Senior Business Data Analyst (Asset Management)

Zohorecruit; Toronto; Hybrid; CAD 103,000 - 131,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Zohorecruit is assisting an insurance client in Toronto to hire a Senior Business Data Analyst (Asset Management). You will partner with investment managers and front-office teams to understand data needs, data requirements, and workflows, using SQL and Python to deliver actionable insights.

You'll analyze Aladdin and Bloomberg data, support front-office operations, and communicate findings to senior stakeholders.

Qualifications

• 6-10+ years of experience in data analysis, business analysis, or investment data roles.
• Strong understanding of investment management, including trading workflows 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 or similar financial institutions.
• Ability to understand and communicate using investment management terminology.

Responsibilities

• 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.

Skills

Business analysis

SQL

Python

Investment data

Aladdin

Bloomberg

Data validation

Data storytelling

Tools

Aladdin platform

Bloomberg data

Snowflake

Job description

Senior Business Data Analyst (Asset Management)

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.

What is in it for you:

• Salaried: $75-85 per hour.
• Incorporated Business Rate: $85-95 per hour.
• 12‑month contract with the potential for permanent employment.
• Weekday schedule from 9 am to 5 pm.
• Hybrid: 3 days per week in the Toronto office.

Responsibilities:

• 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.

What you will need to succeed:

Required qualifications

• 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.

Preferred qualifications

• 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.