Want to get hired at Progressive Leasing?
Senior Data Analyst
Progressive Leasing
HybridHybrid
Original Job Summary
About Progressive Leasing
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions, with nearly 20 years of experience in the FinTech industry. As part of PROG Holdings (NYSE: PRG), our team is driven by grit, innovation, and a commitment to doing the right thing.
Role Overview: Senior Data Analyst
As a Senior Data Analyst at Progressive Leasing, you will extract business insights through complex analysis, data mining, and interactive visualizations. You will work closely with business leaders to drive data-informed decisions and optimize resource allocation, ensuring operational and financial performance improvements.
Key Responsibilities
- Create interactive data visualizations to track performance and market trends.
- Build and run models for optimal resource allocation.
- Analyze transaction patterns to prevent fraud.
- Extract usable information from unstructured data using advanced mining techniques.
Qualifications
- Bachelor’s degree with relevant work experience or outstanding academic record.
- Experience with data mining and visualization tools such as R, Python, Tableau, or Power BI, and SQL.
- Strong quantitative analytical abilities and creative problem-solving skills.
- A track record of achieving business results through careful implementation.
- Ability to travel approximately 10% as needed.
What We Offer
- Competitive compensation and advancement opportunities in data science and leadership.
- Comprehensive health benefits, including Medical, Dental, Vision, and Life Insurance.
- Company matched 401k, paid time off, holidays, and volunteer hours.
- Employee resource groups, stock purchase program, tuition reimbursement, and more.
Key Skills/Competency
Data Analysis, Data Mining, Visualization, SQL, Python, R, Tableau, Power BI, Fraud Analysis, Quantitative Analysis
How to Get Hired at Progressive Leasing
🎯 Tips for Getting Hired
- Research Progressive Leasing's culture: Study their mission and recent news.
- Tailor your resume: Emphasize data mining and visualization skills.
- Highlight technical expertise: Showcase proficiency in Python, SQL, Tableau.
- Prepare for interviews: Practice problem-solving and behavioral questions.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL query techniques.
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Practice Python and R data scripts.
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Explore Tableau and Power BI dashboards.
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Study advanced data mining methods.
Behavioral Questions
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Describe a challenging project you solved.
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Explain how you handle tight deadlines.
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Discuss your teamwork experience on analytics projects.
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Share an example of creative problem solving.