Sr. Data Analyst - Finance

Responsibilities

• Partner with our Head of Finance as the lead data analyst for the finance team, scoping analytical needs and turning open-ended questions into rigorous, data-driven answers.
• Design and build the finance data layer in Snowflake, including clean, well-documented data models and pipelines that bring together ERP, billing, payroll and operational data into one trusted source of truth.
• Use AI and automation to remove manual finance work. That includes automated reconciliations, anomaly detection, self-serve reporting and AI-assisted analysis that speeds up month-end and planning cycles.
• Build and manage finance’s BI dashboards in Looker, giving leadership real-time visibility into revenue, margin, operating expenses and cash.
• Use advanced SQL to explore large, complex datasets and find what’s driving revenue, margin and cost performance.
• Apply statistical methods (e.g., regression, time-series forecasting, driver analysis) to improve forecast accuracy and support budgeting and long-range planning.
• Go beyond surface-level numbers to explain the “why” behind financial trends, quantify opportunities and deliver clear recommendations.
• Analyze operating expenses, headcount and vendor spend to find efficiencies and protect profitability as we scale.
• Work with Data Engineering to set data definitions, improve data quality and build reusable data assets for advanced analytics and machine learning.
• Turn complex analytical findings into clear, concise insights for the executive team and the board.

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