Public summary
We are looking for an Analytics Engineer to act as the strategic bridge between data infrastructure and insight generation. You will manage the logical and governance layers, transforming prepared data into semantic assets ready for consumption. Your role is to ensure data organization, availability, and efficient processing, allowing analysts to focus on high-value analysis. Work closely with data engineers, product analysts, and stakeholders to make data a key driver of decision-making. This remote-friendly role promotes inclusion of persons with disabilities (PWD) and encourages applications from diverse backgrounds.
Responsibilities
Build and manage the semantic data layer, ensuring centralized, consistent business rules. Maintain data governance and organization to facilitate analyst access. Interface with stakeholders to translate business needs into efficient dimensional models. Implement AI tools to optimize data development, documentation, and processing. Maintain and advance orchestration, unit testing, and versioning processes, applying best engineering practices to analytics.
Qualifications
Advanced SQL skills for complex transformations and query optimization. Strong experience in dimensional data modeling and analytical environments. Practical knowledge of programming (preferably Python), orchestration systems (e.g., Airflow or Dagster), and version control tools (Git). Experience with Google Cloud Platform's BigQuery including table optimization and processing. Familiarity with data warehouse or data lakehouse architectures focused on cost and performance optimization. Openness to using generative AI in workflows. Experience with CI/CD pipelines and unit testing. Knowledge of A/B testing infrastructure and product-oriented analytical mindset are a plus.