Data Analytics Engineer

November 20

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LaunchDarkly

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SaaS • Enterprise

LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.

201 - 500 employees

Founded 2014

☁️ SaaS

🏢 Enterprise

💰 $200M Series D on 2021-08

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Restricted Stock Units (RSUs) • health, vision, and dental insurance • mental health benefits