Senior Analytics Engineer

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 & DutiesDefine 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.