Analytics Engineering Advocate - US (Eastern Time)

• Our users' experience of Lightdash goes beyond product features. It includes every touchpoint and interaction they have with our community and team. In this role, you'll be the voice for our community, combining technical expertise with relationship-building to help users succeed with Lightdash and modern analytics engineering. You'll spend a significant portion of your time directly helping users in Slack and on calls — diagnosing issues, answering questions, and pair-programming through problems. • Areas of Responsibility • Obsess over user success through technical problem-solving • Our users' wins are our wins. You'll be active daily in shared customer Slack channels, responding to user questions, triaging bugs, and jumping on calls to pair-program through complex issues. You'll balance fast, practical solutions with thoughtful, strategic guidance on analytics architecture and process improvement. You'll leverage AI tools to work more efficiently and help users understand how to do the same. • Be the Lightdash expert • You'll be the go-to Lightdash pro, both internally and in the community. You'll stay current with our latest features, including our evolving AI capabilities (using Lightdash for our own analytics and demos), understand how they fit into broader BI and analytics engineering workflows, and share this knowledge widely. You'll represent Lightdash at community events, conferences, and meetups with curiosity and enthusiasm, showcasing how AI is transforming analytics workflows. • Teach and share • Create and deliver world-class tutorials and demos for Lightdash and examples of analytics engineering best practices. Whether through docs, guides, blog posts, video tutorials, or code examples, you'll make complex concepts accessible and help users level up their skills. You'll use AI tools to accelerate content creation while maintaining quality and authenticity. • Build and grow community • Develop and execute strategies to grow and engage the analytics engineering community around Lightdash. This includes cultivating relationships with community members, identifying product champions, and creating spaces for knowledge sharing and collaboration around modern analytics practices. • Technical expertise • Strong hands-on experience with dbt, SQL, data modeling, and modern data stacks • Comfortable with git, the command line, and data visualization tools • Proficient with AI coding assistants and productivity tools; you should be comfortable using AI to write code, debug issues, and accelerate your work • Resilience when facing ambiguous or complex debugging challenges • Industry knowledge and product vision • Deep understanding of business intelligence and analytics engineering workflows • Ability to connect user needs to product strategy and feature development • Excitement about how AI is transforming the analytics landscape and eagerness to stay current as the space evolves rapidly • Communication and relationship building • Exceptional written and oral communication skills—you can explain technical concepts clearly to varied audiences • Natural teacher who can train people through live calls, in-person, videos, documentation, etc. • Strong empathy, curiosity, and active listening skills; you genuinely care about understanding users' contexts and constraints • Relationship-builder who enjoys connecting with community members • Able to work US Eastern Time hours with some earlier meetings with the team in Europe • 💜 We believe that to build a product that works for a diverse group of people, we need a diverse team. So, we strongly encourage candidates of all different perspectives, experiences, backgrounds and identities to apply. We’re committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability. And once you join us, we’re committed to building an inclusive, supportive place for you to do the best work of your career.