Sr Business Systems Analyst

Welcome to Sagicor

Sagicor is a leading financial services provider with over 180 years of history, which operates across the Caribbean, in the United States and Canada.

Sagicor currently operates in 19 countries and maintains a strong market position in most of the markets where it operates. Sagicor has four reporting operating segments, Sagicor Life, Sagicor Jamaica, Sagicor Life USA and Sagicor Canada. For the last 12 months ending September 30, 2024, revenues were US$3.9 billion with assets under management of US$23 billion.

Sagicor’s objective is to be a leading insurance and financial services provider of world class products and services to better serve its customers and other stakeholders in its markets. Sagicor is focused on growing its business in the markets in which we operate and actively supporting the communities in which we serve.

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 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

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