Senior Analytics Engineer Overview • The Senior Analytics Engineer will lead enterprise-wide analytics strategy and technical standards for a growing healthcare and technology organization. • Collaborate with executive leadership to shape analytics governance and semantic architecture, driving impactful business decisions. • Provide hands-on technical expertise in data modeling, statistical methodologies, and advanced analytics engineering practices. • Establish best practices for analytics deliverables, ensuring accuracy, reproducibility, and compliance with regulatory standards. • Mentor analytics professionals, fostering technical growth and adherence to quality standards across teams. • Develop and maintain enterprise-scale data models and semantic layers, supporting consistent metrics across the organization. • Remain hands-on with SQL, dbt, and Python development, ensuring high-quality analytics engineering outputs. • Contribute to the growth and maturity of the analytics function, influencing its strategic direction and operational practices. Senior Analytics Engineer Key Responsibilities & Duties • Define enterprise-wide standards for data modeling, semantic layers, and statistical methodologies. • Partner with executive leadership to develop analytics strategy and technical roadmaps. • Lead analytics engagements involving executive stakeholders and regulatory considerations. • Ensure analytical deliverables are accurate, defensible, and supported by reliable data. • Collaborate with cross-functional teams to develop canonical data models and enterprise metrics. • Translate analytical findings into actionable recommendations for executive decision-making. • Present methodologies to senior leadership, external stakeholders, and regulatory audiences. • Drive improvements in analytics methodologies, tooling, and governance practices. • Remain hands-on with complex data modeling and analytics engineering tasks. Senior Analytics Engineer Job Requirements • Bachelor's degree in Computer Science, Information Technology, or related field; Master's degree preferred. • 12+ years in analytics, data science, or related fields, with 5+ years in senior-level roles. • Expertise in contact center data platforms and contact-level data modeling. • Proficiency in SQL, dbt, Python, and data orchestration tools; familiarity with Databricks and CI/CD pipelines. • Experience defining analytical methodologies and enforcing standards across teams. • Strong communication skills to influence executive decisions and mentor analytics professionals. • Background in healthcare, Medicaid, or regulated industries is a plus. • Experience presenting findings to state agencies, regulators, or auditors. • Track record of building or improving enterprise-scale semantic layers and governance frameworks.