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.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LaunchDarkly invites any applicant to review our written affirmative action plan.
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