Senior Analytics Engineer

Job not on LinkedIn

🕒 September 9, 2025

🏢🏡 New York City – Hybrid

💵 $125k - $140k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Novo

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💳 Fintech

🤝 B2B

🏦 Banking

💰 $35M Series B on 2022-11

Fintech • B2B • Banking

Novo is a fintech company offering a range of banking services tailored for small businesses, freelancers, self-employed individuals, and consultants. Known for its user-friendly platform, Novo provides tools such as business banking accounts, credit cards, funding solutions, and bookkeeping with AI-powered transaction categorization. Novo integrates with top business tools and provides resources to help customers manage budgets, invoices, and financial insights. Offering secure, seamless banking services, Novo partners with banks like Middlesex Federal Savings to provide FDIC-insured deposit accounts.

📋 Description

• Full stack analytics engineering development including building data models that ingest, transform, and make complex data usable to stakeholders and production level processes • Influence and improve Novo’s data culture through systems, processes, training, and governance • Support hypothesis driven, testing culture • Collaborate cross functionally with data science, growth, marketing, product, and other parts of the business • Improve and maintain a best-in-class modern data stack that powers decision making and insight generation • Build and maintain data products that enable acquisition, increase customer lifetime value (NPV), and drive customer engagement

🎯 Requirements

• Strong knowledge of SQL (ideally Snowflake) and how to write efficient SQL queries • Familiarity with BI tools (preferably Metabase) and experience distributing data insights via reports and dashboards • Track record of shipping high quality products and features at scale • Highly motivated and comfortable working in a fast-paced, dynamic environment with a high degree of ambiguity • Bachelor’s degree in a quantitative field such as Economics, Engineering, Statistics, Mathematics, Computer Science, or related discipline • 2-4 years of experience in computer science, data engineering, data science, data analysis, or business intelligence role • Hands on experience with a modern data stack (Fivetran / Snowflake / dbt / Heap) (Nice to Have) • Strong opinion on analytics engineering development cycle (data modeling, version control, documentation, testing & best practices) (Nice to Have) • Experience in the fintech or banking industry (Nice to Have) • Proficiency in Python (Nice to Have) • Familiarity with machine learning techniques and their application in business contexts (Nice to Have) • Experience with customer segmentation and lifecycle analysis (Nice to Have)