Senior Analytics Engineer

ClickUp USA; San Diego (CA); Hybrid; USD 80,000 - 110,000; Full time

Job summary

An innovative firm is seeking a motivated Analytics Engineer to enhance data-driven decision-making. In this role, you'll architect robust data models and implement scalable SQL transformations, collaborating with various stakeholders to optimize data solutions. Your expertise will drive data quality and governance, ensuring that teams can leverage accurate information effectively. If you're passionate about data and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking company where your contributions will shape the future of data analytics.

Qualifications

• 4+ years experience in Analytics, with at least 2 years as an Analytics Engineer.
• Expert in SQL and database performance best practices.

Responsibilities

• Architect and standardize performant and reusable data models.
• Design and implement scalable SQL transformations and governance practices.

Skills

SQL

Data Modeling

Analytics

Problem-Solving

Communication

Tools

Snowflake

dbt

AWS

S3

Git

Metaplane

Terraform

Hex

Job description

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 and standardize 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, AWS, S3, Metaplane, Terraform, Hex.

Qualifications:

• 4+ years experience in Analytics, with at least 2 years as an Analytics Engineer.
• Expert in SQL and database performance best practices.
• Experience managing a dbt project with engineering best practices (unit testing, data quality checks, reusable building blocks, etc...).
• Experience managing a data modeling pipeline, with the 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 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.

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