Senior Analytics Engineer

Analytics Engineer - IV Required location for position: Miami, FL; Dallas, TX; Seattle, WA; Minneapolis, MN Contract to Hire We are seeking a Senior Analytics Engineer to build and maintain scalable data infrastructure that supports measurement, attribution, and experimentation. This role focuses on enabling causal analysis and performance evaluation through reliable data pipelines and optimized data models. The engineer will work closely with Data Science, Commercial, Digital, and Technology teams to ensure data is structured for decision-making. Key Responsibilities • Build and maintain data pipelines for attribution modeling, experimentation, and causal analysis. • Develop and optimize data models and semantic layers for performance measurement. • Collaborate with data scientists to operationalize experimental designs and measurement frameworks. • Ensure data quality, consistency, and accessibility across platforms. • Implement scalable solutions using Databricks and Redshift. • Translate business requirements into technical specifications. Minimum Qualifications • Bachelor’s degree in Computer Science, Statistics, Economics, or a related field. • 10+ years of experience in analytics engineering or data infrastructure. • Proficiency in SQL and experience with Databricks and Redshift. • Experience with Python for data transformation and validation. • Strong understanding of data modeling and performance optimization. • Ability to work across technical and non-technical teams in a matrixed environment. Preferred Qualifications • Advanced degree (Master’s or PhD) in Data Engineering, Computer Science, Statistics, Economics, or a related field. • Experience supporting measurement science initiatives, including causal inference and experimentation. • Familiarity with AWS-based infrastructure and tools like Airflow or dbt. • Experience in the alcohol beverage industry or similar consumer sectors.