Architect performant and reusable data models to scale Analytics across ClickUp.
Design and implement scalable SQL transformations, frameworks, and governance practices to support data pipelines and models across the organization.
Apply an ownership mentality to the datasets you're working with, deeply understanding the data and how it'll be used.
Partner effectively with stakeholders across various departments to understand how they are leveraging data and help them design and implement data solutions to enable their work.
Requirements
2+ years experience in Analytics, with at least 1 year as an Analytics Engineer.
Proficient in SQL and data warehouse performance best practices.
Experience contributing to a dbt project with engineering best practices (unit testing, data quality checks, reusable building blocks, etc...).
Ability to diagnose data issues proactively and build trust in data across the organization.
Proficiency in Git for version control and collaborative development.
Proficiency with Metaplane or an equivalent data observability tool.
Comfortable leveraging AI tools like Cursor or Windsurf to level up your day to day work.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.