Senior Finance Analytics Manager
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Job Description
Sr. Finance Analytics Manager driving financial data and analytics at HighLevel, ensuring accurate reporting and forecasting.
Responsibilities:
- Own the financial data and analytics infrastructure that powers HighLevel’s forecasting, reporting, and IPO-readiness efforts; ensure Finance has access to timely, accurate, and trusted data
- Design, build, and maintain data products including models, dashboards, and reporting frameworks that deliver actionable insights to Finance and executive leadership
- Lead KPI stewardship - develop and refine key performance metrics and financial data structures, ensuring consistency and accuracy across ARR, GRR, NRR, CAC, LTV, and other core SaaS KPIs
- Write and optimize complex SQL queries to extract and transform large data sets from systems (billing, CRM, HRIS, data warehouse) into analysis-ready outputs
- Partner cross-functionally with FP&A, Accounting, BI, and Data Engineering to align on data sources, 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
Requirements:
- Bachelor’s degree in Finance, Economics, Data Analytics, Computer Science, or a related field
- 10+ years total, or 8+ 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
- Deep understanding of financial data structures, SaaS metrics, 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
Benefits:
- Equal Employment Opportunity Employer
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