Sr Business Systems Analyst

IVARI•Toronto, ON

17h•CA$115,000 - CA$135,000

About The Position

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.

Requirements

Bachelor’s degree in finance, Business Administration, Actuarial Science, Computer Science, or related field
8–10+ years of experience in business systems and/or data analysis
Experience within 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
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)

Nice To Haves

CPA, CFA, or actuarial‑related certification is an asset
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

Responsibilities

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
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
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
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
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
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
Provide guidance and support to analysts, as required
Contribute to consistency and quality of analysis practices within the team