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About the role
You will be responsible for driving data modeling, metrics standardization, and analytics automation as a Data Analyst Revenue & Metrics at LaunchDarkly. Your main focus will be on building scalable datasets, ensuring metric consistency (ARR, NRR, churn), and delivering reliable insights across global teams. - Data Modeling & Transformation: - Build and maintain scalable data models using tools like Snowflake & dbt - Translate business logic into clean, reusable datasets - Metrics Implementation: - Define and standardize key metrics (ARR, NRR, churn) - Ensure consistency across dashboards and reporting layers - Automation & Data Pipelines: - Collaborate with Data Engineering to automate workflows - Reduce manual reporting through pipeline optimization - Dashboarding & Reporting: - Develop dashboards for business performance tracking - Deliver reliable and consistent analytics outputs - Data Quality & Validation: - Validate datasets and resolve inconsistencies - Perform reconciliation across systems (Salesforce, billing tools) - Global Collaboration: - Work with teams across US & EMEA - Deliver insights aligned with global business needs In addition to the above responsibilities, LaunchDarkly is a leading platform enabling modern software delivery through feature management and experimentation. It helps organizations release features faster, reduce risks, and optimize customer experiences with data-driven decisions. Skills & Requirements: - 5+ years of experience in Data Analytics / BI / Analytics Engineering - Strong SQL skills and experience with large datasets - Hands-on experience with Snowflake, dbt, Looker (or similar tools) - Experience in data modeling and dashboard development - Strong understanding of business metrics implementation - High attention to detail and data accuracy - Excellent communication and stakeholder management skills Join LaunchDarkly to: - Work with a global leader in DevOps and feature management - Build scalable data systems impacting product and revenue decisions - Collaborate with international teams and stakeholders - Have a high-impact role in a fast-growing tech environment Apply Now for this exciting opportunity! You will be responsible for driving data modeling, metrics standardization, and analytics automation as a Data Analyst Revenue & Metrics at LaunchDarkly. Your main focus will be on building scalable datasets, ensuring metric consistency (ARR, NRR, churn), and delivering reliable insights across global teams. - Data Modeling & Transformation: - Build and maintain scalable data models using tools like Snowflake & dbt - Translate business logic into clean, reusable datasets - Metrics Implementation: - Define and standardize key metrics (ARR, NRR, churn) - Ensure consistency across dashboards and reporting layers - Automation & Data Pipelines: - Collaborate with Data Engineering to automate workflows - Reduce manual reporting through pipeline optimization - Dashboarding & Reporting: - Develop dashboards for business performance tracking - Deliver reliable and consistent analytics outputs - Data Quality & Validation: - Validate datasets and resolve inconsistencies - Perform reconciliation across systems (Salesforce, billing tools) - Global Collaboration: - Work with teams across US & EMEA - Deliver insights aligned with global business needs In addition to the above responsibilities, LaunchDarkly is a leading platform enabling modern software delivery through feature management and experimentation. It helps organizations release features faster, reduce risks, and optimize customer experiences with data-driven decisions. Skills & Requirements: - 5+ years of experience in Data Analytics / BI / Analytics Engineering - Strong SQL skills and experience with large datasets - Hands-on experience with Snowflake, dbt, Looker (or similar tools) - Experience in data modeling and dashboard development - Strong understanding of business metrics implementation - High attention to detail and data accuracy - Excellent communication and stakeholder management skills Join LaunchDarkly to: - Work with a global leader in DevOps and feature management - Build scalable data systems impacting product and revenue decisions - Collaborate with international teams and stakeholders - Have a high-impact role in a fast-growing tech environment Apply Now for this exciting opportunity!
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