Finance Analytics Manager

7 hours, 43 minutes ago
Full-time
Senior
Data Science and Analytics
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Own the go-to-market analytics infrastructure, including data models and reporting frameworks for revenue forecasting, customer acquisition tracking, and ad hoc analysis.
  • Lead KPI stewardship across the customer lifecycle by defining and maintaining metrics such as ARR, GRR, NRR, CAC, LTV, payback period, and conversion rates.
  • Design, execute, and measure go-to-market experiments, including A/B tests and financial impact analysis.
  • Build dashboards and reporting tools that provide Finance, Revenue Operations, and leadership with timely visibility into revenue performance.
  • Write and optimize complex SQL queries to extract, transform, and prepare data from billing, CRM, product, and data warehouse systems.
  • Partner with FP&A, Accounting, Revenue Operations, BI, and Data Engineering to align on data sources, metric definitions, and reporting standards.
  • Develop scalable and automated analytics processes that improve accuracy, efficiency, and speed to insight.
  • Establish and maintain data governance and quality standards within Finance to ensure a single source of truth for key metrics.
  • Promote a data-driven culture within Finance as the company scales toward public-company readiness.

Requirements

  • Bachelor’s degree in Finance, Economics, Data Analytics, Computer Science, or a related field.
  • 8+ years total experience, or 6+ years of relevant experience in FP&A, Data Analytics, or a hybrid role within a high-growth SaaS environment.
  • Advanced SQL proficiency is required.
  • Experience with data warehouses such as Snowflake is strongly preferred.
  • Hands-on experience designing and measuring experiments, including A/B testing and defining success metrics.
  • Deep understanding of SaaS metrics and financial data structures, including ARR, NRR, CAC, LTV, conversion, retention, cohort analysis, revenue, billing, and expense modeling.
  • Experience with BI and visualization tools such as Tableau, Looker, or Power BI.
  • Experience with FP&A platforms such as Abacum or Pigment.
  • Proven ability to partner cross-functionally with technical and non-technical stakeholders.
  • Strong analytical, problem-solving, communication, organization, and attention-to-detail skills.

Benefits

  • Remote-first full-time role.
  • Annual salary range of $102,000 to $155,000.
  • Opportunity to work at a global company supporting more than 1 million businesses across 150+ countries.
  • Exposure to a high-impact, data-rich SaaS environment with large-scale systems and datasets.
  • Chance to work closely with Finance, Revenue Operations, Accounting, BI, and Data Engineering on strategic business decisions.

Interested in this position?

Apply directly on the company website

Apply Now

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