Senior Web Analyst – eCommerce | Hybrid
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- United States
- Work type
- Hybrid
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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.
We are currently hiring a Senior Web Analyst – eCommerce to help grow our company and ensure our mission is achieved! This role owns web and conversion analysis across the eCommerce journey and partners with business and technical teams to define measurement strategies. You will translate complex findings into practical recommendations that help leaders prioritize the eCommerce roadmap and investment decisions.
Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity; opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.
WE ARE:
A team of analysts, technologists, and business partners who turn digital behavior and business data into clear, actionable insights that improve the online customer experience and drive profitable growth across our eCommerce business.
YOU ARE:
A strategic, curious analytics leader who thrives on turning complex data into decisions. You bring deep web and conversion analysis expertise, enjoy partnering across business and technical teams, and communicate findings clearly to leaders and delivery teams alike. You take ownership, set high standards for data quality, and raise the bar for analytics across the organization.
YOUR DAY-TO-DAY:
- Analyze customer behavior across the eCommerce funnel, including acquisition, product discovery, product detail engagement, cart, checkout, and post-purchase experiences.
- Build and maintain dashboards, recurring reports, and self-service analytics that clearly communicate performance, trends, risks, and opportunities.
- Define key performance indicators and measurement plans for site enhancements, campaigns, merchandising initiatives, product launches, and customer experience improvements.
- Partner with eCommerce, Product, Marketing, Merchandising, UX, Engineering, Finance, and Operations teams to translate business questions into analytical approaches and actionable recommendations.
- Evaluate conversion rate, revenue, average order value, engagement, retention, and other commercial metrics by channel, device, customer segment, category, and journey stage.
- Lead deep-dive analyses to identify friction points, emerging trends, and the underlying drivers of performance.
- Support experimentation by developing hypotheses, sizing opportunities, defining test metrics, evaluating results, and recommending next steps.
- Validate analytics implementations and data quality; document tracking requirements and partner with technical teams to resolve gaps or inconsistencies.
- Create forecasts, benchmarks, and business cases that help prioritize the eCommerce roadmap and investment decisions.
- Present concise, decision-ready insights to senior leaders and influence action through clear data storytelling.
- Establish analytical standards, reusable methodologies, and best practices while mentoring analysts and business partners.
YOU’LL BRING:
- Hybrid – 3 days onsite | Atlantic Station Office
- Bachelor’s degree in analytics, business, economics, statistics, marketing, information systems, or a related field, or equivalent practical experience.
- 5 or more years of experience in digital, web, product, customer, or eCommerce analytics.
- Advanced experience with web analytics platforms such as Adobe Analytics, Full Story, and/or Google Analytics.
- Strong SQL skills and experience working with large, complex datasets.
- Proficiency with data visualization tools such as Tableau.
- Demonstrated experience analyzing conversion funnels, customer journeys, digital merchandising, and campaign performance.
- Working knowledge of tagging, data layers, event taxonomies, identity resolution, and analytics quality assurance.
- Strong statistical reasoning, including experience with experimentation, significance, segmentation, forecasting, or predictive analysis.
- Ability to communicate complex findings clearly to technical and non-technical audiences.
- Strong business judgment, intellectual curiosity, attention to detail, and the ability to manage multiple priorities in a fast-paced environment.
- 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
PREFERRED QUALIFICATIONS:
- Experience in retail, marketplace, financial services, or a high-volume transactional eCommerce environment.
- Experience with customer data platforms, tag management systems, digital experience platforms, or cloud data warehouses.
- Experience measuring personalization, search, recommendations, promotions, or loyalty programs.
- Understanding of data governance, privacy, consent management, and responsible use of customer data.
WE OFFER:
- Competitive Compensation
- Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
- Company Matched 401k
- Paid Time Off + Paid Holidays + Paid Volunteer Time
- Diversity Alliance Resource Groups
- Employee Stock Purchase Program
- Tuition Reimbursement
- Charitable Gift Matching
- Job Required Equipment & Services Will Be Provided
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.
