Senior Data Analyst

🕒 Abril 8

⛷️ Utah – Remoto

⛷️ Utah – Remote

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

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Progressive Leasing

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1999

🛒 Varejo

💸 Finanças

💳 Fintech

Retail • Finance • Fintech

A Progressive Leasing é uma empresa que oferece opções de compra com leasing para consumidores que podem ter crédito abaixo do ideal. Eles fornecem uma maneira conveniente e flexível para os clientes adquirirem itens como móveis, eletrônicos, joias, pneus e rodas, dispositivos móveis, eletrodomésticos e colchões em milhares de lojas em todo o país. Seu processo de subscrição considera vários pontos de dados, como renda e histórico bancário, ao invés de depender exclusivamente de pontuações de crédito, permitindo que mais pessoas sejam aprovadas. Com opções de agendamento de pagamentos automáticos, os clientes podem alinhar os pagamentos aos seus dias de pagamento, aumentando a facilidade e a acessibilidade.

Descrição

• Analyze the end-to-end customer journey, identifying key conversion drivers, drop-offs, and friction points across web, mobile, and internal systems • Perform deep-dive analyses on funnel performance, cohorts, and customer segments to uncover actionable opportunities • Partner with product teams to evaluate experiments and feature performance, ensuring sound interpretation of test results • Translate complex, cross-platform data into clear, actionable recommendations that improve conversion and customer experience • Define and refine KPIs that measure funnel performance and product impact • Connect insights across systems to provide a holistic view of customer behavior and business outcomes • Work with large datasets across Snowflake, HEAP analytics, Amperity CDP, and internal systems • Write and optimize complex SQL queries to support analysis and reporting • Combine and validate data from multiple sources, navigating inconsistencies and gaps where needed • Collaborate closely with product, design, engineering, marketing, and operations teams • Communicate insights clearly to both technical and non-technical stakeholders • Help establish shared definitions and measurement frameworks for conversion and performance

🎯 Requisitos

• Bachelor’s degree in quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics) • 5+ years of experience in product or data analytics • Strong experience analyzing conversion funnels and customer behavior • Advanced SQL skills and experience working in data warehouse environments (e.g., Snowflake) • Experience with BI and visualization tools (Tableau, Power BI, etc.) • Familiarity with product analytics tools (e.g., HEAP) and customer data platforms (e.g., Amperity) or similar systems • Solid understanding of A/B testing principles and interpreting experimental results • Demonstrated ability to take initiative, navigate ambiguity, and deliver insights that drive business impact

🏖️ Benefícios

• Full Health Benefits (Medical, Dental, Vision, Life Insurance) • Paid Time Off, Paid Holidays, and Paid Volunteer Time • Company-Matched 401(k) • Tuition Reimbursement • Employee Resource & Diversity Groups • Charitable Gift Matching • Job-required equipment and services provided