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Lead Data Analyst
LinkedIn Recruiter Post
RBC seeks a Lead Data Analyst to drive enterprise data platform initiatives, acting as a technical lead for data flow, AI/ML, and analytics.
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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