Revenue Analytics Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and oversee a scalable data architecture that integrates product usage and telemetry data, customer success and support indicators, along with revenue metrics such as ARR, MRR, renewals, and pipeline.

• Standardize and harmonize data across various platforms, including Salesforce, product systems, and support tools.

• Create clean, reusable datasets designed for analytics and business intelligence purposes.

• Establish and standardize essential SaaS metrics, which include Net Revenue Retention (NRR), Gross Revenue Retention (GRR), expansion, contraction, churn, renewal forecasting, and pipeline coverage.

• Collaborate with teams in Customer Success, Revenue Operations, Sales, and Finance to generate revenue insights.

• Develop models to project usage and revenue growth, predict the likelihood of expansion, and identify risks related to churn and market saturation.

• Utilize statistical and analytical methods such as time-series modeling, cohort analysis, regression, and probability modeling.

• Create dashboards in Tableau that link product usage to revenue results, highlight accounts ready for expansion and those at risk, and provide insights into renewal pipeline and performance.

• Maintain consistency through centralized definitions of metrics and SQL logic.

⛳️ Requirements

• Over 9 years of experience in data modeling, reporting, and analysis, collaborating closely with business partners.

• Strong expertise in Excel, SQL, Python, Tableau, or Power BI.

• Proficient data modeling skills in SQL are a must.

• A proactive self-starter who excels in fast-paced and ambiguous environments while handling multiple priorities.

• Capable of conveying complex analytical insights to executive leadership and a variety of stakeholders.

• Experience with contemporary data warehouses such as Snowflake, BigQuery, or Redshift.

• Profound understanding of SaaS metrics, including ARR, MRR, NRR, GRR, expansion, churn, and renewals.

• Background working collaboratively with Customer Success, Revenue Operations or Sales, and Finance teams.

• Previous experience in designing semantic layers, data models, and KPI definitions for uniform reporting.

• A Bachelor’s degree or equivalent in a quantitative field such as Business Analytics, Data Science, Computer Science, or Economics is mandatory; an MBA is highly preferred.

🏝️ Benefits

• Family healthcare coverage, including dental and vision.

• Competitive salary and 401K plan.

• RSU grants available for full-time employees.

• Employee Stock Purchase Plan (ESPP).

• Flexible vacation policy.

• Maternity and paternity leave.

• MacBook Pro for work use, along with a generous stipend for personalizing your workstation.

• Childcare bonus (for human children only).

• Support and treatment for fertility issues.

• Opportunities for learning and development.

• Commuter benefits.

• A company culture that promotes a healthy work-life balance.