Senior Web Analyst – eCommerce | Hybrid

Prog Leasing•Atlanta, GA

2d•Hybrid

About The Position

Progressive Leasing is hiring a Senior Web Analyst to own web and conversion analysis across the eCommerce journey and partner with business and technical teams to define measurement strategies. The role translates complex findings into practical recommendations that help leaders prioritize the eCommerce roadmap and investment decisions. The analyst will assess customer behavior across the eCommerce funnel, build dashboards and recurring reports, define performance indicators and measurement plans, and conduct deep-dive analyses to uncover customer experience friction and performance drivers. They will support experimentation, validate analytics implementations and data quality, develop forecasts and business cases, and present decision-ready insights to senior leaders. The role also establishes analytical standards and reusable practices while mentoring analysts and business partners. This is a hybrid position with three days onsite at the Atlantic Station Office. Progressive Leasing describes its culture as focused on inclusive collaboration, innovation, and development.

Requirements

Bachelor’s degree in analytics, business, economics, statistics, marketing, information systems, or a related field, or equivalent practical experience.
At least 5 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 ability to manage multiple priorities in a fast-paced environment.
Curiosity, adaptability, and openness to learning as roles and workflows evolve, including as AI-enabled tools become more widely used.

Nice To Haves

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.

Responsibilities

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 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 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 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 work with technical teams to resolve gaps or inconsistencies.
Create forecasts, benchmarks, and business cases to help prioritize the eCommerce roadmap and investment decisions.
Present concise, decision-ready insights to senior leaders and influence action through data storytelling.
Establish analytical standards, reusable methodologies, and best practices while mentoring analysts and business partners.