Senior Analytics Engineer

The role

You will build and maintain data transformations that turn raw data into analytical tables. You will own client-facing data transformations, design data integrity tests, and partner with Customer Success to build robust transformations across many sources.

What you will do

• Own how client-facing data transformations are built to be faster, better, and more scalable.
• Leverage AI to accelerate, improve, and document work.
• Design and evolve data integrity tests in collaboration with Engineering and Customer Success.
• Partner with Customer Success to understand data and reporting needs and troubleshoot issues.
• Build robust transformations across many sources.
• Refactor and optimize critical models and pipelines.
• Define patterns and conventions for others to follow.
• Improve team processes and developer experience through code reviews and clear communication.
• Coach others and contribute to hiring and onboarding.

Required qualifications

• Track record of owning transformation pipelines over financial or operational data end to end.
• Strong SQL.
• Experience with dbt or similar.
• Comfort with version control, testing, and deployment.
• Ability to drive standards and shape architectural decisions.
• Ability to handle ambiguity without constant direction.
• Commitment to code quality and data integrity.
• Clear, direct, and persuasive communication with technical and non-technical audiences.
• Ability to thrive in a fast-paced environment.

Nice to have

• Experience working with financial data

About the company

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A). It was founded by technical founders with backgrounds from Stanford and MIT.