Financial Data Analyst

We are seeking a Financial Data Analyst with a strong blend of FP&A, Data Analytics and Business Intelligence experience. This role will focus heavily on analyzing large SaaS datasets, developing ARR-focused insights, identifying business trends, and supporting executive decision-making through advanced analytics. This is a highly technical finance role. The ideal candidate is comfortable querying large datasets, structuring complex data, analyzing customer-level revenue trends, and translating findings into actionable business strategy. Candidates should have deep familiarity with SaaS business models and key recurring revenue metrics. Primary Responsibilities • Analyze large volumes of customer, subscription, and revenue data to identify performance trends, risks, and growth opportunities. • Build and maintain recurring revenue reporting focused on ARR, MRR, retention, churn, expansion, bookings, and customer lifecycle metrics. • Write complex SQL queries to collect, validate, transform, and analyze large datasets from multiple business systems. • Develop dashboards and executive reporting in Tableau, Power BI, or similar visualization tools. • Partner with Finance, Revenue Operations, Product, Sales, and Executive Leadership to answer strategic business questions through data. • Analyze customer-level data, customer IDs, usage trends, renewals, expansions, and retention performance. • Structure large datasets into meaningful reporting frameworks that drive business decisions. • Identify leading indicators within ARR performance and create scalable reporting solutions around those metrics. • Support annual planning, forecasting, and long-range planning initiatives through advanced data analysis. • Deliver executive-ready insights and recommendations based on quantitative analysis. Required Experience • 5+ years of experience in FP&A, Revenue Analytics, Strategic Finance, Business Analytics, or Financial Data Analytics. • Advanced SQL experience with the ability to write and optimize queries against large datasets. • Expertise developing reports and dashboards in Tableau and/or Power BI. • Strong experience working with SaaS business models and recurring revenue environments. • Experience analyzing ARR and related SaaS metrics. • Ability to work with millions of transaction or customer-level records and identify business trends. • Experience translating raw data into strategic recommendations. • Advanced Excel modeling and analytical skills. Preferred Experience • SaaS company background. • Revenue Operations or Commercial Analytics exposure. • Snowflake, Databricks, Redshift, BigQuery, or similar data warehouse experience. • Experience working directly with customer-level revenue data. • Knowledge of subscription analytics and customer cohort analysis. • Experience supporting executive leadership and board-level reporting. • Exposure to Python for analysis or automation. This role can pay between 45-55/hr on W2 based on years of experience and skill level.