Senior Data Analyst

• 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.

• 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

• 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

• 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

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