​This is a full-time, remote Data Analyst role at LaunchDarkly, focusing initially on Product Growth initiatives. The analyst will join the Data Analytics team within the Technology organization, leveraging data warehouse, scripting, and analytics tools to deliver insights that directly influence product strategy and customer experiences.

• ​Location: Remote, US (Pay range determined by Geographic Zone).
• ​Target Pay Range (Zone 3 – Most locations): $116,000 – $159,500.
• ​Experience: 3+ years of professional experience as a Product Analyst, Data Analyst, Data Scientist, or similar.
• ​Education: Bachelor’s degree in a technical field (Computer Science, Math, Economics, etc.) or equivalent technical education.
• ​Focus: Delivering actionable insights to accelerate product growth, data modeling in dbt, building self-serve assets in Looker, and advancing analytics infrastructure best practices.

​Responsibilities: Insights, Infrastructure, and Cross-Functional Partnership

​The analyst drives data-informed decision-making across Product and Go-to-Market teams while strengthening the underlying data infrastructure.

• ​Product Growth Insights: Develop data-driven and actionable insights to accelerate product growth and engagement by leveraging the data warehouse, analytics tools, and scripting languages.
• ​Cross-Functional Partnership: Partner with Product, Engineering, and Go-to-Market teams to translate business challenges into data projects that influence strategy.
• ​Visualization and Communication: Translate quantitative analyses and findings into clear visuals, written documentation, and other data assets for product, engineering, and business end users.
• ​Data Modeling & Quality: Advance team best practices in data modeling, naming conventions, and data quality testing to ensure scalable, trustworthy analytics.
• ​Self-Service Enablement: Build, maintain, and promote reliable self-serve datasets and dashboards that enable stakeholders to make confident decisions quickly (e.g., in Looker).
• ​Infrastructure Improvement: Provide suggestions for improving the reliability, ease of use, and performance of the Data Team’s technical infrastructure.

​Required and Preferred Qualifications

​The role requires hands-on experience with modern data stacks (warehouse and transformation tools).

• ​Data Warehouse: Demonstrable experience working with data in Snowflake or similar SQL-based analytics warehouse.
• ​Data Modeling: Demonstrable experience with creating and maintaining data models in dbt.
• ​Visualization: Demonstrable experience with creating data visualizations and ready-made datasets in Looker, or other similar tools.
• ​Communication: Ability to define and iterate on analytics project requirements and communicate insights to both technical and business partners.
• ​Nice-to-Have: Curiosity around state-of-the-art technologies including experimentation, machine learning, and generative AI.