The Finance Analytics Manager analyzes product financial strategy, structures datasets, writes SQL queries, and builds frameworks for performance tracking, while partnering with cross-functional teams to drive insights and metrics accuracy.
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
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 product financial strategy — translating product and usage data into insights to better understand product performance and how product specific decisions impact core KPI metrics.
You'll sit at the intersection of Finance and Product — writing queries, structuring datasets, and building scalable frameworks that give product leads a precise, trusted view of how product trends and user behavior translate into financial outcomes. You'll partner cross-functionally with FP&A, Product, Accounting, and Business Intelligence to drive accuracy, automation, and insight across our key product and 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 energized by digging deep into data to understand the “why” behind trends.
What You Will Do
- Own the product finance analytics infrastructure — build and maintain the data models and reporting frameworks that power product performance tracking, feature adoption analysis, and product analytics initiatives
- Lead product KPI stewardship — maintain consistent metric definitions and data structures for ARR, GRR, NRR, feature adoption, and retention metrics, ensuring alignment between how metrics are defined at the product level and how they are used in financial models and forecasts
- Design, execute, and measure product experiments — structure A/B tests, build the analytical frameworks to evaluate them, and quantify the financial impact of different product approaches and feature investments
- Conduct deep analytical dives into product trends — go beyond surface-level reporting to understand the underlying drivers of engagement, retention, expansion, and churn, and translate those findings into clear financial narratives for leadership
- Build and maintain dashboards and reporting tools that deliver 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 used across the business
- Champion a data-driven culture within Finance and Product, 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) and product analytics strongly preferred
- 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, and quantifying the financial impact of results
- 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
- 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
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