Senior Data Analyst @ Progressive Leasing
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About Progressive Leasing
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With almost 20 years of FinTech experience, the company has evolved from a start-up to an industry leader, continually innovating, simplifying, and valuing people.
About the Role: Senior Data Analyst
This remote position is designed for a driven analytics professional who will extract insights and create data visualizations to drive business results. You will mine data, build models, and analyze patterns to help prevent fraud and optimize resource allocation.
Day-to-Day Responsibilities
- Create interactive data visualizations for business leaders.
- Build and run analytical models for optimal resource allocation.
- Analyze transaction patterns and extract useful insights.
- Utilize tools like R, Python, Tableau, Power BI, and SQL.
- Travel up to 10% as needed.
Qualifications
A Bachelor's degree with relevant experience or an outstanding academic record is required. Candidates should be experienced in data mining, visualization tools, and possess strong quantitative analytical abilities. Creative problem solving and a proven track record in achieving business results are essential.
What We Offer
- Competitive Compensation
- Opportunity to advance on data science and leadership tracks
- Full Health Benefits including Medical/Dental/Vision/Life Insurance and Paid Parental Leave
- Company Matched 401k, Paid Time Off, Holidays, and Volunteer Hours
- Employee Resource Groups and Stock Purchase Program
- Tuition Reimbursement and Charitable Gift Matching
Key skills/competency
- Data Analysis
- Data Mining
- Visualization
- SQL
- Python
- R
- Tableau
- Power BI
- Fraud Detection
- Business Insight
How to Get Hired at Progressive Leasing
🎯 Tips for Getting Hired
- Research Progressive Leasing's culture: Understand their mission and FinTech background.
- Tailor your resume: Highlight analytics and data mining skills.
- Emphasize project outcomes: Detail results from data visualization work.
- Prepare for technical questions: Review SQL, Python, and Tableau essentials.