Senior Analytics Engineer full_time

Mixbook is more than just a place to work – it’s a community where creativity, collaboration, and data-driven decisions fuel our mission to empower human connection. Our Analytics team powers that mission, developing insights and delivering data infrastructure that drives decisions across every part of the business.

We’re looking for a Senior Analytics Engineer to help us rebuild and scale our analytics foundation. You’ll focus on modeling clean, reliable data in dbt, transforming it into Looker dashboards the business can trust, and defining core metrics used across teams. This role is ideal for someone who can balance hands-on technical execution with a strategic mindset and thrives in an environment where the foundation is still being built.

Our current stack includes: Redshift, dbt, Looker, Metaplane, Optimizely, Mixpanel, and GA4.

Location: Remote. Requires early-morning meetings (as early as 6am PST) to collaborate with our Eastern European engineering team.

• Drive Business Performance: Own and maintain executive-level dashboards, ensuring the data models (LookML and dbt) behind them are accurate and scalable.
• Unleash the Power of Data: Develop and refine data models to support Mixbook’s growth. Move us from ad-hoc structures to a more robust, sustainable environment for deeper analysis.
• Transform Our Data Organization: Build repeatable, scalable solutions and guide end users on leveraging these data models for self-service analytics and consistent reporting.
• Champion Data Governance: Establish uniform definitions for key metrics, maintain data quality standards, and implement governance frameworks that ensure confidence in our data.

• Bachelor’s or Master’s degree in a quantitative field (eg, Computer Science, Engineering, Statistics, Economics, Finance, Mathematics).
• 4+ years of proven experience in Analytics or Data Engineering.
• Expert proficiency in SQL and LookML – you’ve built and optimized complex data models in Looker.
• Proven track record with dbt – delivering modular, tested transformations for analytics.
• Experience with Business Intelligence tools (e.g., Looker, Tableau) and an ability to design intuitive, user-friendly data visualizations.
• Success in fast-paced, high-growth environments.
• Comfortable introducing new analytic techniques and driving their adoption across teams.

• Background in B2C eCommerce.
• Experience with Python (including statistical modeling libraries).
• Familiarity with building or maintaining a semantic layer in a data stack.