À propos
You’ll sit at the intersection of Finance and Revenue Operations — writing queries, structuring and evaluating A/B tests, and building scalable frameworks that give leadership a precise, trusted view of revenue performance and customer economics. You’ll partner cross-functionally with FP&A, Investor Relations, Accounting, and Business Intelligence to drive accuracy, automation, and insight across our key financial metrics.
This is an ideal opportunity for someone who is equal parts technical and financial, thrives in a data‑rich SaaS environment, and is eager to have impact at scale.
What You Will Do:
Own the GTM analytics infrastructure — build and maintain the data models and reporting frameworks that power revenue forecasting, customer acquisition tracking, and ad hoc GTM analytics initiatives
Lead KPI stewardship across the full customer lifecycle — develop and maintain consistent metric definitions and data structures for ARR, GRR, NRR, CAC, LTV, payback period, conversion rates, and other core SaaS metrics, ensuring alignment between how metrics are defined operationally and how they are used in financial models and forecasts
Design, execute, and measure GTM experiments — structure A/B tests, build the analytical frameworks to evaluate them, and quantify the financial impact of different approaches
Build and maintain dashboards and reporting tools that deliver timely, trusted GTM and revenue performance visibility to Finance, Revenue Operations, and executive leadership
Write and optimize complex SQL queries to extract and transform large datasets from core systems (billing, CRM, product, data warehouse) into clean, analysis‑ready outputs
Collaborate with FP&A, Accounting, Revenue Operations, BI, and Data Engineering to align on data sources, metric definitions, and reporting standards
Drive the development of scalable, automated analytics processes, improving accuracy, efficiency, and speed‑to‑insight across Finance
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, 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) strongly preferred
Hands‑on experience designing and measuring experiments — structuring A/B tests, defining success metrics, and quantifying the financial impact of results
Deep understanding of financial data structures, SaaS metrics (ARR, NRR, CAC, LTV, conversion/retention, retention and cohort analyses), and concepts related to revenue, billing, and expense modeling
Experience with BI and visualization tools (e.g., Tableau, Looker, Power BI) and FP&A platforms (e.g., Abacum, Pigment)
Proven ability to partner cross‑functionally with technical and non‑technical stakeholders to deliver scalable data solutions
Excellent analytical and problem‑solving skills; able to structure and communicate complex financial data clearly and persuasively
Strong attention to detail, organization, and ability to manage multiple priorities in a fast‑paced environment
The salary range for this position is
$102000 - $155000
annually.
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Compétences linguistiques
- English
Avis aux utilisateurs
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