[Remote] Finance Analytics Manager (GTM)

Note: The job is a remote job and is open to candidates in USA. HighLevel is an AI-powered business operating system that supports SMBs across 150+ countries. The Finance Analytics Manager will serve as the analytical engine behind HighLevel’s go-to-market financial strategy, translating data into insights that drive revenue growth and customer acquisition.ResponsibilitiesOwn 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 initiativesLead 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 forecastsDesign, execute, and measure GTM experiments — structure A/B tests, build the analytical frameworks to evaluate them, and quantify the financial impact of different approachesBuild and maintain dashboards and reporting tools that deliver timely, trusted GTM and revenue performance visibility to Finance, Revenue Operations, and executive leadershipWrite and optimize complex SQL queries to extract and transform large datasets from core systems (billing, CRM, product, data warehouse) into clean, analysis-ready outputsCollaborate with FP&A, Accounting, Revenue Operations, BI, and Data Engineering to align on data sources, metric definitions, and reporting standardsDrive the development of scalable, automated analytics processes, improving accuracy, efficiency, and speed-to-insight across FinanceEstablish and uphold data governance and quality standards within the Finance domain, ensuring a single source of truth for critical metrics used across the businessChampion a data-driven culture within Finance, helping elevate analytical rigor and consistency as the company scales toward public-company readinessSkillsBachelor's degree in Finance, Economics, Data Analytics, Computer Science, or a related field8+ years total, or 6+ years of relevant experience in FP&A, Data Analytics, or a hybrid role within a high-growth SaaS environmentAdvanced SQL proficiency required; experience with data warehouses (e.g., Snowflake) strongly preferredHands-on experience designing and measuring experiments — structuring A/B tests, defining success metrics, and quantifying the financial impact of resultsDeep 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 modelingExperience 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 solutionsExcellent analytical and problem-solving skills; able to structure and communicate complex financial data clearly and persuasivelyStrong attention to detail, organization, and ability to manage multiple priorities in a fast-paced environmentExperience with data warehouses (e.g., Snowflake) strongly preferredCompany OverviewHighLevel is a marketing and advertising platform that captures message leads via voicemail, SMS, emails, FB messenger, and more. It was founded in 2018, and is headquartered in Dallas, Texas, USA, with a workforce of 1001-5000 employees. Its website is https://www.gohighlevel.com.