Hybrid 1-2 days per week
Job Description
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.
Job 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.
- 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.