Sr. Data Analyst - Finance

Engine is the AI-native platform for intelligent travel. We're looking for a Senior Data Analyst to build and own the data and analytics behind Engine's internal finance function. In this role you'll partner directly with our Head of Finance. You'll use data, AI and automation to change how finance gets its insights: faster, more accurate and less manual. You'll build the models, pipelines and analyses that leadership, the board and investors rely on.

Responsibilities

Partner with the Head of Finance as the lead data analyst for the finance team, scoping analytical needs and turning open-ended questions into data-driven answers; Design and build the finance data layer in Snowflake, including data models and pipelines that bring together ERP, billing, payroll and operational data; Use AI and automation to remove manual finance work, including automated reconciliations, anomaly detection, self-serve reporting and AI-assisted analysis; Build and manage finance's BI dashboards in Looker; Use advanced SQL to explore large, complex datasets and find drivers of 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; Explain the drivers behind financial trends, quantify opportunities and deliver clear recommendations; Analyze operating expenses, headcount and vendor spend to find efficiencies; Work with Data Engineering to set data definitions, improve data quality and build reusable data assets; Turn complex analytical findings into clear insights for the executive team and the board

Requirements

Bachelor's degree in Data Science, Statistics, Economics, Finance, Operations Research or a related quantitative field; 5+ years of experience as a Data or Business Analyst, ideally in partnership with Finance or FP&A; Advanced SQL skills and hands-on experience building data models and pipelines; Strong fundamentals in statistics and econometrics, such as regression, hypothesis testing and forecasting; Hands-on experience using AI tools and automation to speed up analysis and eliminate manual workflows; Solid financial literacy, including P&L structure, budgeting and forecasting; Excellent communication skills, including turning complex analyses into crisp narratives for senior leadership; An inquisitive mindset and a desire to dig deeper to understand the "why" behind the data

Nice to have

Experience with dbt; Python skills; Experience with Snowflake and Looker; Familiarity with NetSuite or similar ERPs

Benefits

Competitive base salary; Equity for all employees; Annual bonus for some roles; Bonuses or commissions for some roles; Benefits listed at engine.com/culture; Hybrid-hub model with office or fully remote options