Senior Analytics Engineer

About Us:

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business.

We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.

At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.

We are looking for an Analytics Engineer to help build and improve the analytical architecture that powers decision making at Novo. This role will partner closely with cross functional teams in credit, growth, marketing, and banking to build data assets that will be used to understand, run, and grow Novo’s business.

About the Role:

As an Analytics Engineer, Strategy and Analytics at Novo, you will play a crucial role in driving data-driven strategies across our entire product suite. Your primary focus will be on building and maintaining the data products that unlock our teams to acquire more customers (account volume), increase customer lifetime value (NPV), and drive customer engagement on our platform. You will be responsible for:

• 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 that level us up
• Support our 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
  
  

Requirements for the Role:

• 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
  
  

How We Define Success:

• Ability to self start to conceptualize, design, and execute data products end to end
• Have a direct impact on Novo’s ability to book new customers, and expand our business
  
  

Nice To Have, but Not Required:

• Hands on experience with a modern data stack (Fivetran / Snowflake / dbt / Heap)
• Strong opinion on analytics engineering development cycle (data modeling, version control, documentation, testing & best practices)
• Experience in the fintech or banking industry.
• Proficiency in Python.
• Familiarity with machine learning techniques and their application in business contexts.
• Experience with customer segmentation and lifecycle analysis.
  
  

Compensation:

The compensation range for this role is $125,000 - $140,000