HighLevel

Senior Finance Analytics Manager

HighLevel

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Senior

Tech Stack

SQLTableau

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata modelingdata analysisfinancial data structuresSaaS metricsKPI developmentdata governanceautomated analytics processesdata extractiondata transformation
Soft skills
analytical skillsproblem-solving skillscommunication skillsattention to detailorganizational skillscross-functional collaborationleadershipdata-driven culture advocacytime managementpersuasiveness