Senior Analytics Engineer

Aleph

13d • $86,000 - $192,000 • Remote

About The Position

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), aiming to solve the problem of scattered data across multiple systems and excessive time spent on data alignment instead of decision-making. The company is backed by top VCs and works with well-known customers. This is a senior analytics engineering role on Aleph's Data team, responsible for building and maintaining data transformations that convert raw data into FP&A-ready analytical tables. The role involves defining a unified set of transformations across customers while allowing for customization. The company is in a growth phase, focusing on building reliable, performant transformation pipelines and data models, integrating diverse sources at scale, and emphasizing data integrity, performance, and flexibility, with AI integration to improve efficiency and reduce support load.

Requirements

• A track record of owning transformation pipelines over financial or operational data end to end, from source integration through production-ready models.
• Strong SQL and experience with dbt (or similar); comfort with version control, testing, and deployment
• High agency: you drive standards, support and incentivize great practices across the team, and shape architectural decisions. You handle ambiguity without needing constant direction and are the person others trust when things are hard or unclear
• Craft: you care deeply about code quality and data integrity, building transformation layers that are reliable, performant, and well-documented, and refactoring and optimizing at scale
• Communication: clear, direct, and persuasive with technical and non-technical audiences, partnering effectively with Customer Success, Engineering, and stakeholders
• Growth trajectory: you uplevel the team, thrive in a fast-paced environment, coach others, and contribute to hiring and onboarding

Nice To Haves

• Experience working with financial data is a plus

Responsibilities

• Own how we build client-facing data transformations faster, better, and in a more scalable way as we add integrations and customers, including where and how we leverage AI to accelerate, improve, and document that work
• Design and evolve data integrity tests in collaboration with Engineering and Customer Success, so issues are caught before they reach customers
• Partner with Customer Success to understand data and reporting needs, troubleshoot issues, and build robust transformations across many sources
• Refactor and optimize critical models and pipelines, defining patterns and conventions others follow
• Raise the bar through excellent code, thoughtful reviews, and clear communication; improve team processes and developer experience

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed