Finance Analytics Manager

HighLevel

1d • Remote

About The Position

HighLevel is seeking a Finance Analytics Manager to join their growing FP&A team. This role will serve as the analytical engine behind HighLevel's product financial strategy, translating product and usage data into insights to understand product performance and how product-specific decisions impact core KPI metrics. The position sits at the intersection of Finance and Product, involving writing queries, structuring datasets, and building scalable frameworks to provide product leads with a precise view of how product trends and user behavior translate into financial outcomes. The role requires cross-functional partnership with FP&A, Product, Accounting, and Business Intelligence to drive accuracy, automation, and insight across key product and financial metrics. This is an opportunity for someone with both technical and financial skills, who thrives in a data-rich SaaS environment and enjoys digging into data to understand the 'why' behind trends.

Requirements

• 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 BI and visualization tools (e.g., Tableau, Looker, Power BI).
• Hands-on experience designing and measuring experiments (structuring A/B tests, defining success metrics, quantifying financial impact).
• Experience conducting open-ended analytical investigations (structuring analysis to understand 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.

Nice To Haves

• Experience with data warehouses (e.g., Snowflake).
• Experience with product analytics.

Responsibilities

• Own the product finance analytics infrastructure, building and maintaining data models and reporting frameworks for product performance tracking, feature adoption analysis, and product analytics initiatives.
• Lead product KPI stewardship, maintaining consistent metric definitions and data structures for ARR, GRR, NRR, feature adoption, and retention metrics, ensuring alignment between product-level definitions and their use in financial models and forecasts.
• Design, execute, and measure product experiments, structuring A/B tests, building analytical frameworks to evaluate them, and quantifying the financial impact of different product approaches and feature investments.
• Conduct deep analytical dives into product trends to understand the underlying drivers of engagement, retention, expansion, and churn, translating findings into clear financial narratives for leadership.
• Build and maintain dashboards and reporting tools to provide 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.
• Champion a data-driven culture within Finance and Product, elevating analytical rigor and consistency as the company scales.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 501-1,000 employees