Joblaze summary

In the role of Data Analyst for Revenue & Metrics at LaunchDarkly, the individual will focus on developing scalable data models, automating reporting processes, and ensuring the accuracy of key business metrics. Proficiency in SQL and experience with tools like Snowflake and dbt are essential for transforming business logic into actionable datasets. This position is ideal for someone with at least five years of experience in data analytics, who can effectively collaborate with global teams. LaunchDarkly emphasizes a collaborative team culture, making it a fitting environment for those who value teamwork.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 15, 2026. Last confirmed on LaunchDarkly's careers page November 4, 2026.

Quick facts

Is the Financial Analyst – Revenue & Metrics (Ireland Based) role remote?: It's hybrid — LaunchDarkly expects some on-site time in Ireland.
How much experience is required?: At least 5 years of relevant experience for this Financial Analyst – Revenue & Metrics (Ireland Based) role.
Where is the role based?: LaunchDarkly is hiring for this position in Ireland.
What's the tech stack?: Joblaze extracted these technologies from the posting: Looker, SQL, Snowflake, dbt.
What seniority level is this role?: LaunchDarkly targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Financial Analyst – Revenue & Metrics (Ireland Based) role at LaunchDarkly.

From the original posting

About the Job:

LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery.

You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR) are consistently implemented, automated, and delivered across the organization.

Responsibilities:

Data Modeling & Transformation
Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets.

Metrics Implementation
Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports.

Automation & Pipeline Support
Work with Data Engineering to automate data pipelines and reduce manual reporting processes.

Dashboarding & Reporting
Develop and maintain dashboards that provide consistent and reliable visibility into business performance.

Data Quality & Validation
Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).

Global Collaboration
Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs.

Qualifications:

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 (e.g., Snowflake, dbt, Looker or similar)
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

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Financial Analyst – Revenue & Metrics (Ireland Based)

About the Job:

Responsibilities:

Qualifications:

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