HighLevel

The all-in-one sales & marketing platform that agencies can white-label. CRM, Email, 2-way SMS, Funnel Builder, & more!

Senior Finance Analytics Manager

Data AnalystData AnalystFull TimeRemoteTeam 201-500Since 2018H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

82 days ago

Salary

Not specified

Bachelor Degree10 yrs expEnglishSQLTableau

Job Description

• 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

Job 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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