Staff Analytics Engineer

Responsibilities

• Define and enable trusted, strategic datasets and analytics solutions that empower data consumers to quickly and reliably gain insights at scale
• Lead efforts to enhance self-serve analytics across the organization through advanced administration, adoption strategies, and training for analytics tools (Looker and Amplitude)
• Partner strategically with analysts, product managers, and product engineers to ensure the analytics infrastructure meets evolving business requirements
• Architect and develop production-grade data transformations and models using SQL, dbt, and Dagster, ensuring optimal performance, maintainability, scalability, and reliability
• Collaborate closely with data engineering on strategic infrastructure initiatives to enhance data ingestion, processing pipelines, and integration of new data sources
• Drive the establishment and continuous improvement of standards around data governance, security, privacy, quality, and retention

Requirements

• 6+ years of experience as an analytics engineer, data engineer, or similar role
• 3+ years of experience using dbt & dbt Core, with a strong understanding of data modeling and data warehousing concepts
• Expertise in writing performant SQL, especially within cloud-based data warehouses like Snowflake
• Strong Looker developer skills, with an emphasis on LookML modeling and overall project design
• Experience managing the administration and/or adoption of data visualization tools (e.g. Looker) and event-based analytics/user journey tools (e.g. Amplitude)
• Ability to navigate ambiguity and work with urgency in a fast-moving environment with multiple stakeholders
• Good communication skills across all levels of stakeholders (business & technical) with the ability to influence and build consensus
• Proficiency with Python
• Experience with Dagster or other orchestration tools
• Experience utilizing AI Codegen to improve the efficiency of your workflow
• Experience with data governance principles, KPI management, and supporting data operations for business intelligence