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LaunchDarkly

Builds controls for software releases and AI agents

Financial Analyst - Revenue & Metrics

Data Engineering +1Confirmed live in the last 24 hours
Full-timeIrelandNo salary listedIn-person

About the Job

Requirements

  • Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering.
  • Strong SQL skills and experience working with structured and large datasets.
  • Experience with modern data tools such as Snowflake, dbt, and Looker or similar tools.
  • Experience building and maintaining data models and dashboards.
  • Experience implementing business logic into data transformations.
  • Strong attention to detail and ability to ensure data accuracy.
  • Ability to work with global teams across time zones.
  • Clear communication skills.

Responsibilities

  • Build and maintain scalable data models using modern tools such as Snowflake and dbt, translating defined business logic such as ARR calculations into clean and reusable datasets.
  • Implement and maintain standardized metrics such as ARR, NRR, and churn in the data layer, ensuring consistency across dashboards and reports.
  • Work with Data Engineering to automate data pipelines and reduce manual reporting processes.
  • Develop and maintain dashboards that provide consistent and reliable visibility into business performance.
  • Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems such as Salesforce and billing systems.
  • Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs.
  • Partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets.
  • Support global analytics delivery and ensure defined metrics are consistently implemented, automated, and delivered across the organization.

About the Company

LaunchDarkly

Builds controls for software releases and AI agents

LaunchDarkly builds software that lets engineering and product teams control released features and AI agents without shipping another version of an application. Its CodeControl product combines feature flags, which switch behavior on or off for selected users, with experimentation and tools for observing errors. AgentControl manages prompts and model settings, evaluates responses, and routes requests between models to improve output and control spending. Customers integrate the platform into their applications and pay through usage-based plans or custom enterprise contracts. Founded in 2014, LaunchDarkly is headquartered in Oakland, California.

Company size
501-1,000
Company stage
Series D
Total funding
$330.3M
Headquarters
Oakland, CA
Founded
2014

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