Data Analytics Engineer, LaunchDarkly

• 3+ years of professional experience as an Analytics Engineer, or equivalent
• A Bachelor’s degree in a technical field (Computer Science, Physics, Math, Economics, etc) or equivalent technical education
• Hands-on experience building data pipelines and models with tools like dbt, and Airflow
• Deep competency with SQL for transformations including window functions, common table expressions, and query tuning
• Demonstrable experience working with data in Snowflake or similar SQL-based analytics warehouse
• Ability to define and iterate on analytics project requirements with both technical and business partners
• An ability to balance humility with high standards for work quality
• A curious and growth-oriented mindset towards learning and teaching

Desirable

• LaunchDarkly is seeking an experienced Data Analytics Engineer to build high-quality data models and data products that directly influence sales strategy and revenue reporting.
• You’ll join our Data Analytics and Engineering team in the Technology organization and work closely with our embedded revenue analysts, salesforce and software engineers, and revenue operations team
• Own the development of cross-functional data models, core business metrics, and self-service dashboards and tools
• Build, document, and maintain robust data pipelines and transformations using tools like dbt, Airflow, and Snowflake
• Advance best practices in data modeling, naming conventions, and data quality testing to ensure scalable, trustworthy analytics
• Establish and champion reporting best practices and a standardized metrics layer for the Technology and Revenue organizations — driving consistency, documentation, and discoverability
• Partner closely with data scientists, revenue analysts, and salesforce engineers often serving as the go between for our revenue and technology organizations
• Design metrics and data visualizations with dashboarding tools like Looker, and Hex