Business System Analyst

Job Description Insight Global is searching for a Senior Business Data Analyst to join our client in the healthcare industry. The successful candidate will ensure investment applications provide complete, accurate, and timely information to business users each day. The role safeguards data integrity and availability across investment systems through reconciliation, data quality monitoring, pricing integrity, security master and reference data maintenance, and oversight of trade capture across platforms. The individual designs and implements data quality controls, supports data governance best practices, and develops processes and controls for Investment data that enable investment decision-making. The position also manages data vendors to deliver on user requests and to ensure compliance with our client's vendor management framework. Success requires strong analytical capability, sound business judgment, clear communication skills, and the ability to thrive in a fast-paced environment with tight timelines and critical deadlines while contributing actively to team objectives. This is a full-time role located in downtown Toronto. Required Skills & Experience - 7+ years of experience in investment and financial systems administration/implementation or investment data management. - Post-secondary education in finance or equivalent experience. - Strong knowledge of investment management concepts and instruments, including marketable securities, derivatives, private placements and real estate. - Highly analytical with strong consulting and problem-solving skills; persistence in addressing root causes is essential. - Excellent interpersonal and written/verbal communication skills; able to collaborate effectively with stakeholders at all levels and external partners. - Strong understanding of capital market space including front office, middle and back-office processes and the supporting technical applications. - Ability to understand and navigate multi-system investment environments and how different user groups consume and rely on data. - Knowledge of accounting and performance reporting requirements is an asset. - Proficiency with investment platforms and related tools (e.g., SimCorp Dimension, GoldenSource, SAP HANA, Snowflake, Bloomberg, FundApps and vendor-based front-office trading applications). - Experience with data quality tools (e.g., Precisely DQ+) and procedures, relational data concepts, and report development. - Proficiency with SQL and Python, and exposure to ETL and business intelligence/reporting tools are strong assets, advanced Excel skills. - A.I. fundamentals especially in generative A.I. and applicability to process automation. - Understanding of valuation and pricing methodologies across asset classes is an asset. - Experience managing data vendors, including contract support, invoice reconciliation, and vendor negotiation/evaluation. - Conceptual knowledge and experience with Master Data Management (MDM) technologies. - Business analysis experience (e.g. requirements, process mapping, testing and stakeholder management). Nice to Have Skills & Experience - Related Masters Degree - CFA - Pension Plan Experience Compensation: $120k-130k/year Exact compensation may vary based on several factors, including skills, experience, and education. We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position. This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

The role ensures the integrity and availability of investment data through reconciliation, quality monitoring, and reference data maintenance. It involves designing data quality controls, managing data vendors, and supporting investment decision-making processes.

Candidates need over 7 years of experience in investment systems or data management and a post-secondary education in finance. Proficiency in SQL, Python, and investment platforms like SimCorp Dimension or Snowflake is highly valued.

• SQLPreferred
• PythonPreferred
• Business analysisPreferred
• Microsoft ExcelPreferred

Identified from the job description. Confirm important requirements above.

• Investment Data Management
• Financial Systems Administration
• SQL
• Python
• Business Analysis
• Data Quality Monitoring
• Master Data Management
• Vendor Management
• Process Mapping
• Stakeholder Management
• ETL
• Business Intelligence
• Generative AI
• Excel
• Capital Markets Knowledge
• Data Governance

• Finance & Accounting
• Data & Analytics
• Consulting
• Technology
• Healthcare

Minimum education

Bachelor’s degree

Minimum experience

7+ years

Apply by

Sep 11, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available