The Analytics Engineer acts as a bridge between a data engineer and a data analyst. This position is primarily responsible for modeling raw data sets into curated, reusable, trusted data sets which power analytics across the enterprise. These data sets will serve as the single source of truth for data and enable self-service analytics. In addition to the development of data models, this role is responsible for maintaining data quality within these data sets via the use of monitoring, testing, and automation. An additional component of the role is to improve the effectiveness of data analysts and data scientists. This maybe via providing technical expertise in query development, extending data models via the addition of new metrics, and/or consulting on software development practices. The Analytics Engineer owns the entire workflow of data associated with their domain; data pipeline development and performance management, timely loading of data sets, and maintenance. This role will work within various business units and partner with data analysts and data scientists to obtain a deep understanding of operational data and develop scalable data products which empower data-driven decision making across the enterprise. The Analytics Engineer must be comfortable with mentoring and leading team development and skill development initiatives.