Revenue Analytics Specialist — ARR & NRR Insights

Mixpeek; Ireland; On-site; EUR 75,000 - 110,000; Full time

Job summary

LaunchDarkly is seeking a Data Analyst to join the Data & Analytics team in Ireland. You will focus on building scalable data models, automating reporting, and supporting global analytics delivery.

You will partner with the Senior Financial Analyst, Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets and ensure metrics like ARR and NRR are implemented and delivered automatically across the organization.

Qualifications

• Minimum 5 years of experience in financial data analytics, BI, or analytics engineering.
• Strong SQL skills and experience with large structured datasets.
• Experience with Snowflake, dbt, Looker or similar tools.
• Experience building and maintaining data models and dashboards.
• Ability to translate business logic into data transformations and ensure data accuracy.

Responsibilities

• Build and maintain scalable data models using Snowflake and dbt.
• Implement and maintain standardized metrics (ARR, NRR, churn) in the data layer.
• Automate data pipelines and support reporting processes with Data Engineering.
• Develop and maintain dashboards that provide visibility into business performance.
• Validate data outputs and support reconciliation across systems (e.g., Salesforce, billing).
• Collaborate with global teams across the US and EMEA to deliver analytics outputs.

Skills

Strong SQL

Data modeling

Data transformations

Dashboarding

Global collaboration

Tools

Snowflake

dbt

Looker

Job description

LaunchDarkly is seeking a Data Analyst to join the Data & Analytics team in Ireland. You will focus on building scalable data models, automating reporting, and supporting global analytics delivery.

You will partner with the Senior Financial Analyst, Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets and ensure metrics like ARR and NRR are implemented and delivered automatically across the organization.