Senior Product Data Scientist
Posted on 3/28/2024
Nav Technologies

201-500 employees

Small business financial health platform
Company Overview
Nav is on a mission to reduce the death rate of small businesses by changing the way business owners secure lending with innovative technology and a customer-centric approach, providing a simple and intelligent financing experience. Nav uses real business data to align qualifications so small business owners can find the right loan, credit card, banking and other business service options.
Data & Analytics
Fintech

Company Stage

Seed

Total Funding

$464M

Founded

2012

Headquarters

,

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

-2%

2 year growth

34%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
SQL
Tableau
Looker
Data Analysis
CategoriesNew
Data Engineering
Data Science
Data Analysis
Data & Analytics
Requirements
  • Passion for digging in, finding insights, and plugging gaps in an empowered and ownership way
  • Deep intellectual curiosity and tenacity, with a desire to quickly test and learn
  • Excited about small businesses and using data to deliver the best customer experience
  • Ability to clearly analyze and explain user journeys, conversion rates, and KPIs
  • Working knowledge of financial health metrics, industry fundamentals, and trends
  • Proven expertise in SQL, data wrangling, ETL processes, data pipelines, and data warehousing
  • Experience with data modeling and automation
  • Proven experience in visualization tools such as Tableau, Looker, etc.
  • Experience with AB/Multivariate testing and attribution modeling
Responsibilities
  • Proactively contribute to, implement, track and analyze product KPIs
  • Build reports, find insights, and recommend actionable improvements for improving KPIs
  • Design and execute experiments, conduct performance analyses, provide recommendations, and monitor success of solutions
  • Work extensively with large amounts of customer and transactional data for analytics and validation
  • Create ML models to predict customer behavior