Finance Analytics Manager

What You Will Do

• Own the product finance analytics infrastructure — build and maintain the data models and reporting frameworks that power product performance tracking, feature adoption analysis, and product analytics initiatives

• Lead product KPI stewardship — maintain consistent metric definitions and data structures for ARR, GRR, NRR, feature adoption, and retention metrics, ensuring alignment between how metrics are defined at the product level and how they are used in financial models and forecasts

• Design, execute, and measure product experiments — structure A/B tests, build the analytical frameworks to evaluate them, and quantify the financial impact of different product approaches and feature investments

• Conduct deep analytical dives into product trends — go beyond surface-level reporting to understand the underlying drivers of engagement, retention, expansion, and churn, and translate those findings into clear financial narratives for leadership

• Build and maintain dashboards and reporting tools that deliver timely, trusted product performance and revenue visibility to Finance, Product, and executive leadership

• Write and optimize complex SQL queries to extract and transform large datasets from core systems (product, billing, data warehouse) into clean, analysis-ready outputs

• Drive the development of scalable, automated analytics processes, improving accuracy, efficiency, and speed-to-insight across Finance and Product

• Establish and uphold data governance and quality standards within the Finance domain, ensuring a single source of truth for critical metrics used across the business

• Champion a data-driven culture within Finance and Product, helping elevate analytical rigor and consistency as the company scales toward public-company readiness

What You Bring

• Bachelor’s degree in Finance, Economics, Data Analytics, Computer Science, or a related field

• 8+ years total, or 6+ years of relevant experience in FP&A, Data Analytics, or a hybrid role within a high-growth SaaS environment

• Advanced SQL proficiency required; experience with data warehouses (e.g., Snowflake) and product analytics strongly preferred

• Experience with BI and visualization tools (e.g., Tableau, Looker, Power BI)

• Hands-on experience designing and measuring experiments — structuring A/B tests, defining success metrics, and quantifying the financial impact of results

• Experience conducting open-ended analytical investigations — comfortable starting from a trend or anomaly and independently structuring an analysis to understand its root cause and financial significance

• Excellent analytical and problem-solving skills; able to structure and communicate complex financial data clearly

• Proven ability to partner cross-functionally with technical and non-technical stakeholders to deliver scalable data solutions

• Strong attention to detail, organization, and ability to manage multiple priorities in a fast-paced environment