Senior Data Analytics Engineer

Role Description

We're looking for a Senior Data Analytics Engineer who thrives in a fast-moving environment and enjoys solving complex data problems across a broad range of business functions. You bring hands-on experience building and maintaining data models, and you're equally comfortable diving into ad hoc analysis as you are designing scalable, automated reporting solutions.

In this role you will get to:

• Develop high-impact reporting and analytics providing visibility into business operations, lead efforts to scale reporting through automation.
• Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, encourage self-service analytics.
• Perform ad hoc data exploration and analysis to answer immediate business needs.
• Identify opportunities to improve data quality, performance, and observability.
• Help develop standards for analytics engineering best practices.

Qualifications

• At least 7 years of experience in analytics engineering, data engineering or analytics-heavy roles.
• Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Math, Economics, bioinformatics etc.), or equivalent experience.

Requirements

• Advanced SQL — strong understanding of CTEs, window functions, query optimization.
• Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights.
• Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis.
• Ability to design and build BI assets that are explainable and sustainable whether they are excel spreadsheets, BI dashboards or powerpoint presentations.

Benefits

• Dynamic, remote-friendly environment that fosters high integrity and collaboration.
• Opportunity to join a collaborative, global team pushing the boundaries of scientific innovation.