Senior Data Analyst
@ Progressive Leasing

Hybrid
$120,000
Hybrid
Full Time
Posted 23 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXX****** @progressiveleasing.com
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Job Details

Job Overview

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As a nearly 20+ year old FinTech company, we have evolved from a start-up to an industry leader. In this role, as a Senior Data Analyst, you will drive business decisions using complex analysis, visualization, and data mining.

Your Day-to-Day

  • Create interactive data visualizations for rapid business insights.
  • Build and run models for optimal resource allocation.
  • Analyze transaction patterns to prevent fraud.
  • Extract actionable information from unstructured data.

What You Bring

  • Bachelor’s degree with relevant experience or excellent academic track record.
  • Expertise in data mining and visualization tools such as R, Python, Tableau, or Power BI.
  • Strong quantitative analytical skills and creative problem solving.
  • Willingness to travel approximately 10% of the time.

What We Offer

Competitive compensation, advancement opportunities in data science and leadership tracks, full health benefits, company matched 401k, paid time off, employee stock purchase, tuition reimbursement, and more.

Key skills/competency

  • Data Visualization
  • Data Mining
  • SQL
  • Python
  • R
  • Tableau
  • Analytical Thinking
  • Problem Solving
  • Fraud Analysis
  • Resource Allocation
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How to Get Hired at Progressive Leasing

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize data analysis and visualization skills.
  • Highlight relevant tools: Showcase Python, SQL, and Tableau expertise.
  • Research Progressive Leasing: Understand their FinTech solutions and culture.
  • Prepare examples: Demonstrate problem-solving with data projects.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and database optimization.
Practice visualization using Tableau and Power BI.
Refine Python and R coding through projects.
Study data mining algorithms and fraud detection techniques.

Behavioral Questions

Discuss a challenge and your solution.
Explain how you manage tight deadlines.
Describe teamwork in high-pressure projects.
Illustrate adapting to evolving project requirements.

Frequently Asked Questions