Skip to content

Analytics Engineering Advocate

Lightdash LogoLightdash
Apply View Organization

Salary

$100,000 - $175,000

Location

Remote

Posted

Yesterday

At Lightdash, we're obsessed with the success of our users. Our fast, empathetic, and deeply technical support is one of our superpowers. We help teams with everything from building dashboards and writing SQL to analytics engineering best practices and data modeling strategy. If you have a passion for helping teams win with data, and the technical skills to debug their toughest problems, we're looking for an Analytics Engineering Advocate to join the Lightdash team.

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.

A note on AI: We're investing heavily in AI-powered workflows throughout Lightdash, and we expect this role to be at the forefront of that evolution. You'll use AI tools daily—for task management, technical problem-solving, analytics engineering work, and potentially contributing to our codebase. The ideal candidate is excited about the rapid pace of AI development and eager to incorporate new capabilities into their work and share that knowledge with our community.

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.

What we're looking for

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

Logistics

  • Able to work US Eastern Time hours with some earlier meetings with the team in Europe

‌