At ClickUp, we’re not just building software. We’re architecting the future of work! In a world overwhelmed by work sprawl, we saw a better way. That’s why we created the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI, empowering millions of teams to break free from silos, reclaim their time, and unlock new levels of productivity. At ClickUp, you’ll have the opportunity to learn, use, and pioneer AI in ways that shape not only our product, but the future of work itself. Join us and be part of a bold, innovative team that’s redefining what’s possible! 🚀
At ClickUp data is the key driver behind the decisions we make every day. Our teams rely on accurate and up to date data to measure their success and to build a better product. ClickUp is looking for a motivated Analytics Engineer with expertise in building robust, reliable, and user-friendly data models.
Responsibilities
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.
Data Stack: Snowflake, SQL, dbt, Metaplane, Hex.
Qualifications:
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.
Preferred Qualifications:
Experience in a SaaS or subscription-based business.
Experience with our data stack.
Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!
At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person’s journey to build their boldest career.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice.
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
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ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to [email protected].
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at [email protected].
