Analytics Engineer, Mental Healthcare

• Data modelling & transformations: Own and evolve the analytics data model in dbt/BigQuery, building maintainable, well-tested transformations that support product analytics, custom use cases, and new feature development
• Looker stewardship and analytics technical strategy: Act as a technical steward for Looker and help shape the broader analytics strategy, including explores, views, folder structure, customization patterns, performance, and developer workflows
• Customer analytics customizations: Own the technical delivery of complex customer-specific analytics requests, from scoping and prioritization through implementation, testing, documentation, rollout, and customer walkthroughs
• Analytics architecture and productization: Default to reusable, productized solutions wherever possible, creating shared models, standard tiles, and scalable patterns to minimize one-off work
• Analytics support, debugging, and reliability: Serve as a senior escalation point for analytics issues, investigating metric discrepancies, broken dashboards, performance regressions, and recurring problems while improving SLAs, monitoring, and long-term stability
• Cross-functional collaboration: Partner closely with the product, design, success, and support teams to translate requirements into analytics solutions and bring customer insight into roadmap and product decisions
• Documentation, enablement, and continuous improvement: Strengthen team effectiveness through clear documentation, internal enablement, and a steady focus on maintainability, backward compatibility, and modern analytics engineering best practices

• You have 3+ years of experience owning data modelling and BI tooling as a data analyst, analytics engineer, BI engineer or data scientist
• You are experienced with SQL, Python and modern data warehousing
• You care deeply about clean and efficient models, tests and documentation and are experienced with dbt or a similar transformation framework
• You have experience building views, dashboards and self-service data exploration with Looker or a similar BI tool
• You have experience gathering requirements directly from customers and other internal and external stakeholders
• You are comfortable owning the reliability of analytics systems in production and have experience investigating incidents, shipping fixes and designing solutions that proactively mitigate outages
• You think in AI-first terms, actively adopt and integrate AI tools in your own workflow to accelerate your work
• You are a pragmatic person with experience making tradeoffs between shipping a solution quickly and investing in more robust solves
• You have an excellent command of English and are comfortable adapting your communication style for non-technical audiences
• You have a contagious growth mindset and persistently seek opportunities to improve yourself, the team, products and processes in a scaling business

• You have experience working on enterprise-grade software that handles sensitive data
• You have previously served in a business that faces healthcare or other regulated industries
• You have experience building or scaling a B2B or B2B2C venture
• You have an acute interest in mental healthcare or health technology

Compensation