LaunchDarkly

Data Modeling & Transformation: Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation: Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support: Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting: Develop and maintain dashboards that provide consistent and reliable visibility into business performance.

Bachelor's degree in Computer Science, Statistics, or related field. 2+ years of experience in data analysis, data modeling, or related field. Strong understanding of data modeling, data warehousing, and data visualization. Experience with modern data tools (e.g., Snowflake, dbt). Excellent communication and collaboration skills.

Master's degree in Computer Science, Statistics, or related field. Experience with cloud-based data platforms (e.g., AWS, GCP). Familiarity with data engineering concepts and practices. Certifications in data science or related field.