---
title: 'Senior Analytics Engineer at Stash'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-stash-new-york-f8yem35wy6yr'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Analytics Engineer at Stash

- **Company:** Stash
- **Location:** New York, NY
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-07
- **Apply:** https://ats.comparably.com/api/v2/stash/post/8107167:?gh_jid=8107167

## Job description

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we’re passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom. We also believe in working smarter—leveraging AI and emerging technologies to move faster, operate more efficiently, and focus our time on solving meaningful problems for our customers.

We’re looking for a Senior Analytics Engineer (Technical Level 4) to own and evolve the analytics foundation that powers Stash—our dbt-powered data mart, Looker semantic layer, and the quality systems that keep daily numbers trustworthy for Product, Growth, Finance, and Data Science.

You’ll sit at the intersection of data engineering and data science: production-grade SQL modeling, testing and freshness, clear metric definitions, and close partnership with stakeholders who depend on self-serve data. Company bets (quality growth, Financial Advice, tier packaging, OKR visibility) all run through the mart—if models break, definitions drift, or sources go stale, the business loses trust. Your job is to make that trust durable.

This position operates on a hybrid schedule, requiring you to be on-site in our New York office at least three days per week to work with stakeholders and foster team collaboration.

What you'll do:

- Own core mart domains end-to-end: Design, build, and maintain production dbt models (bronze → silver → gold patterns in our data mart) for high-priority domains such as subscriptions, promotions/attribution, acquisition, and product usage.
- Raise reliability and quality: Drive down recurring dbt test failures; add meaningful tests; document exceptions; partner on freshness SLAs and alerting so stale or wrong data is caught before Looker, OKRs, or DS models.
- Keep Eng and the mart aligned: Partner with Backend / Product Engineering on instrumentation and schema changes (e.g., service migrations). Reconcile parity, get stakeholder sign-off, and cut over without silent metric breaks.
- Enable Data Science and self-serve: Turn DS modeling requests into governed mart objects (grains, definitions, consumers). Build Looker explores/views and documentation so analysts and PMs can answer questions without waiting on a ticket for every pull.
- Improve ops and performance: Contribute to mart job reliability (retries for transient failures, clear ownership of non-retryable logic failures). Profile and refactor high-cost models when reliability work is on track.
- Partner across Data: Work with Data Engineering on upstream contracts and ingestion quality; with Data Science on measurement-ready datasets; with stakeholders on metric definitions that stick.
- Raise the bar for the team: Mentor peers, review PRs for modeling and test quality, and use AI coding assistants productively while owning correctness—especially around financial and customer data.

What we're looking for:

- Experience: 5+ years in analytics engineering, data engineering (analytics-focused), or closely adjacent roles building production analytical data models. Evidence of Senior / L4-equivalent ownership of critical reporting domains.
- dbt & SQL craft: Advanced SQL and production-grade dimensional / mart modeling. Deep dbt experience (models, tests, sources, docs, incremental strategies, performance tradeoffs)—not “I’ve written a few models.”
- Warehouse experience: Hands-on with a modern cloud warehouse (Redshift, dbt, DataFold). Comfort debugging joins, grains, late-arriving data, and cost/runtime.
- BI / semantic layer: Experience exposing trusted metrics in Looker and caring about naming, descriptions, and explore usability.
- Quality mindset: You’ve owned data quality incidents—root cause, stakeholder communication, and durable fixes (tests, contracts, runbooks)—not just hotfixes.
- Collaboration: Strong partnership with engineers, data scientists, and business stakeholders; able to negotiate definitions and push back when a request would create an unmaintainable model.
- Programming: Solid Python for analysis, tooling, and light automation; Git/PR workflows are second nature.
- Education: Bachelor’s in a quantitative or technical field, or equivalent experience.
- AI fluency: Proven hands-on use of AI tools (e.g. Cursor, ChatGPT) in daily workflows, with strong judgment—validating outputs, adhering to Stash guidelines for sensitive data, and owning the quality of AI-assisted work.

Gold Stars:

- Experience in fintech, subscriptions, or regulated environments (PCI / SOC 2 awareness).
- Mixpanel / Segment (or similar) event modeling experience.
- Prior work enabling ML / DS feature tables or experiment assignment grains in the warehouse.
- Mentorship or informal tech-lead experience on an AE / DE squad.
- Familiarity with CI/CD on Github actions.

#LI-Hybrid

Our Commitment to Diversity, Equity, and Inclusion

We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it’s the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash [core value](https://www.stash.com/careers), and to ensure Stashers of all backgrounds and experiences can be their authentic selves.

We are also proud to be the first and only venture-backed fintech to join the[CEO Action for Diversity & Inclusion™](https://lp.stash.com/news/stash-joins-ceo-action-for-diversity-inclusion-initiative/), and as an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.

If you require any reasonable accommodations to make your application process more accessible, please reach out to recruiting@Stash.com.

Helping You Invest in Yourself

- Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
- Complimentary subscription to[Stash+ account](https://www.stash.com/pricing)
- Flexible work policy – We offer a flexible work environment that blends working from home with in-person collaboration at our NYC office to support productivity and team culture.
- Flexible PTO
- Annual learning and development reimbursement benefit
- Work-from-home equipment stipends; home internet subsidy
- Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
- Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health

External Recognition for Stash

- Benzinga’s 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards
- Qorus-Accenture’s 2023 Banking Innovation Awards
- USA Today and Statista’s 2023 Top 500 Best Financial Advisory Firms
- Comparably's Best Company Awards: Best Places to Work, Best Company Outlook, and Best Engineering Team for Diversity, Women, Culture, and more! (2023)
- Fintech Breakthrough Award: Best Personal Finance App (2023)
- BuiltIn’s Best Places to Work (2022, 2021, 2020, 2019)
- Forbes Fintech 50 (2021, 2020, 2019)
- Best Digital Bank, Finovate Awards (2020)
- Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
- LendIt Fintech Innovator of the Year (2020, 2019)

Salary Range: $150,000 - $180,000

The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate’s qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.

**No recruiters, please**

## About Stash

## Company Overview
- **One-liner**: Stash is a digital financial platform that helps everyday Americans save, invest, and build long-term wealth through a subscription-based app offering personalized guidance, fractional investing, banking, and financial education.
- **Entity Type**: Private (Series H, May 2025); acquisition by Grab Holdings announced February 2026 for ~$425M enterprise value (pending close)
- **Headquarters**: New York City, New York, United States
- **Founded**: 2015
- **Founders**: Brandon Krieg and Ed Robinson (Co-CEOs)

## Core Business
- **Primary industry**: Financial Services / Fintech – digital investing, banking, and financial wellness
- **Target customers**: B2C (everyday Americans, especially those new to investing) and B2B (employers via StashWorks)
- **Mission**: Make investing easy and affordable for everyone; empower everyday Americans to build wealth starting with just $5

## Products & Services
- **[Stash App]**: Subscription-based investing and banking platform that offers fractional stock investing, automated managed accounts (robo-advisor), retirement accounts (IRA), and custodial accounts for children. Includes personalized financial guidance and education.
- **[Stock-Back® Debit Card]**: Debit card that rewards purchases with fractional shares of stock (up to 3% back).
- **[StashWorks]**: Employer-sponsored financial wellness benefit that helps employees build healthier financial habits through education and guided tools.
- **[AI Money Coach]**: AI-powered conversational financial guide launched in late 2024, offering personalized, audit-friendly recommendations across investing, banking, and saving. Drives high engagement (~1 in 2 users take a positive action same day).

## Market Standing
- **Valuation/Market Cap**: Enterprise value of US$425 million at the time of Grab acquisition announcement (February 2026). Stash raised a $146M Series H in May 2025.
- **Key Metric**: Over 1 million active paid subscribers; more than $5 billion in assets under management (AUM) as of early 2026.
- **Total Funding**: Over $146M raised in Series H (May 2025) – cumulative funding not fully disclosed.
- **Notable Investors/Partners**: Backed by venture investors (names not specified in sources); acquired by Grab Holdings Limited (parent company). Banking services provided by Stride Bank, N.A.
- **Growth Signals**: Profitable on an Adjusted EBITDA basis post-Series H; expected to generate over $60 million in Adjusted EBITDA by 2028. Cash-flow positive business. Acquisition by Grab provides resources for U.S. growth and potential expansion into Southeast Asia.

## Competitive Advantages
- **Fractional investing pioneer**: Early mover in making stock investing accessible with small amounts.
- **All-in-one platform**: Combines investing, banking, retirement, and education in a single subscription – competing with Robinhood, Betterment, and Acorns.
- **AI-first personalization**: AI Money Coach delivers compliant, actionable guidance at scale – a differentiator in regulated financial services.
- **Strong brand recognition**: Named to Forbes Fintech 50, Comparably’s Best Engineering Team, Built In NYC Best Places to Work, and other awards.
- **Employer channel**: StashWorks offers a B2B distribution moat that deepens user engagement.

## Strategic Focus
- **Post-acquisition growth**: Remain a standalone U.S. brand under Grab while leveraging Grab’s technology and capital to accelerate AI innovation and product development.
- **Expand financial wellness suite**: Continue building AI Money Coach and StashWorks to increase subscriber lifetime value.
- **Potential international expansion**: Grab plans to explore introducing Stash’s investing solutions (including AI Money Coach) in Southeast Asia long-term.
- **Profitable scaling**: Maintain the path to $60M+ Adjusted EBITDA by 2028 through high-margin subscription revenue.

## Why Work Here
- **Culture**: Emphasis on “Prioritize People,” “Take Ownership,” “Create Solutions,” and “Obsess Over The Customer.” Diverse and inclusive culture cited as core value.
- **Work policy**: Hybrid with NYC office presence required (not fully remote).
- **Benefits**: Paid parental leave, excellent medical/dental/vision insurance, flexible time off.
- **Awards & recognition**: Comparably’s Best Engineering Team (2023), Best Places to Work (2023), Built In NYC’s Best Midsize Companies to Work For, USA Today Top 500 Best Financial Advisory Firms (2023).
- **Team**: Approximately 128 employees in the US (per LinkedIn). Notable alumni from JPMorgan Chase, Goldman Sachs, PayPal, Meta; current team includes engineering, product, data science, marketing, operations.
- **Growth opportunity**: Joining at a pivotal moment post-acquisition with access to Grab’s resources – offers exposure to high-scale fintech innovation and potential international projects.

## Sources
1. [stash.com - Careers Page](https://www.stash.com/careers)
2. [stash.com - About Page](https://www.stash.com/about)
3. [stash.com - Homepage](https://www.stash.com/)
4. [linkedin.com - Stash Company Profile](https://www.linkedin.com/company/stashfinancial)
5. [investors.grab.com - Grab Acquisition Announcement](https://investors.grab.com/news-and-events/news-details/2026/Grab-Accelerates-Financial-Services-Roadmap-with-Acquisition-of-Digital-Investing-Platform-Stash-Financial-Inc--2026-5wydDSQuVA/default.aspx)

## Other roles at Stash

- [Senior Director, Strategic Finance](https://feeny.ai/job/senior-director-strategic-finance-stash-new-york-cnzy6m8k0dkk) — New York, NY
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-stash-new-york-m3nbr6aefkz9) — New York, NY
- [Junior Designer](https://feeny.ai/job/junior-designer-stash-new-york-xrs02a6pds9a) — New York, NY
- [Senior Product Manager, Growth](https://feeny.ai/job/senior-product-manager-growth-stash-new-york-q0cx5czze2z7) — New York, NY
- [Growth Manager, Affiliate & Influencer](https://feeny.ai/job/growth-manager-affiliate-influencer-stash-new-york-cbj0qr8xqxcp) — New York, NY
- [Growth Manager, Paid Social](https://feeny.ai/job/growth-manager-paid-social-stash-new-york-d9v3v40s547q) — New York, NY
- [Video Producer](https://feeny.ai/job/video-producer-stash-new-york-xmhp13fz9v2z) — New York, NY
- [Performance Creative Strategist](https://feeny.ai/job/performance-creative-strategist-stash-new-york-e2069r7j8dhc) — New York, NY
- [Senior Lifecycle Marketing Manager](https://feeny.ai/job/senior-lifecycle-marketing-manager-stash-new-york-z1mydzd5h4rr) — New York, NY
- [Backend Engineer III](https://feeny.ai/job/backend-engineer-iii-stash-new-york-syaghzm1tay2) — New York, NY