[Remote] Finance Analytics Manager (Product & Engineering)

Note: The job is a remote job and is open to candidates in USA. HighLevel is an AI-powered business operating system that supports agencies, entrepreneurs, and SMBs. They are seeking a Finance Analytics Manager to serve as the analytical engine behind their product financial strategy, focusing on translating product and usage data into insights for better decision-making.ResponsibilitiesOwn 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 initiativesLead 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 forecastsDesign, 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 investmentsConduct 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 leadershipBuild and maintain dashboards and reporting tools that deliver timely, trusted product performance and revenue visibility to Finance, Product, and executive leadershipWrite and optimize complex SQL queries to extract and transform large datasets from core systems (product, billing, data warehouse) into clean, analysis-ready outputsDrive the development of scalable, automated analytics processes, improving accuracy, efficiency, and speed-to-insight across Finance and ProductEstablish 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 and Product, 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) and product analytics strongly preferredExperience 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 resultsExperience conducting open-ended analytical investigations — comfortable starting from a trend or anomaly and independently structuring an analysis to understand its root cause and financial significanceExcellent analytical and problem-solving skills; able to structure and communicate complex financial data clearlyProven ability to partner cross-functionally with technical and non-technical stakeholders to deliver scalable data solutionsStrong attention to detail, organization, and ability to manage multiple priorities in a fast-paced environmentCompany 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.