Data Analyst (Python Expertise Required)

About Bluevine

Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence.

Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 750,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed.

At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact?

Join our growing Credit team and help shape how we manage credit risk while supporting Bluevine’s mission and business goals.
You’ll play a key role in developing the credit domain, ensuring we stay within our risk appetite and enable smart, sustainable growth.

What You’ll Do:

• Lead meaningful projects focused on credit offers and risk strategies, balancing risk mitigation with product growth.
  
  
• Dive deep into data to identify high-risk customers and propose thoughtful, data-driven solutions to manage them.
  
  
• Design and build automated, end-to-end decision processes using Python and internal tools to reduce risk efficiently.
  
  
• Clearly communicate your findings and methods to both technical and non-technical stakeholders across the company.
  
  
• Collaborate closely with teams across Bluevine – including Data Science, Data Engineering, and Risk Operations – to make sure our credit strategies are aligned and effective.

What We Look For:

• Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Software Engineering, Industrial Engineering, Mathematics, or Economics 
• 2–4 years of experience in an analytical or data-driven role 
• Hands-on experience (2+ years) working with Python for quantitative analysis 
• Advanced SQL skills
• Strong communication skills in English, both written and verbal 
• Strong analytical mindset with a technical orientation
• Proactive, detail-oriented, and curious
• A great team player who communicates clearly and enjoys working with others
• Ability to turn data into actionable insights and present them to diverse stakeholders

Bonus Points:

• Experience developing statistical or stochastic models
• Experience working with BI tools like Tableau, Power BI, or similar
• Experience with process automation
• Knowledge of financial market
• Experience in the credit domain

Benefits & Perks

• Excellent group health coverage and life insurance benefits
• Stock options
• Flexible hybrid work model
• Large Study Fund contribution
• Salary Benchmarks and Checkpoints 
• Monthly meal card of TenBis or CiBus (your choice) with generous balance
• Free parking for cars, scooters, and bikes
• Free gym membership
• Company-sponsored Mental Health Benefits
• PTO, Company Holidays, and Flexible Holidays
• Community-based volunteering opportunities