Senior Analytics Engineer

ClickUp USA; San Diego (CA); Remote; USD 90,000 - 130,000; Full time

Job summary

An innovative company is seeking a motivated Analytics Engineer to enhance data-driven decision-making. In this role, you'll architect and standardize data models, implement scalable SQL transformations, and partner with stakeholders across departments to design effective data solutions. Your expertise in SQL, data modeling, and tools like Snowflake and dbt will be crucial in building trust in data and supporting analytics across the organization. Join a forward-thinking team that values data as a key driver for success and contribute to building a better product through insightful analytics.

Qualifications

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

Responsibilities

• Architect and standardize performant data models to scale Analytics.
• Design and implement scalable SQL transformations and governance practices.

Skills

SQL

Data Modeling

Analytics

Problem-Solving

Communication

Git

Tools

Snowflake

dbt

AWS

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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