Data Analyst

Responsibilities

• Collect, validate, and process market price data based on vehicle models and geographic areas.
• Clean, standardize, and maintain vehicle unit datasets to ensure accuracy and prevent duplication, missing values, and inconsistencies.
• Develop dashboards, including inventory aging and market movement dashboards.
• Provide pricing insights to improve purchasing and selling accuracy.
• Monitor the performance of price prediction models, including accuracy, deviation, and outliers.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, or related fields.
• 24 years of experience as a Data Analyst in automotive, e-commerce, marketplace, fintech risk, or supplydemanddriven industries.
• Experience in price analysis, valuation modeling, or forecasting.
• SQL and Data Analytics certifications or bootcamp experience are a plus.
• Proficient in SQL (intermediateadvanced), Python, and BI tools such as Tableau, Power BI, or Looker.
• Required soft skills: strong problem-solving ability, data-driven mindset, storytelling with data, attention to detail, analytical thinking, and critical mindset.