Analytics Engineering Advocate - US (Eastern Time)

Lightdash is an open source BI tool that instantly turns your dbt project into a full-stack BI platform.

We’re building the best BI tool for analytics engineers by letting them manage everything as code, from the comfort of their text editor and command line. Once the data team has written the metrics, then Lightdash enables self-serve for the entire business, so your data is accessible for the whole team.

We’re helping data teams build data-driven companies so they can make better decisions, faster.

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.

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.

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.

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.

• 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

• 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

• 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.