We9re looking for a Senior Analytics Engineer to help build the trusted analytical layer of our data platform. You9ll own data models and metrics end-to-end 6 from raw data in our warehouse through dbt transformations to the semantic layer in Lightdash 6 turning our data into consistent, well-governed answers that stakeholders and AI agents alike can rely on.

You9ll report to the Staff Manager, Data Engineering & Analytics. Remote or hybrid candidates will also be considered. We believe that there is significant value in in-person collaboration. If you live within a 1 hour commuting distance to one of our offices, you will be required to be onsite most of the time. This will be discussed further as part of the recruiting process.

What You9ll Do

• Design and build our data models and transformations, applying software engineering best practices in dbt on top of our Google BigQuery warehouse to produce datasets that are accurate, performant, and easy to reason about.

• Own the semantic layer in Lightdash, defining metrics, dimensions, and governed datasets so the business gets one consistent, trusted answer to every question 6 no matter who (or what) is asking.

• Act as a leader for our data modeling standards, shaping conventions, review practices, and documentation that keep the transformation layer maintainable as it grows.

• Develop end-to-end with AI coding agents. Our teams build with Claude Code and similar tools, and you9ll use AI-assisted workflows to move faster while upholding quality through testing and review.

• Enable AI-driven analytics, treating the semantic and governance layers as the foundation that agents and MCP connections build on to deliver trustworthy, self-serve answers from data.

• Advance metric governance and definitional consistency, contributing to the auditability and reporting rigor expected of a company operating at scale and under growing scrutiny.

• Partner with cross-functional stakeholders to gather requirements, identify high-value reporting and dashboarding use cases, and ship the models and metrics that drive decisions.

• Train and enable users on self-serve analytics capabilities and best practices, growing the number of people across the business who can confidently answer their own questions with data.

Who You Are:

• An experienced analytics engineer with 5+ years in analytics engineering, data engineering, or a similar role, with a proven ability to model data for reporting and analytics needs.

• Highly experienced with dbt, applying the best practices of software engineering 6 modularity, testing, code review, documentation 6 to data transformation.

• An expert in the modern data stack, with hands-on experience across cloud data warehousing (BigQuery or equivalent), data transformation, and workflow orchestration.

• Experienced with a modern BI / semantic layer such as Lightdash, Looker, or similar 6 and opinionated on where the metrics layer is heading and why it matters more, not less, in an agentic world.

• Fluent in AI-assisted development. You have real experience developing with Claude Code or a similar coding agent, or you9re eager to make AI-driven workflows a core part of how you build.

• Analytically minded. You have experience with or a strong interest in the analytical side of data 6 collecting requirements, defining and implementing metrics, and developing dashboards that tell a clear story.

• A strong cross-functional partner. You build trust with stakeholders easily, translate business questions into well-modeled data, and communicate clearly with both technical and non-technical audiences.

• Technically fluent. You9re proficient in SQL and Python, with a strong working knowledge of software engineering workflow tools such as version control, CI/CD, and testing.

Salary Range:The salary range for this position is $140,000-$220,000. Actual compensation on this range varies based on a variety of non-discriminatory factors, including location, job level, experience, and skill set. This role may be eligible for bonuses, commissions, or other forms of compensation, please ask your recruiter for details.

Reasons To Join Us:

• Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision

• Additional Benefits: Full-time employees are eligible for fertility, commuter, and educational assistance benefits.

• 401(K) Matching Plan: We are proud to offer a competitive 401k matching plan to our employees to support their future financial goals

• Vacation: All salaried employees are eligible for flexible time-off.

• Holiday Pay: All regular, full-time employees are eligible for ten company paid holidays

• Employee Discounts: Employees receive discounts on select grading services for approved submissions

• Flexible Hours: Many of our teams offer flexible schedules with varying shifts and will work with you to accommodate your needs

• Fun Working Environment: Our team members are invited to participate in celebrations, holiday events, and team building activities

• Additional Resources: , PSA