In the role of Senior Analytics Engineer, we'll count on you to: • Lead design of complex analytics domains; standardize patterns and conventions across projects. • Establish modeling standards for marts/semantic layers that maximize reuse and minimize ambiguity. • Define and maintain metric/KPI governance practices. • Develop reusable macros and shared packages to standardize common modeling patterns. • Define and enforce testing strategies (coverage, severity, release gates) and documentation conventions. • Implement CI/CD checks for analytics models (build/test/docs) and enforce review discipline. • Partner with business stakeholders to validate definitions and ensure analytics deliver measurable value. • Mentor analytics engineers and review work for correctness, maintainability, and clarity. • Drive adoption of documentation, lineage, and discoverability practices to reduce support load. Preferred Qualifications • In depth experience with dbt Cloud or dbt Core with Git integration. • Experience implementing enterprise-wide metric programs or shared semantic layers. • Experience with governance practices for documentation, lineage, and change management. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience. • Minimum 5 years of analytics or data experience with demonstrated ownership of complex analytical models. • Strong SQL proficiency and experience with governed analytics delivery practices. Qualifications