Senior Analytics Engineer

Novo; New York (NY); On-site; USD 125,000 - 140,000; Full time

Job summary

A leading company is seeking an Analytics Engineer to enhance their analytical architecture. The role involves building data products that support customer acquisition, engagement, and decision making, requiring strong SQL skills and experience in data engineering. Candidates with a degree in a quantitative field and relevant experience are encouraged to apply.

Qualifications

• 2-4 years of experience in data roles.
• Strong knowledge of SQL and BI tools.
• Experience in fast-paced environments.

Responsibilities

• Build and maintain data products for decision making.
• Collaborate with cross-functional teams on analytics.
• Influence and improve data culture at Novo.

Skills

SQL

Data modeling

Data analysis

Business intelligence

Python

Education

Bachelor’s degree in a quantitative field

Tools

Snowflake

Metabase

Fivetran

dbt

Heap

Job description

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