Senior Analytics Engineer

Analytics Engineer 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 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 #J-18808-Ljbffr