Senior Data Analyst – Revenue & Metrics

About the Job:

LaunchDarkly is looking for a Senior Data Analyst to join our Data & Analytics team, focused on revenue analytics, metrics definition, and governance.

In this role, you will own the definition, calculation, and governance of key revenue metrics such as ARR, NRR, and customer metrics. You will partner closely with Finance, RevOps, and Data Engineering teams to ensure consistent definitions, accurate calculations, and scalable data models that support company-wide reporting.

This role is critical to establishing a single source of truth for revenue metrics and enabling consistent decision-making across the organization. You will be responsible for how revenue metrics are defined, calculated, and trusted across the company — not just reported.

Responsibilities:

Metrics Definition & Ownership
Define, document, and maintain key revenue metrics (e.g., ARR, NRR, churn, bookings). Drive alignment across Finance, RevOps, and Data teams on metric definitions and usage.

ARR Calculation & Logic Development
Design and maintain ARR calculation logic, including handling edge cases (e.g., expansions, contractions, multi-year deals, renewals, credits). Ensure logic is transparent, scalable, and well-documented.

Data Modeling & Automation
Translate business logic into scalable data models and transformations using modern data tools (e.g., Snowflake, dbt). Partner with Data Engineering to productionize and automate reporting workflows.

Cross-functional Alignment
Work closely with Finance, RevOps, and GTM stakeholders to resolve discrepancies, align on definitions, and support reporting needs.

Data Quality & Reconciliation
Identify and resolve data inconsistencies across systems (e.g., Salesforce, billing systems, data warehouse). Support reconciliation processes and improve data reliability.

Reporting & Insights
Develop dashboards and analyses that provide visibility into revenue performance and key business drivers.

 

Qualifications:

• Typically requires a minimum of 8 years of related experience in data analytics, business intelligence, or analytics engineering

• Strong experience working with revenue metrics (e.g., ARR, NRR, churn, bookings)

• Strong SQL skills and experience working with complex datasets

• Experience building data models and transforming business logic into