Senior Analytics Engineer

We started Novo to challenge the status quo— we’re on a mission to build the operating system to destroy the back office, so small businesses (SMB’s) can do more of what they love. Novo is flipping the script of the FinTech world, and we’re excited to lead the small business FinTech revolution.

We are looking for people of character. Pragmatic and capable people who want to see their work drive better outcomes for small businesses — the backbone of our economy. You will join our team and work on the building blocks of everything Novo ships.

  Why Novo?

• Novo is a rapidly growing series B fintech startup with a mission-driven team that’s passionate about helping every small business in America
• Positive, inclusive, supportive culture cheering you on your journey
• We work with very new technologies and architecture patterns 
• We provide learning and development budgets to help you grow and bond with your team 
• Able to work from the office 3+ days per week
• Offices in NYC, Miami, India, and Colombia

Analytics Engineer, Strategy and Analytics

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

Novo values diversity as a core tenet of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.