remote
Operations Data Analyst On-site - Last Mile - Accelerated Global Solutions
Data Analyst
Drive last‑mile logistics insights as an Operations Data Analyst, leveraging SQL, Python, and advanced analytics to optimize delivery performance and support cross‑border e‑commerce supply chains.
About the role
Key Responsibilities
- Collect, clean, and analyze large datasets from last‑mile operations to identify trends and performance gaps.
- Develop and maintain SQL queries and Python scripts for automated reporting and data pipelines.
- Create interactive dashboards in Tableau to visualize key metrics for stakeholders.
- Collaborate with logistics, engineering, and product teams to translate data insights into actionable process improvements.
- Conduct root‑cause analysis on delivery delays, cost variances, and customer satisfaction metrics.
Requirements
- 3+ years of experience in data analysis within logistics or supply chain environments.
- Proficiency in SQL, Python (pandas, NumPy), and data visualization tools such as Tableau.
- Strong analytical mindset with the ability to translate complex data into clear business recommendations.
- Excellent communication skills and experience presenting findings to cross‑functional teams.
- Knowledge of last‑mile delivery operations and cross‑border e‑commerce logistics is a plus.
Skills
sqlpythondata analysisexceltableau