Position Summary
The Data Lab team is looking for a detail-oriented and highly analytical Data Analyst with FP&A expertise to support data-driven decision-making across the organization. In this role, you will combine financial planning & analysis capabilities with advanced data analytics to deliver actionable insights to senior leadership and cross-functional business partners. You will play a key role in shaping how the organization leverages data for budgeting, forecasting, performance measurement, and strategic planning within a dynamic insurance and restoration environment. Join us in a fast-paced world where your skills will turn numbers into narratives and make a direct impact on our company’s success.
(This posting reflects an existing vacancy)
Compensation & Benefits
- $80,000 – $95,000 /year (Salary based on skills, qualifications, and experience).
- Annual Performance Incentive Bonus – Percentage of base salary subject to personal and company performance.
- Extended health coverage (medical, dental, vision, etc.) and Employee Assistance Program (EAP).
- Group RRSP, with company matching DPSP.
What You’ll Do
Financial Planning & Analysis
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Budgeting & Forecasting: Support the preparation of annual budgets, quarterly forecasts, and long-range financial plans by consolidating inputs from multiple business units and regional operations.
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Variance Analysis: Analyze monthly financial results against budget/forecast/prior year, identify variances, and prepare management commentary explaining key drivers and discrepancies.
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Financial Modeling: Develop, maintain, and enhance financial models (revenue, cost, profitability, scenario/sensitivity analyses) to support strategic initiatives and investment decisions.
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Management Reporting: Prepare accurate and timely month-end and quarter-end management reporting packages, scorecards, and presentations for senior leadership.
Data Analytics & Insights
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Data Collection & Analysis: Gather, cleanse, organize, and analyze large and complex datasets from multiple sources (ERP, CRM, claims systems, operational databases) to identify trends, patterns, and actionable insights.
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KPI Development & Monitoring: Establish, track, and report on KPIs including regional penetration rates, claims performance, and operational benchmarks to measure business effectiveness.
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Dashboard & Visualization: Design, build, and maintain interactiv