector. This hybrid role in Toronto requires strong SQL, Azure, and Generative AI skills. Ideal for professionals with capital markets experience seeking a strategic, collaborative environment with potential for extension or full-time hire.
What is in it for you:
• Salaried: $70-75 per hour.
• Incorporated Business Rate: $85-90 per hour.
• 6-month contract with the potential for permanent employment.
• Full-time position: 37.50 hours per week.
• Weekday schedule from 9 am to 5 pm.
• Hybrid work: in-office Tuesday to Thursday.
• Opportunity to work in a dynamic and professional environment.
• Join a passionate and inclusive team of professionals.
Responsibilities:
• Lead sessions with business stakeholders to gather requirements and obtain sign-off.
• Produce and maintain Business Requirement Documents (BRDs), source-to-target mappings (STMs), and related documentation.
• Ensure project teams deliver data assets that align with business needs.
• Facilitate alignment across cross-functional teams and stakeholders.
• Perform data analysis, profiling, and metadata collection.
• Lead User Acceptance Testing (UAT) and secure sign-off from business units.
• Support strategic data initiatives within the Data Office/Engineering team.
• Deliver high-quality data solutions aligned with enterprise data strategy.
• Work collaboratively to improve data sourcing, modeling, and delivery practices.
What you will need to succeed:
• 7–10 years of experience as a Data Analyst, preferably in wealth management (retail, retirement, institutional, or general accounts).
• 2–3 years of working experience with Generative AI and Azure cloud.
• Experience with data-centric projects such as master data management, data integration, and data warehousing.
• Strong experience in big data environments for analytics.
• Proficient in writing complex SQL queries to analyze data and generate business insights.
• Demonstrated ability to deliver data documentation within project timelines.
• Strong verbal and written communication skills for stakeholder engagement.
• Experience with platforms including Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, and Calypso.
• Intermediate to senior-level experience building data infrastructure or working in data lake/warehouse environments.
• Solid knowledge of data modeling, loading, profiling, and validation using SQL.
• Deep experience integrating new data sources into data lake or warehouse architectures.
Why Recruit Action?
Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.
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