Enterprise Performance Analytics Engineer 

Proven analytical and organizational skills with ability to meet deadlines in an environment of often-changing priorities. Conceptual thinker comfortable with ambiguity. Proficiency in SQL and data warehousing concepts. Understanding of data modeling concepts. Exposure to modern data stack tools. Understanding of version control systems. Understanding of ETL/ELT processes and data pipeline concepts. Ability to work effectively with data analysts, engineers, and business stakeholders. Bachelor’s degree in a relevant field or equivalent practical experience. 1-3 years of experience in a data-related role.

Design, build and maintain data pipelines, data marts, and other data components. Transform data into well-documented, tested, and trusted datasets. Collaborate with data analysts and stakeholders to understand data needs and implement models. Monitor data pipeline performance and resolve data quality issues. Contribute to documentation of data models, definitions, and data lineage. Stay current with modern data stack tools and techniques. Provide ad hoc and regular cadence analytics and reporting. Provide business support to the operations team and interface with strategic customers.