Establish credibility and trusted working partnerships with clinical, operational and research leaders to identify levers for broad system change, pull them, and measure and communicate the results.
Architect and lead hands-on development of complex, enterprise-grade analytics and reporting solutions supporting the entire Analytics organization.
Implement and configure reporting technologies in the Google tech stack (BigQuery, Looker), as well as advanced dbt data modeling and complex SQL.
Design, standardize, and manage enterprise Semantic Models / Context (e.g., dbt Semantic Layer, Looker LookML) to ensure a single source of truth for metrics across business domains.
Champion and embed AI workflows and AI-enabled development tools (e.g., Copilot, LLM-driven query generation, automated documentation) into the daily analytics lifecycle to accelerate team velocity.
Enforce modern analytics engineering standards, including version control (Git), branch strategies, pull request code reviews, and CI/CD testing frameworks.
Perform complex descriptive analyses over production-scale data sets to drive business decisions. Critically interrogate and interpret data to spot patterns and explain data.
Build-out real-time reporting (both tabular and visual) and work with data tooling across Clinical, Product and Market.
Ensure data quality and validation by building automated dbt testing and data cleansing techniques to correct both ad hoc and systemic issues.
Drive automation capabilities into reporting solutions and data pipelines.
Retain and govern our central analytics dbt repository, semantic definitions, and technical documentation.
Documentation and maintenance of domain-specific analytics roadmaps in partnership with team lead analysts.