Senior Analytics Engineer
aleph · Americas ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data analytics
- Salary
- USD 86,000 – 116,000 / year
Senior analytics engineer on Aleph's Data team, building and owning dbt/SQL transformation pipelines (on BigQuery) that turn raw customer data from ERPs, HRIS, CRMs, and billing systems into FP&A-ready analytical tables. Focus on data integrity, performance, scalable patterns, and using AI to ship faster. Remote across the Americas.
Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), an established software category with a multi-billion market but no clear winner. We’re trying to solve a problem many finance teams are super familiar with: data scattered across a million systems, endless spreadsheets and way too much time spent getting numbers to line up instead of actually using them to make decisions.
Aleph was founded by Albert Gozzi and Santiago Perez De Rosso, two technical founders with backgrounds from Stanford and MIT and experience working at top-tier companies such as Google, Microsoft and Bain & Company. We’re backed by top VCs (Khosla Ventures, Bain Capital Ventures, YC, Picus Capital), and work with customers like Webflow, Notion, Zapier, Y Combinator and many others.
We are hiring remotely across the Americas (United States, Canada, LATAM).
This is a senior analytics engineering role on Aleph's Data team. Our customers integrate diverse systems (financial data, headcount and payroll data, sales and customer data) into Aleph, and we own everything that happens next. We build and maintain the transformations that turn messy raw data into FP&A-ready analytical tables, defining one golden set of transformations across all customers while adding customization where it matters.
We're in an exciting phase of growth, scaling fast on strong foundations. The problems here span building reliable, performant transformation pipelines and data models, and integrating diverse sources at scale. We focus on data integrity, performance, and flexibility, and we lean on AI to ship faster and keep support light.
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
Experience: A track record of owning transformation pipelines over financial or operational data end to end, from source integration through production-ready models. Experience working with financial data is a plus
Strong fundamentals: you can reason about data from source to consumption and make good technical decisions across the pipeline. 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
You're familiar with our stack or can learn quickly:
Transformations: dbt, SQL, Python
Data: BigQuery
Integrations: many sources (ERP, HRIS, CRMs, billing); ingestion includes Airbyte, Fivetran, Merge
Observability: Datadog
Version control & deployment: Git, CI/CD for dbt
While this is a remote-first opportunity, we're focusing on candidates within the Americas to better align with our working hours as a team.
Aleph is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Aleph makes hiring decisions based solely on qualifications, merit, and business needs at the time.