Sr. Data Analyst

@ Progressive Leasing

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 innovation, they have grown from a start-up to an industry leader. The company is a subsidiary of PROG Holdings (NYSE: PRG) and operates across multiple segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.

Role Overview - Sr. Data Analyst

This remote role is ideal for a driven analytics professional. You will draw business insights from complex data, create interactive visualizations, and build models to guide decision-making. The role involves analyzing transaction patterns, mining unstructured data, and preventing fraud while working with state-of-the-art analytical tools. You will actively contribute to resource allocation and drive business impact using techniques in data mining, visualization, and statistical analysis.

Key Responsibilities

• Create interactive data visualizations to assist business leaders.
• Build and run models for optimal resource allocation.
• Analyze transaction patterns to prevent fraud.
• Extract actionable insights from unstructured data using advanced data mining techniques.

Requirements & 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.
• Proficiency in querying languages (e.g., SQL).
• Strong quantitative analytical skills and creative problem solving.
• Ability to travel approximately 10% of the time if required.

Benefits & Perks

• Competitive compensation and opportunity for advancement in data science or leadership tracks.
• Full health benefits including Medical, Dental, Vision, and Life Insurance plus paid parental leave.
• Company matched 401k, Employee Stock Purchase Program, and tuition reimbursement.
• Paid time off, holidays, and volunteer hours along with various employee resource groups.

Key skills/competency

• Data Mining
• Data Visualization
• SQL
• Python
• R
• Tableau
• Power BI
• Quantitative Analysis
• Fraud Analysis
• FinTech