CarParts.com is seeking a Data Analyst to leverage data to solve complex challenges across finance, sales, and supply chain by applying analytical, statistical, and computational approaches. The goal is to optimize Variable Cost Margin (VCM) and improve freight cost efficiency.
Requirements
- Strong proficiency in Python with experience in Apache Spark .
- Solid hands-on experience with SQL for large-scale data manipulation.
- Experience designing automated reports and visualizations .
- Familiarity with Databricks and cloud-based data platforms.
- Experience working with VCM, freight cost analysis, or profitability KPIs .
Responsibilities
- Leverage PySpark and SQL to process and unify large datasets from multiple sources.
- Design and optimize ETL pipelines for reporting and analytics.
- Apply strong coding skills and analytical thinking to develop scalable solutions.
- Analyze transaction-level data to optimize VCM , improve pricing, and identify cost-saving opportunities.
- Conduct deep -dive analysis into freight costs, shipping patterns, and operational KPIs to recommend improvements.
- Build dashboards and automated reports to monitor VCM, freight efficiency, and profitability metrics .
- Communicate complex analyses and technical solutions in a clear, business-friendly manner.
Other
- Partner with business stakeholders to identify opportunities for data-driven solutions.
- Strong business acumen with the ability to connect data analysis to cost optimization and profitability improvement .
- Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics).
- Prior experience in e-commerce, retail, or supply chain optimization .
