---
title: 'Data Analyst, Financial Data Engineering at Stripe'
canonical: 'https://feeny.ai/job/data-analyst-financial-data-engineering-stripe-new-york-ptmjnzfq17fa'
type: 'job'
last_seen: '2026-09-06'
---

# Data Analyst, Financial Data Engineering at Stripe

- **Company:** Stripe
- **Location:** New York, NY
- **Posted:** 2026-07-22
- **Last confirmed live:** 2026-09-06
- **Apply:** https://stripe.com/jobs/search?gh_jid=8070572

## Job description

## Who we are

## About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

## About the team

Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support.

## What you’ll do

In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll design, build, and own the scalable data infrastructure that powers analytics and reporting across the company.

Day to day, you'll translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and work with leaders to prioritize the highest-impact data investments. You'll go beyond building dashboards—you'll architect the data layer that makes self-service analytics possible and deliver actionable business recommendations through rigorous analysis and data storytelling.

## Responsibilities

- Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance
- Leverage AI tools (code assistants, LLM-based agents) to accelerate pipeline development, data quality automation, reconciliation, and documentation - expanding technical scope while maintaining quality.
- Model and transform raw data into clean, well-documented datasets that serve as the core foundations for decision making for Treasury Finance (e.g. float positions, cash explainability, risk exposures, liquidity management)
- Establish and enforce data quality standards through testing, monitoring, and alerting on pipeline health
- Establish and own data freshness SLAs, operational alerting, and incident response for your data domains - ensuring production reliability for risk and finance critical workflows
- Partner deeply with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted, reusable financial data products
- Partner deeply with Treasury Finance stakeholders to translate business requirements into data architecture decisions, anticipating needs and helping to drive data strategy rather than reacting to requests
- Build self-service tooling and analytics layer that empower stakeholders to access and explore trusted data autonomously

## Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

## Minimum requirements

- 6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role
- Proficiency in SQL, including complex query optimization and data modeling
- Proficiency in Python for data pipeline development, not just scripting
- Experience with distributed data frameworks like Spark to write and debug data pipelines
- Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
- Proven ability to design, implement, and maintain production-grade data pipelines and dashboards
- Good understanding of development processes and best practices like engineering standards, code reviews, and testing
- Ability to clearly communicate results and drive impact with cross-functional partners
- Experience owning production data products with defined quality standards, testing, and documentation

## Preferred qualifications

- Prior experience at a growth-stage internet or software company
- Prior experience working with Finance or Treasury teams
- Understanding of treasury and finance concepts (e.g., float positions, FX exposure, cash reconciliation, balance sheet usage, liquidity management)
- Experience with data quality frameworks, data contracts, tiering/classification, or SLA management
- Experience creating leadership-level reporting, such as QBRs and MBRs
- Experience building financial reporting infrastructure - e.g. automated treasury processes, regulatory reporting, or finance close
- Proficiency with AI tools (code assistants, LLM agents) to accelerate pipeline development and data quality automation
- Interest in how data products enable automated/agentic workflows — understanding that data quality determines the reliability of every downstream decision

## About Stripe

## Core Business
- Primary industry: Financial services / payments infrastructure
- Target customers: B2B – from startups to global enterprises (e.g., Le Monde, trucking companies)
- Mission: “Increase the GDP of the internet” by making online commerce easier and more accessible

## Products & Services
- **Stripe Payments**: Accept and optimise payments globally – online and in person; supports 135+ currencies and payment methods [stripe.com](https://stripe.com/)
- **Stripe Billing**: Manage subscriptions, invoices, and recurring revenue; over 200 million active subscriptions managed [stripe.com](https://stripe.com/)
- **Stripe Connect**: Embed payments into platforms and marketplaces
- **Stripe Atlas**: Incorporate a company, get everything needed to fundraise and start selling
- **Stripe Terminal**: In-person payments with customisable card readers
- **Stripe Issuing**: Create and manage a card issuing programme
- **Stripe Climate**: Automatically contribute a fraction of revenue to carbon removal

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: $1.9 trillion in payments volume processed in 2025 [stripe.com](https://stripe.com/)
- **Notable Investors/Partners**: Not disclosed in provided sources
- **Growth Signals**:
  - Infrastructure underpins more than 1% of global GDP [stripe.com](https://stripe.com/jobs/life-at-stripe)
  - Over 8,000 employees across 25+ offices worldwide [stripe.com](https://stripe.com/jobs)
  - 99.999% historical uptime for Stripe services [stripe.com](https://stripe.com/)
  - Deploys 10,000+ times per day while maintaining five 9s of reliability [stripe.com](https://stripe.com/jobs/life-at-stripe)
  - 135+ currencies and payment methods supported [stripe.com](https://stripe.com/)

## Competitive Advantages
- **Scale & Reliability**: Processes massive transaction volumes with 99.999% uptime – a level of trust few competitors match.
- **Developer‑First Experience**: Obsessive focus on API design, documentation, and ease of integration; “start with a blank screen, work until a product is ready, polish until exceptional” [stripe.com](https://stripe.com/jobs/life-at-stripe).
- **Global Reach**: Supports 135+ currencies and payment methods, with local offices in 25+ cities to serve regional needs.
- **Network Effects**: The more businesses use Stripe, the more data and infrastructure advantages accrue, making it harder to switch.

## Strategic Focus
- **AI & Agentic Commerce**: Building economic infrastructure for AI, including monetisation through agentic commerce [stripe.com](https://stripe.com/).
- **Crypto & Stablecoins**: Enabling borderless money movement with stablecoins and crypto [stripe.com](https://stripe.com/).
- **Platform Expansion**: Continuing to add financial tools (billing, issuing, terminal, climate) that work individually or together.
- **Globalisation**: Deepening presence in markets like Japan, India, and Latin America.

## Why Work Here
- **Culture**: “Intense and kind” – high expectations paired with a supportive, transparent environment. Weekly all‑hands with senior leaders; decisions based on idea quality, not seniority [stripe.com](https://stripe.com/jobs/life-at-stripe).
- **Growth & Ownership**: “Promotions are tied to demonstrated impact, not tenure.” Employees get substantial responsibility early, often working outside their domain [stripe.com](https://stripe.com/jobs).
- **Work Model**: Hybrid/remote‑friendly – two main HQs (San Francisco & Dublin) plus 25+ offices, and many Stripes work from home or coworking spaces [stripe.com](https://stripe.com/jobs).
- **Benefits**: Comprehensive medical, mental health, financial advisory, family planning, and parental leave. Education team provides onboarding and ongoing expert‑led courses [stripe.com](https://stripe.com/en-gi/jobs/benefits).
- **Diversity & Inclusion**: Employee‑created resource groups (Stripe Communities), accommodations for disabilities, and a commitment to equal opportunity [stripe.com](https://stripe.com/jobs).

## Sources
1. [stripe.com/jobs/life-at-stripe](https://stripe.com/jobs/life-at-stripe)
2. [stripe.com/jobs](https://stripe.com/jobs)
3. [stripe.com/](https://stripe.com/)
4. [stripe.com/jobs/search](https://stripe.com/jobs/search)
5. [stripe.com/en-gi/jobs/benefits](https://stripe.com/en-gi/jobs/benefits)

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