• Develop, maintain, and optimize SQL queries, stored procedures, and database scripts • Load, transform, and validate large datasets within SQL Server environments • Support ETL-related workflows, including data extraction, transformation, cleansing, and migration activities • Perform data cleanup and manipulation tasks to improve overall data quality and consistency • Troubleshoot SQL performance issues and optimize complex queries • Collaborate with engineering and business stakeholders to understand data requirements and deliver accurate solutions • Assist with ongoing database maintenance and operational support activities • Ensure data integrity, validation, and reconciliation across systems • Create and maintain technical documentation related to database and ETL processes

• Develop, maintain, and optimize SQL queries, stored procedures, and database scripts • Load, transform, and validate large datasets within SQL Server environments • Support ETL-related workflows, including data extraction, transformation, cleansing, and migration activities • Perform data cleanup and manipulation tasks to improve overall data quality and consistency • Troubleshoot SQL performance issues and optimize complex queries • Collaborate with engineering and business stakeholders to understand data requirements and deliver accurate solutions • Assist with ongoing database maintenance and operational support activities • Ensure data integrity, validation, and reconciliation across systems • Create and maintain technical documentation related to database and ETL processes

• Technical Leadership and Mentorship: Act as a reference for analysts and engineers, promoting development best practices, performing code reviews, and mentoring the team to advance analytical maturity. • Strategic Data Modeling: Design and maintain robust data layers (Silver/Gold) in BigQuery, translating the industry's complex business rules into efficient dimensional models. • Data Engineering Culture: Implement automated testing frameworks, data quality monitoring, and documentation via dbt, ensuring that security and reliability metrics are 100% trustworthy. • Business Interface: Work proactively with Product Managers and functional areas to elicit requirements, investigate root causes of operational pain points, and propose architectural solutions that anticipate needs. • Optimization, Scalability and FinOps: Identify bottlenecks in queries and pipelines, proposing refactors to improve performance and cost efficiency across the Group's large data volumes.

• Own and evolve Moxie's Semantic Layer (dbt + Omni), build benchmarking and segmentation datasets that surface actionable insights across key medspa performance pillars — patient acquisition, retention, operational performance, and more. • Enable embedded AI within Moxie Suite by developing high-quality datasets that power conversational analytics and accurate recommendations, targeting 98%+ accuracy for core medspa operational metrics. • Drive data trust across the business by leading the Revenue Reconciliation & Operations workstream within the Data Governance initiative — unblocking enterprise-critical reports like staff and service-level pay. • Partner with BizOps to establish correlation and affinity metrics (e.g., 'Service A is highly correlated with increased retention') that enable the Sales and PSM teams to close more enterprise medspas. • Lay the groundwork for predictive analytics by exploring methods that take Practice Intelligence from 'here's what happened' to 'here's what's going to happen — and here's what to do about it.'