Data Analyst

Key Responsibilities

• Collect, clean, validate, and maintain vehicle and market price data across models and geographic areas.
• Develop and maintain data pipelines (ETL/ELT) and datasets to ensure data accuracy, consistency, and completeness.
• Build and maintain interactive dashboards for inventory aging, market trends, pricing, and business performance.
• Conduct ad-hoc analysis and provide pricing and market insights to support purchasing, sales, and business decisions.
• Monitor price prediction model performance, including accuracy, deviations, outliers, and data quality, and collaborate with relevant teams on improvements.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, or a related field.
• Minimum 2 years of experience as a Data Analyst, preferably in automotive, e-commerce, marketplace, fintech, or other data-driven industries.
• Strong proficiency in SQL and Python, with experience in databases, data warehouses, and ETL/ELT pipelines.
• Proficiency in Looker Studio, Tableau, Power BI, and/or advanced Excel/Google Sheets.
• Strong analytical, problem-solving, communication, and attention-to-detail skills.
• Relevant data analytics certifications, bootcamp experience, or portfolio projects are a plus.