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Senior Data Analyst

Bluevine

Tel Aviv-Yafo, Tel Aviv District, IsraelOn Site

Original Job Summary

About Bluevine

Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit, all tailored to help entrepreneurs thrive. With top-tier technology and advanced security, Bluevine empowers small businesses and supports over 750,000 customers nationwide.

Role Overview

As a Senior Data Analyst on the Credit team, you will help shape credit risk management strategies to support growth and maintain risk appetite. You will lead projects, dive deep into data, design automated decision processes, and collaborate with cross-functional teams.

What You’ll Do

  • Lead projects on credit offers and risk strategies.
  • Analyze data to identify and manage high-risk customers.
  • Build automated, end-to-end decision processes using Python.
  • Communicate findings to technical and non-technical stakeholders.
  • Collaborate with Data Science, Data Engineering, and Risk Operations teams.

What We Look For

  • Bachelor’s degree in a quantitative field and 4+ years experience.
  • Hands-on experience with Python (2+ years) and advanced SQL skills.
  • Strong analytical mindset, excellent communication, and proactive approach.

Bonus Points

  • Experience with statistical models and BI tools like Tableau or Power BI.
  • Experience with process automation and financial market knowledge.
  • Familiarity with the credit domain.

Benefits & Perks

  • Excellent health coverage and life insurance benefits.
  • Stock options and flexible hybrid work model.
  • Monthly meal card, free parking, gym membership, and mental health benefits.
  • PTO, company holidays, and community volunteering opportunities.

Key skills/competency

  • Credit Risk
  • Data Analysis
  • Python
  • SQL
  • Automation
  • Statistical Modeling
  • BI Tools
  • Data-Driven Decision Making
  • Collaboration
  • Communication

How to Get Hired at Bluevine

🎯 Tips for Getting Hired

  • Research Bluevine's culture: Explore mission, values, and recent news.
  • Customize your resume: Highlight Python, SQL, and analytics.
  • Showcase credit risk experience: Emphasize data-driven projects.
  • Prepare for technical interviews: Practice data analysis and automation questions.
  • Network smartly: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries usage.
Practice SQL query writing.
Study automated decision process design.
Brush up data analysis techniques.

Behavioral Questions

Describe a challenging project collaboration.
Explain your problem-solving process.
Discuss handling tight project deadlines.
Share a time you improved team outcomes.