Note: The job is a remote job and is open to candidates in USA. HighLevel is an AI-powered business operating system that supports agencies, entrepreneurs, and SMBs. They are seeking a Sr. Finance Analytics Manager to lead product finance analytics, translating product and usage data into insights to enhance financial modeling and forecasting.
Responsibilities
- As an expert in finance analytics, you will architect and evolve the product finance analytics function; you will build and own product forecasting across numerous products, underlying metrics such as adoption, and impactful reporting that enables important decision making
- Serve as a strategic finance advisor to the CPO, CTO, and senior leadership team by translating product strategy, customer behavior, and business drivers into sophisticated financial forecasts and insights. Influence roadmap prioritization, investment decisions, and resource allocation by connecting product performance to company-level financial outcomes
- Lead complex, ambiguous analytical investigations to uncover the drivers behind product growth, engagement, monetization, retention, expansion, and churn. Develop executive-level narratives that translate data into strategic recommendations and identify opportunities to improve business performance
- Own the product financial performance management framework, including forecasting, operating reviews, variance analysis, and strategic reporting. Establish insights and recommendations that drive accountability and enable Finance and Product leadership to make informed decisions
- Build and maintain dashboards and reporting tools that deliver timely, trusted product performance and revenue visibility to Finance, Data, 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 for forecasting purposes
- Build scalable analytics processes and operating models that elevate Finance’s ability to support product strategy, improve decision velocity, and create sustainable business intelligence capabilities
- Uphold data governance and quality standards within the Finance domain, ensuring a single source of truth for critical metrics
Skills
- Bachelor's degree in Finance, Economics, Data Analytics, Computer Science, or a related field
- 12+ years of experience or 10+ years of relevant experience in FP&A, strategic finance, finance analytics, or related disciplines, with demonstrated success influencing executive decision-making and building scalable analytical capabilities within a high-growth SaaS environment
- Advanced SQL proficiency required
- Proven track record architecting product-level financial models, forecasting methodologies, and strategic planning frameworks that influence business decisions, investment priorities, and company growth
- Fluency with SaaS financial metrics — ARR, NRR, GRR, churn, LTV, CAC — and the ability to connect product behavior to topline financial outcomes
- Ability to excel in high-stakes transaction environments such as leading diligence workstreams, structuring complex financial analyses, and presenting directly to internal and external parties
- 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
- Ability to distill complex financial analysis into clear narratives and recommendations for product and executive audiences
- Demonstrated ability to operate as a strategic thought partner to executive leaders and influence decisions across multiple functions
- Ability to navigate ambiguity, define problems independently, and develop solutions to complex business challenges
- Experience with data warehouses (e.g., Snowflake) and product analytics strongly preferred
- Experience with BI and visualization tools (e.g., Tableau, Looker, Power BI)
Company Overview