Responsibilities:
- Trusted Self-Service at Scale: Own metric definitions, build the semantic layer powering AI-driven self-service, and govern what gets exposed.
- Faster Value Validation: Partner with squads to translate vague operational pains into working data assets in days.
- Data Products in Front of Users: Own tables consumed by the product and user-facing dashboards for sponsors and sites.
Working Style:
- You are impact-driven and pragmatic, seeking the shortest path to the user's need.
- You are systematic, aiming to improve systems rather than fix symptoms repeatedly.
- You are comfortable in stakeholder conversations, dbt PRs, and quick prototyping.
Requirements:
- Must have 4+ years as an Analytics Engineer or in a hybrid data engineer/analyst role with strong ownership.
- Must have strong dbt and warehouse modeling skills and a track record of owning data products end-to-end.
- Must have a genuine product mindset, excellent communication, and comfort navigating ambiguity.
- Nice-to-have includes fluency with AI-assisted tooling and experience in healthcare or regulated industries.
Inato
Inato is a Tech for Good company building the world's first clinical trial platform to create visibility, access, and engagement for more diverse populations in drug development. The team is a growing group of pharmaceutical experts, software engineers, and other professionals who have been recognized as one of Fast Company's Most Innovative Companies of 2024 and Built In's Best Places to Work 2025.