Senior Business Data Analyst (Asset Management)

Looking for a role where your expertise can make a real impact? Our client in the insurance sector is offering an opportunity to contribute to high-profile initiatives within a dynamic team environment that values collaboration, innovation, and continuous improvement.

• Salaried: $75-85 per hour.

• Incorporated Business Rate: $85-95 per hour.

• 12-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: 3 days per week in the Toronto office.

• Business analysis: Partner with investment managers and front‑office teams to understand business needs, data requirements, and system workflows.

• Data analysis: Run SQL queries, perform data validation, reconcile data between systems, and produce actionable insights.

• Front‑office data support: Analyze data from Aladdin, Bloomberg, and other trading/accounting platforms to support investment operations.

• Cross‑system investigations: Use SQL/Python to compare datasets across platforms, identify discrepancies, and interpret meaning from a trading or portfolio‑management perspective.

• Stakeholder communication: Translate technical findings into clear business language for investment managers and senior stakeholders.

• Project & Initiative support: Contribute to ongoing data initiatives within the Investments Data Team, ensuring accuracy, consistency, and alignment with front‑office needs.

• 6-10+ years of experience in data analysis, business analysis, or investment data roles.

• Strong understanding of investment management, including trading workflows, portfolio data, and front-office concepts.

• Hands-on experience with Aladdin or Bloomberg from a data perspective.

• Ability to write and run SQL queries and perform data investigations.

• Experience with Python for scripting or data comparison tasks.

• Background in asset management, pension funds, or similar financial institutions.

• Ability to understand and communicate using investment management terminology.

• CFA Level I, II, III, or an equivalent investment-domain credential.

• Experience working directly in a competitor organization within the investment-management ecosystem.

• Exposure to Snowflake or similar cloud data platforms.

• Ability to translate technical findings into clear business language.

• Ability to understand business needs, data requirements, and system workflows.

• Ability to interpret data meaningfully from a trading, front-office, or portfolio-management perspective.

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.