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 scalable data pipelines (e.g., dbt, Snowflake) Experience working with Finance and/or RevOps teams Experience reconciling data across multiple systems (e.g., Salesforce, billing systems, data warehouse) Ability to work independently and structure ambiguous problems Strong communication skills and ability to align stakeholders across functions Experience defining or owning business-critical metrics in a B2B SaaS environment About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of eng ... (truncated, view full listing at source)