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Sr Business Systems Analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: ivari Canada
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Warehousing
Salary/Wage Range or Industry Benchmark: 115000 - 135000 CAD Yearly CAD 115000.00 135000.00 YEAR
Job Description & How to Apply Below

Here’s the job opportunity

We are seeking a Senior Business Systems Analyst to support our IFRS
17 implementation, ERP modernization, and Azure data platform initiatives.

The successful candidate will analyze end-to-end business processes, define data requirements and transformation logic, and support the migration of financial and operational data into our ERP and enterprise data ecosystem.

This position is ideal for someone with strong knowledge of financial reporting, GL structures, and regulatory requirements
, and the ability to translate complex business needs into clear, actionable technical deliverables.

Core Responsibilities Business & Data Analysis
  • Gather, analyze, and document business requirements for IFRS
    17, general ledger (GL), subledger processes, and financial reporting
  • Analyze end-to-end business processes to identify gaps, dependencies, and opportunities for standardization and automation
  • Translate business needs into clear functional and data requirements for engineering and delivery teams
  • Collaborate with stakeholders to review, refine, and validate requirements
Data Mapping & Transformation
  • Map legacy system data to ERP structures, IFRS
    17 data models, and Azure data environments
  • Define and document data transformation logic, business rules, and validation frameworks
  • Produce and maintain source-to-target mappings, data dictionaries, and metadata and lineage documentation
Financial & Regulatory Alignment
  • Collaborate with Finance and Actuarial teams to validate calculations, assumptions, and IFRS
    17 measurement models
  • Support chart of accounts (COA) redesign, including mapping, hierarchy alignment, and reporting structures
  • Provide recommendations to support regulatory compliance, auditability, and financial reporting accuracy
Testing, Validation & Reconciliation
  • Support development and execution of test cases for data validation and financial reporting scenarios
  • Validate outputs across systems and data pipelines to ensure accuracy, completeness, and consistency
  • Support reconciliation between legacy systems, actuarial engines, subledgers, and ERP platforms
Collaboration & Delivery Support
  • Partner closely with Data Engineers, Architects, Finance and Actuarial SMEs
  • Participate in cross-functional discussions and contribute to solution design and delivery
  • Support go-live readiness and post-implementation stabilization
Data Governance & Documentation
  • Contribute to enterprise data governance efforts, including Data quality monitoring, Metadata management and Data lineage tracking
  • Maintain clear, comprehensive documentation to support audit and traceability requirements
Team Contribution
  • Provide guidance and support to analysts, as required
  • Contribute to consistency and quality of analysis practices within the team
What We Pay

$115,000 - $!35,000

Qualifications & Experience Education
  • Bachelor’s degree in finance, Business Administration, Actuarial Science, Computer Science, or related field
  • CPA, CFA, or actuarial‑related certification is an asset
Experience
  • 8–10+ years of experience in business systems and/or data analysis
  • Experience with in insurance or financial services environments
  • Hands‑on experience supporting IFRS
    17 or regulatory reporting initiatives
  • Experience working with financial systems, actuarial data, or ERP platforms
Core Skills
  • Strong understanding of IFRS
    17 concepts (e.g., CSM, cohorts, measurement models)
  • Deep knowledge of GL structures, chart of accounts, and financial reporting processes
  • Experience with ERP systems and translating business requirements into data and system specifications
  • Proficiency in SQL and/or Python for data validation and analysis
  • Strong stakeholder management and communication skills
  • Ability to work independently in a complex, multi-system environment (on Prem and Azure cloud)
Technical Skills (Preferred)
  • Azure data platform familiarity including data lake, warehouse, and Lakehouse patterns
  • Metadata and lineage understanding to support traceability, reconciliation, and audit requirements
  • ETL/ELT process understanding to translate business rules into transformation logic and validate pipeline outputs
  • Familiarity with ERP data structures (GL, COA, subledger flows) to support mapping and integration
Growth Opportunity

This role offers significant opportunities for growth as the organization expands its financial, actuarial, and cloud data capabilities. The successful candidate will have the opportunity to shape the enterprise business analysis framework for IFRS
17, ERP, and Azure data initiatives, influence data governance and quality standards across financial and actuarial domains, own key business processes including GL integration, IFRS
17 data flows, and reporting pipelines, drive continuous improvement across data, process, and system landscapes, lead cross‑functional workshops and become a subject‑matter expert in IFRS
17 and ERP modernization.

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