Analytics Engineer Full Time

Responsibilities

• Own analytics datasets and pipelines for the specific product domain.
• Improve understanding of the area with cross-functional partners.
• Focus on dimensional data modeling and visualization.
• Build easy to understand and consistently modeled datasets.
• Serve metrics, dashboards, and exploratory analysis.
• Build data transformation pipelines primarily using SQL and Python in dbt, and Airflow infrastructure.
• Develop semantic models in Looker and build dashboards.
• Coach users on how to use self-serve capabilities of the platform.
• Work with software engineers to ensure necessary data for analysis is captured well in systems.

Requirements

• Extensive experience with Python, Java, and proficiency in SQL.
• Experience with data warehouse technologies and BI tools such as Looker or Tableau.
• Knowledge of dimensional data modeling for analytics/big data infrastructures.
• Experience working with orchestration systems such as Airflow and dbt.

Benefits

• Diverse development programs and coaching partnerships.
• On-the-job training and support for individual career journeys.
• Family-friendly policies and a focus on well-being.
• Flexibility in work arrangements.