Associate Analytics Engineer

What you'll do

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Data Modeling & Maintenance: Assist in maintaining scalable, well-documented dbt models that support regulatory reporting and platform safety monitoring.

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Pipeline Optimization: Help build and optimize data pipelines in dbt, ensuring they meet the high standards of auditability required for compliance.

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Cross-Functional Support: Collaborate with legal, policy, and engineering teams to help translate complex transparency requirements into technical data solutions.

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Quality & Standards: Implement data definitions and documentation standards to improve data quality and support long-term maintainability of our safety metrics.

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Technical Reviews: Participate in structured reviews of existing analytics infrastructure to identify performance improvements and alignment with reporting needs.

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Self-Service Enablement: Support the development of our self-service ecosystem by contributing to intuitive semantic layers that serve a broad stakeholder base.

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Monitoring: Help implement validation frameworks that enable performance tracking and early detection of data quality issues.

Who you are

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Foundational Experience: 0–2 years of experience in analytics engineering or data engineering, with a strong desire to work in regulated, safety, or compliance-oriented environments.

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Technical Skills: Proficiency in SQL and Python, and familiarity with modern data stack tools (such as dbt, and control versioning)

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Modeling Interest: A passion for learning how to architect clean, testable data models that support complex reporting needs.

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Communication: Excellent communication skills, with the ability to learn how to translate technical details for legal and policy stakeholders.

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Detail-Oriented: You are able to validate assumptions and prioritize accuracy in a high-stakes environment.

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Mission-Driven: You have a passion for transparency, safety, and building data systems that serve social good.