Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
About the role
- Senior Financial Strategy & Analytics Analyst at Versapay automating financial reporting and supporting strategic decisions with data insights.
Responsibilities
- Build & Automate Financial Reporting: Take ownership of the data pipelines required for monthly financial reporting. You will replace manual jobs with automated, reliable SQL-based workflows that feed directly into Tableau and Board materials.
- Develop Financial Data Models: Work within our Snowflake environment to create and maintain clean, documented data models that allow the FP&A team to intuitively access core metrics like ARR, NRR, and Gross Margin with confidence.
- Executive & Investor Support: Partner with FP&A leadership to support ad-hoc analysis for Board decks and investor inquiries. You will ensure that the data backing our financial narrative is accurate, traceable, and consistent.
- Econometric Analysis: Execute advanced research projects analyzing our annual transaction volume. You will apply statistical methods to identify macroeconomic trends and correlation, contributing to white papers and strategic market positioning.
- Drive Data Adoption: Act as a subject matter expert for the Finance team, helping them transition from static spreadsheets to dynamic data tools. You will identify opportunities to replace repetitive tasks with automated insights.
Requirements
- 5+ years of experience in a data analytics role with a heavy focus on Finance, FP&A, or Business Operations.
- Advanced SQL Proficiency: You can write complex queries from scratch, optimize performance, and understand data lineage. You don't just query data; you know how to structure it for others to use.
- BI & Visualization: Strong experience building executive-level dashboards in Tableau (or similar) that communicate financial concepts clearly to non-technical audiences.
- Financial Literacy: You have a solid grasp of SaaS metrics (ARR, Churn, Retention) and financial statements. You can converse confidently with Finance professionals about their data needs.
- Statistical Competency: Experience with regression analysis, forecasting, or econometric modeling.
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