Data Analyst & Data Modeler – Product & Insurance Risk (Toronto)

Data Analyst & Data Modeler – Product & Insurance Risk (Toronto)

09 Aug
|
RobertsonLtd.
|
Toronto

09 Aug

RobertsonLtd.

Toronto

Job Overview

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.

Contract Details

- Contract Period: 7 months with potential to extend
- Pay Rate: Starting from $50 per hour
- Location: Toronto, ON
- Location Type: Hybrid
- Business Hours: Monday-Friday; core business hours

Job Responsibilities

- Analyze and document business processes for insurance product development, underwriting assessments, risk scoring, reinsurance allocations, and claims
- Collaborate with actuarial, underwriting, risk, and claims teams to capture requirements
- Translate complex insurance risk rules into detailed Business Requirements
- Analyze and model data related to insurance products, underwriting risk scores, reinsurance structures, and claims lifecycle events
- Develop conceptual, logical, and physical data models supporting insurance risk analytics and reporting layers
- Support development and enhancement of Product & Insurance Risk frameworks that align with regulatory expectations and internal governance
- Assist in mapping reinsurance treaties, ceded and assumed reinsurance rules, and integration touchpoints across policy admin, underwriting, and claims systems
- Document reinsurance business processes, bordereaux reporting requirements, and quality assurance checkpoints
- Data Mapping, Analytics & Reporting
- Develop source-to-target mappings for underwriting, reinsurance, and claims datasets across multiple systems (PAS, CRM, Rating Engines, Claims Platforms)
- Support data quality checks, lineage documentation, and risk metric definitions (e.g., underwriting leakage,



claims ratios, reinsurance, over retention)
- Perform SQL-based data analysis to support underwriting rules, reserving calculations, risk exposure reporting, and claims trend analysis

- Systems, Platforms & Agile Delivery

- Work with cross-functional Agile squads to design workflows, integrations, and platform enhancements supporting underwriting, reinsurance, or claims
- Participate in sprint planning, backlog refinement, and product grooming sessions
- Collaborate with architects and developers to validate technical feasibility of requirements and ensure alignment with architectural patterns
- Serve as a primary liaison between business units (Underwriting, Actuarial, Claims, Reinsurance Operations) and IT delivery teams
- Coordinate with third-party vendors (reinsurance platforms, claims systems, fraud analytics tools, etc.) to support integration and system configuration activities
- Facilitate workshops, requirement walkthroughs, and UAT cycles to ensure clarity, completeness, and alignment

- Power BI & Fabric Analytics Solutions

- Design and develop enterprise‑scale Power BI solutions, including semantic models (star schema, dimensional models)
- Complex DAX measures and calculation groups
- Build and manage Power BI Premium capacity and workspace architecture
- Capacity planning and optimization
- Deployment pipelines (Dev/Test/Prod)




- Row‑level security (RLS) and object‑level security (OLS)
- Design and implement Fabric‑based analytics solutions
- Lakehouse/Warehouse modelling
- Delta tables and medallion architecture (Bronze/Silver/Gold layers)
- Semantic model integration with Power BI
- Optimize datasets for large‑scale, near real‑time analytics across insurance risk domains

Experience & Qualifications

- Bachelor’s degree in information technology, Business Administration, Insurance required
- 5 years of data analyst experience
- Proven experience as a Power BI Developer, with up‑to‑date knowledge of the latest Power BI features and enhancements
- Strong proficiency in SQL and DAX for data transformation, querying, and advanced calculations
- Solid expertise in data modeling, including designing effective and scalable semantic models
- Skilled in data analysis, with the ability to derive actionable insights from complex datasets
- Experience implementing and managing controls within Power BI, including governance, security, and performance optimization
- Domain experience in the insurance industry is an asset

Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

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📌 Data Analyst & Data Modeler – Product & Insurance Risk (Toronto)
🏢 RobertsonLtd.
📍 Toronto

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