Senior Analytics Engineer
Stash
New York
Data
Business Intelligence
Web Master
Job Score
100 pts
On-site model (+70)
Data (+10)
Business Intelligence (+10)
Web Master (+10)
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.
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).
- Familiarity with Airflow / orchestration, Spark, or Fivetran-style ingestion (you partner with DE; deep platform ownership is not required).
- 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, 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™, 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
- 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 Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Business Intelligence
Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.
Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.
BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.
About Web Master
The Web Master is the professional responsible for maintaining, securing, and ensuring the technical performance of websites and web applications. They manage servers, hosting infrastructure, uptime monitoring, and ensure everything runs fast and reliably.
Key skills include server management (Apache, Nginx), hosting (AWS, Google Cloud, Azure), CDN (Cloudflare), SSL, DNS, web security (WAF, firewall), performance (Core Web Vitals, cache, compression), and versioning (Git, CI/CD). Knowledge of Docker, WordPress, cPanel, and monitoring (Sentry, New Relic) is a differentiator.
Web Masters in technology companies are highly valued, especially those who master DevOps, SRE, and can guarantee uptime and performance at scale. The field offers opportunities from junior webmaster to SRE and infrastructure engineer, with a focus on reliability, security, and speed.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Customer Success
Customer Success is the area responsible for ensuring clients achieve their goals when using the product or service. It is a strategic function for retention, expansion, and customer satisfaction.
Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.
CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).
About Graphic Designer
The Graphic Designer is the professional responsible for creating visual pieces for print and digital communication, from visual identity and logos to marketing materials and packaging. They combine creativity with technique to convey messages visually and impactfully.
Key skills include Adobe Photoshop, Illustrator, and InDesign, CorelDRAW, visual identity design, typography, color theory, packaging design, and motion graphics. Knowledge of vector illustration, offset/digital printing, and print production is a differentiator.
Graphic Designers in technology companies are highly valued, especially those who master social media design, infographics, and can create materials that strengthen brand visual identity. The field offers opportunities from junior graphic designer to art director and design director.
About Finance
The Finance area in technology companies combines traditional financial knowledge with advanced digital tools. FP&A, controlling, and corporate finance professionals are essential for the organization's financial health.
Key skills include financial modeling, metrics analysis (MRR, ARR, LTV, CAC), ERP (SAP, Oracle), and BI tools. Certifications like CFA and CPA-20 are differentiators.
The financial sector offers stable opportunities with competitive salaries, especially in fintechs and large technology companies.
About Branding
Branding is the area responsible for building, managing, and strengthening a brand's identity and market value. Branding professionals create strategies that define how the brand is perceived by the public, from the logo to the complete customer experience.
Key skills include brand strategy, visual identity, brand guidelines, positioning, naming, brand voice, market research, brand equity, and brand management. Knowledge of graphic design (Figma, Illustrator, Photoshop), storytelling, and brand experience is a differentiator.
Branding professionals in technology companies are highly valued, especially those who master employer branding, digital branding, and can build strong, memorable brands in competitive markets. The field offers opportunities from brand designer to head of brand, with a focus on identity, differentiation, and perceived value.
About Administrative
The Administrative area is responsible for ensuring the efficient functioning of all organizational operations. Administrative professionals manage processes, human resources, procurement, and facility management.
Key skills include process management, Office 365, administrative ERPs, compliance, and people management. Knowledge of automation and AI tools is becoming increasingly relevant.
The digitization of administrative processes has created new opportunities for professionals who master technology and management.