Senior Business Intelligence Engineer, Current

• 5+ years of experience in Business Intelligence, Analytics Engineering, or data modeling, with hands-on experience building and scaling analytics platforms
• Strong experience with Looker / LookML development, visualization, and administration
• Expert-level SQL skills and a deep understanding of dimensional data modeling and analytics-ready datasets
• Experience partnering with dbt-modeled data and integrating with broader analytics engineering workflows
• Strong understanding of data and BI governance, metric standardization, and self-serve analytics enablement
• Comfortable owning and driving adoption of analytics platforms and data products, balancing immediate business needs with long-term maintainability
• Excellent communication and collaboration skills, able to work effectively with both technical and non-technical stakeholders

Desirable

• We are seeking a Senior Business Intelligence Engineer to lead the design, implementation, scaling and maintenance of our analytics and reporting infrastructure
• This role will focus on establishing data governance, building trusted, scalable datasets, implementing frameworks and best practices for metrics and reporting, and enabling high-quality self-serve analytics across the organization
• You will partner closely with peers on analytics engineering, data engineering, and business teams to ensure the BI and Analytics ecosystem is reliable, performant, and aligned with business needs
• Develop and maintain enterprise-wide dashboards and reports in Looker for business and cross-functional teams
• Ensure data quality, consistency, and governance across all BI and analytics layers
• Collaborate with business stakeholders to translate requirements into scalable analytics solutions
• Optimize BI performance and data warehouse usage for speed, cost efficiency, and scalability
• Define and enforce frameworks and best practices for dashboards, reporting, metric definitions, and data consumption
• Design, build, and maintain core analytics datasets and dimensional data models to support reporting and decision-making
• Build and support experimentation, funnel analysis, and measurement frameworks for key business initiatives
• Mentor analysts and junior BI engineers to strengthen analytics capabilities and best practices
• Conduct Looker office hours and training sessions to drive adoption and enablement
• Enable self-serve analytics by improving data discoverability, documentation, and tooling
• Partner with analytics engineering and data teams to ensure alignment between dbt models, ETL pipelines, and BI consumption