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 & 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.