Pricing Data Analyst, Remarketing

Role Overview

The Pricing Data Analyst, Remarketing is responsible for maximizing financial outcomes across Element’s U.S. and Canadian remarketing portfolio through advanced analytics, automation, and data science–driven pricing strategies.

What You Will Do

Design, develop, and continuously optimize Python-based pricing models, machine-learning-enabled valuation methodologies, and SQL-based Fair Market Value (FMV) tools to directly influence conversion rates, pricing accuracy, and overall portfolio profitability.

Why It Might Be a Fit

Partner closely with remarketing leadership, operations, and analytics stakeholders to deliver scalable, automated pricing solutions, actionable insights, and data visualization that enhance decision-making, operational efficiency, and financial performance for Element and our clients.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Finance, Analytics, or a related quantitative field
• 3+ years of experience in data science, analytics, pricing, or valuation-focused roles in a professional or corporate environment
• Strong proficiency in Python for data analysis, modeling, and automation
• Strong SQL skills with experience managing and querying large datasets
• Advanced analytical, statistical, and problem-solving skills
• Experience translating complex analytical outputs into business-facing insights
• Proficiency in Microsoft Excel, Word, and PowerPoint

Benefits

• Dental insurance
• Vision insurance
• Disability-related accommodations during the application and interview process
• Background check only if and after a conditional offer of employment has been extended

Tagged as: Data Analysis