Finance Analytics Manager

3 days, 2 hours ago
Full-time
Lead
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 product finance analytics infrastructure, including data models and reporting frameworks for product performance tracking, feature adoption analysis, and product analytics initiatives.
  • Maintain consistent KPI definitions and data structures for ARR, GRR, NRR, feature adoption, and retention metrics across product and financial models.
  • Design, execute, and evaluate product experiments, including A/B tests and financial impact analysis of feature and product decisions.
  • Conduct deep analytical dives into product trends to identify drivers of engagement, retention, expansion, and churn.
  • Translate analytical findings into clear financial narratives for Finance, Product, and executive leadership.
  • Build and maintain dashboards and reporting tools that provide timely product performance and revenue visibility.
  • Write and optimize complex SQL queries to extract, transform, and prepare large datasets from product, billing, and data warehouse systems.
  • Develop scalable and automated analytics processes that improve accuracy, efficiency, and speed to insight.
  • Establish and uphold data governance and quality standards within the Finance domain.
  • Partner cross-functionally with FP&A, Product, Accounting, and Business Intelligence to improve metric accuracy, automation, and insight.

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.
  • Experience with BI and visualization tools such as Tableau, Looker, or Power BI.
  • Hands-on experience designing and measuring experiments, including A/B tests and success metrics.
  • Experience conducting open-ended analytical investigations and independently identifying root causes and financial significance.
  • Excellent analytical and problem-solving skills with the ability to communicate complex financial data clearly.
  • Proven ability to partner with both technical and non-technical stakeholders to deliver scalable data solutions.
  • Strong attention to detail, organization, and ability to manage multiple priorities in a fast-paced environment.

Benefits

  • Remote-first full-time role.
  • Annual salary range of $102,000 to $155,000.
  • Opportunity to work at a global, fast-growing SaaS company with significant scale and impact.
  • Chance to work closely with cross-functional teams in a highly visible role.
  • Equal Opportunity Employer status.

Interested in this position?

Apply directly on the company website

Apply Now

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