Salary
💰 $125,000 - $140,000 per year
About the role
- 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)