As an Analytics Engineer on the Data Science team, you will play a central role in shaping how data is structured, modeled, and delivered for analytical use. Your work will directly influence decision-making by enabling robust reporting, advanced analytics, and machine learning applications.
Key Responsibilities
- Design, build, and maintain scalable data models and transformation pipelines using modern data stack tools
- Collaborate with data scientists, analysts, and engineers to understand business requirements and translate them into reliable data solutions
- Ensure data consistency, quality, and documentation across platforms
- Optimize query performance and streamline access to critical datasets
- Implement best practices in data testing, monitoring, and version control
Qualifications
You bring strong technical expertise in SQL, data modeling, and ETL frameworks, along with experience in cloud data platforms such as BigQuery or Snowflake. Familiarity with version control systems and CI/CD workflows is essential. You communicate clearly across technical and non-technical audiences and take ownership of data integrity and usability.
