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Progressive Leasing Data Analyst Jobs (NOW HIRING)

Progressive Leasing

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With ... We move fast, but we're deliberate: decisions are grounded in data, rigorous analysis, and a deep ...

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Progressive Leasing Data Analyst information

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$34K

$82.6K

$136K

How much do progressive leasing data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for progressive leasing data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Progressive Leasing Data Analyst, and why are they important?

To thrive as a Progressive Leasing Data Analyst, you need strong analytical skills, experience with data modeling, and a background in statistics or a related field, often supported by a bachelor’s degree in data science, mathematics, or computer science. Familiarity with SQL, data visualization tools like Tableau or Power BI, and proficiency in programming languages such as Python or R are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data and present actionable insights to stakeholders. These skills are vital for turning raw data into strategic business recommendations that support company growth and operational efficiency.

What is the difference between Progressive Leasing Data Analyst vs Retail Data Analyst?

AspectProgressive Leasing Data AnalystRetail Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Economics, or related; skills in data analysis, SQL, and reporting tools
Work EnvironmentFinancial services and leasing industry; office-based with some remote optionsRetail industry; store and corporate office settings, often with retail-specific data tools
Employer & Industry UsageLeasing companies, financial institutions, and fintech firmsRetail chains, e-commerce companies, and consumer goods retailers

Progressive Leasing Data Analysts focus on analyzing leasing and financial data within the leasing industry, while Retail Data Analysts work on consumer and sales data in retail settings. Both roles require similar analytical skills and tools but serve different industry needs.

What are some common challenges faced by Data Analysts at Progressive Leasing, and how can they be addressed?

Data Analysts at Progressive Leasing often work with large, complex datasets from multiple sources, which can present challenges in ensuring data quality and consistency. Navigating evolving business requirements and aligning analysis with stakeholder goals can also be demanding. To address these challenges, it's important to develop strong data validation processes, maintain clear communication with cross-functional teams, and stay adaptable to shifting priorities. Collaborating with IT, product, and business teams will help ensure analyses are accurate and actionable.

What does a Progressive Leasing Data Analyst do?

A Progressive Leasing Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data to help the company make informed business decisions. They work with various teams to identify trends, generate reports, and provide actionable insights that can improve business performance. Their tasks often include data mining, creating dashboards, and ensuring data accuracy, all with the goal of supporting Progressive Leasing’s financial and operational objectives.
Infographic showing various Progressive Leasing Data Analyst job openings in the United States as of June 2026, with employment types broken down into 18% As Needed, 60% Full Time, 11% Part Time, and 11% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Engineer - Purchasing Power (Open to Relocation | Hybrid - Atlanta, GA)

Data Engineer - Purchasing Power (Open to Relocation | Hybrid - Atlanta, GA)

Progressive Leasing

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Progressive Leasing rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we've grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL) platform.
Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we're focused on building simple, responsible financial solutions that put people first. PROG Holdings' portfolio includes Progressive Leasing, a market leader in lease-to-own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform - all united by a commitment to innovation, access, and meaningful impact.
We're looking for a Data Engineer to support the development and operation of our enterprise data platform. This role is highly tactical and execution-focused, contributing directly to the reliability, scalability, and performance of our AWS-based data ecosystem.
This is a hybrid role that requires in-office presence in Atlanta, Georgia (Open to Relocating).
You'll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting real-time ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.
WHAT YOU'LL WORK ON
Data Pipeline Development
  • Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies
  • Implement ingestion pipelines using Kafka Connect and CDC patterns
  • Build transformation and enrichment processes using Spark and PySpark
  • Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools

Streaming Platform Support
  • Support Kafka topic configuration, partitioning strategies, and consumer group management
  • Assist with schema registration and schema evolution practices
  • Troubleshoot streaming pipeline issues and optimize performance
  • Help maintain data integrity and reliability across distributed systems

Data Processing & Transformation
  • Implement business logic and transformations within Spark processing frameworks
  • Develop and maintain Airflow DAGs (or equivalent orchestration workflows)
  • Build lookup and enrichment logic for streaming and batch pipelines
  • Ensure data quality through validation, monitoring, and alerting practices

Platform Operations
  • Monitor pipeline performance, failures, and data latency
  • Assist with observability and monitoring using tools such as Elastic and Kibana
  • Support incident resolution and root-cause analysis for data pipeline issues
  • Contribute to system performance tuning and platform optimization

Collaboration
  • Work closely with the Data Engineering Manager to implement platform architecture
  • Partner with analytics and reporting teams to support BI and data delivery needs
  • Assist with evolving platform integrations and modernization initiatives

WHAT YOU BRING
  • 3-5+ years of experience in data engineering or distributed data systems
  • Hands-on experience building and maintaining pipelines using Spark / PySpark
  • Experience working with Kafka or other streaming platforms
  • Strong SQL skills and experience with data transformation
  • Experience with data orchestration tools such as Apache Airflow
  • Familiarity with AWS-based data environments
  • Strong troubleshooting and debugging skills for data pipelines
  • Curiosity, adaptability, and comfort working in evolving technical environments
  • AI-enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.

WHY THIS ROLE IS UNIQUE
  • We act with intensity, urgency, and a passion for supporting our customers and growing our business
  • We hold ourselves accountable and approach challenges with a positive, "can-do" mindset
  • We deliver as one team, working with integrity, trust, transparency, and respect
  • We believe diversity, authenticity, and curiosity make us better and fuel innovation
  • We continuously ask: Is there a better way?

WHAT WE OFFER
  • Hybrid work model (Atlanta-based)
  • Comprehensive benefits: medical, dental, vision, company-paid Basic Life & AD&D
  • 401(k) Retirement Plan
  • Flexible Paid Time Off
  • Career Development opportunities
  • Employee Purchase Program

Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

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