Sydicom reads this form and drafts every answer from your CV. You review and submit it yourself. Free to start.
A remote Data Analytics role at HighLevel.
Keywords this role’s ATS scans for
Sydicom tailors your CV and cover letter to match these.
How Sydicom helps: we read this listing’s requirements and tune your CV and cover letter to the keywords its ATS (Lever) is scanning for, for candidates in United States, then help you apply.
Original listing text, shown exactly as published by the company.
HighLevel is seeking a Sr. Finance Analytics Manager to join our growing FP&A team. This highly visible, hands-on role will serve as the analytical engine behind HighLevel's product financial strategy — translating product and usage data into insights to better understand product performance and enhance our modeling and forecasting methodology.
You will architect and own product finance analytics, which includes product forecasting across numerous products, partnering with our CPO, CTO, etc. to combine product strategy with drivers of our forecasts, tracking plan vs. actuals, and identifying root causes of variances. You’ll partner closely with executive leaders across Product, Technology, Data, and Finance, and will connect product strategy with financial outcomes by identifying key drivers of growth, monetization, retention, and profitability.
This is an ideal opportunity for someone who is equal parts technical and financial, thrives in a data-rich SaaS environment, and is energized by digging deep into data to understand the “why” behind trends. The ideal candidate thrives in ambiguous environments, can independently define solutions to complex business problems, and is recognized as a trusted advisor who influences decisions across the organization.
•
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
•
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; experience with data warehouses (e.g., Snowflake) and product analytics strongly preferred
•
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 with BI and visualization tools (e.g., Tableau, Looker, Power BI)
•
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.
HighLevel
Data Analytics
117 open roles on Sydicom
