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Senior Analytics Engineer (I/II) - FP&A Data Transformations

aleph • United States
Full Remote
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Build and optimize data transformation pipelines for FP&A analytics, integrating diverse financial/operational systems. Own end-to-end data integrity, performance, and AI-driven automation. Requires strong SQL/dbt expertise, financial data experience, and leadership in scaling data workflows.

Key Highlights
Own end-to-end data transformation pipelines for FP&A analytics across diverse financial/operational systems.
Leverage AI to accelerate, improve, and document data transformations while ensuring data integrity and performance.
Collaborate with Customer Success, Engineering, and stakeholders to troubleshoot issues and optimize data models.
Key Responsibilities
Design and maintain data transformation pipelines for FP&A analytics.
Collaborate with Customer Success and Engineering to ensure data integrity and troubleshoot issues.
Leverage AI to optimize and document data transformations.
Refactor and optimize critical data models and pipelines.
Raise the bar for code quality, team processes, and developer experience.
Technical Skills Required
SQL dbt Data Transformation Pipelines
Nice to Have
Experience working with financial data.
Experience with BigQuery, Airbyte, Fivetran, or Merge.

Job Description

About Aleph

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), addressing fragmented data and manual processes in finance teams. Founded by technical co-founders with backgrounds from Stanford/MIT and experience at Google, Microsoft, and Bain & Company, Aleph is backed by top VCs (Khosla Ventures, Bain Capital Ventures, YC, Picus Capital) and serves customers like Webflow, Notion, and Zapier.

We are hiring remotely across the Americas (United States, Canada, LATAM).

What we're looking for

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