- Build robust, executive-facing dashboards to support business and operational decisions.
- Design, build, and maintain scalable data models, semantic layers, and reporting datasets using dbt, Looker, SQL, and related tools.
- Analyze large datasets using data modeling, statistics, and other analytical techniques to identify trends, patterns, and anomalies.
- Develop and manage the data analytics platform Looker.
- Own analytics initiatives from requirements gathering through implementation, managing timelines, dependencies, and stakeholder communication.
- Partner with product, engineering, business intelligence, finance, operations, and other stakeholders to define metrics, analytics requirements, reporting solutions, and data quality expectations.
- Resolve data quality issues through validation checks and improvements to data reliability, analytics processes, and tooling.
- Document metrics, data models, dashboards, business logic, and analytics workflows.
- Mentor junior analytics engineers, contribute to code reviews, and improve team standards.
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