Finance Analytics Manager

About us
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our people
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts

Who You Are:

HighLevel is seeking a 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 go-to-market financial strategy — translating data into insights that drive revenue growth, customer acquisition/retention, and investment decisions.

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

Equal Employment Opportunity Information

Originally posted on Himalayas