---
title: 'Senior Analytics Engineer at Aleph'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-aleph-americas-y3s0zm8bxpqd'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Analytics Engineer at Aleph

- **Company:** Aleph
- **Location:** Americas
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-05
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/aleph/a0c00505-eb26-4f61-ab30-062ff38cfef4

## Job description

## ABOUT ALEPH

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).

## 🔍 WHAT WE'RE LOOKING FOR

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.

## 🧑‍💼 WHAT YOU'LL BE DOING

- 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 YOU BRING

- 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

## 🛠️ TECH STACK

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.

## About Aleph

## Company Overview
- **One-liner**: Aleph provides an AI-native FP&A (Financial Planning & Analysis) and data management platform that centralizes financial data, automates reporting, and supercharges spreadsheets for finance teams.
- **Entity Type**: Private (Series B; total funding $45.8M)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Albert Gozzi (Co-Founder & CEO) and Santiago Perez De Rosso (Co-Founder & CTO)

## Core Business
- **Primary industry**: Financial Planning & Analysis (FP&A) software, data management, AI-driven analytics
- **Target customers**: B2B; finance and operations teams at mid-market and enterprise companies (e.g., Turo, Notion, Zapier, Envoy, Postscript)
- **Mission/purpose**: Empower finance and operations teams to centralize financial data from disparate systems, extract insights, and make better decisions faster.

## Products & Services
Major offerings include:
- **Connect & Sync**: 150+ no-code connectors to sync ERP, HRIS, CRM, and other data in real time.
- **Consolidate & Transform**: Smart logic to map fields, combine tables, run calculations, and clean data using AI.
- **Automate & Analyze**: AI-driven variance analysis, automated financial reporting and close processes.
- **Visualize & Share**: Interactive dashboards and reports for key metrics, trends, and stakeholder visibility.
- **Headcount Planning**: Automatically connect HRIS, ATS, and headcount spreadsheets for workforce planning.
- **Modeling & Forecasting**: Centralized models, forecasts, and assumptions with change tracking.
- **Collaborative Budgeting**: Streamlined budget planning with owner adoption.
- **Investor & Board Relations**: Easy report generation for stakeholder updates.
- **AI Agents & Assistants**: Deploy AI agents to handle routine tasks, reducing busywork.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $45.8M (as of 2025); latest round was $29M Series B in September 2025. Estimated annual revenue of $1.2M (per LinkedIn, likely early-stage figure).
- **Notable Investors/Partners**: Bain Capital Ventures, Khosla Ventures, Y Combinator. Also works with well-known customers like Turo, Notion, Zapier, Envoy, and Postscript.
- **Growth Signals**: 73 employees as of mid-2025 (77.4% YoY growth); operates across 11 countries; over 90% of trial users become customers; strong LinkedIn follower growth (+140% YoY).

## Competitive Advantages
- **Spreadsheet-first approach**: Unlike web-only FP&A tools, Aleph integrates directly with Excel and Google Sheets, allowing teams to keep their existing models while adding real-time data sync.
- **AI-native platform**: Uses AI to automate data cleaning, variance analysis, and reporting, eliminating manual busywork.
- **Fast implementation**: “See the value on day one” with minimal onboarding compared to legacy solutions.
- **High customer conversion**: >90% trial-to-customer rate indicates strong product-market fit.

## Strategic Focus
- **AI automation**: Replacing routine finance tasks with AI agents, analysts, and assistants to “multiply output without multiplying headcount.”
- **Remote-first global team**: Scaling a distributed workforce across the Americas and beyond.
- **Deepening integrations**: Continuing to expand the 150+ connector library and improving data reconciliation capabilities.

## Why Work Here
- **Remote-first culture**: Team spans six countries; flexible work hours; two to three annual offsite retreats (e.g., Panama, Dominican Republic, Argentina).
- **Benefits**: 401(k) with up to 3% matching (US), fully paid health/dental/vision, employee equity, unlimited PTO.
- **Engineering culture**: Low-ego, bias for action, “own the outcome” mindset; pushing the limits of the FP&A industry.
- **High employee satisfaction**: 5.0/5.0 rating on LinkedIn (14 reviews) with top marks for culture (5.0), career growth (4.8), and compensation (4.8).
- **Open roles** (as of mid-2025): Frontend Engineer, Software Engineer, Engineering Manager, Account Executive (SMB), Engagement Manager, Engagement Associate, MBA Summer Intern.

## Sources
1. [getaleph.com](https://www.getaleph.com/)
2. [getaleph.com/about-us](https://www.getaleph.com/about-us)
3. [linkedin.com/company/getaleph](https://www.linkedin.com/company/getaleph)
4. [jobs.ashbyhq.com/aleph](https://jobs.ashbyhq.com/aleph)
5. [getaleph.com/careers](https://www.getaleph.com/careers)

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