onsite
Logistics Data Analyst
Data Analyst
Logistics Data Analyst role focused on optimizing supply chain pathways using Python, SQL, and advanced data analysis techniques to audit freight movements, identify bottlenecks, and improve inventory accuracy.
About the role
Key Responsibilities
- Collect, clean, and analyze large datasets from freight and inventory systems to identify trends and inefficiencies.
- Develop and maintain SQL queries and Python scripts for automated data extraction and reporting.
- Create interactive dashboards and visualizations to communicate findings to cross‑functional teams.
- Collaborate with logistics, procurement, and IT teams to implement data‑driven process improvements.
- Perform root‑cause analysis on inventory variances and freight delays, recommending actionable solutions.
Requirements
- Proven experience in data analysis within a logistics or supply‑chain environment.
- Strong proficiency in SQL and Python for data manipulation and automation.
- Hands‑on experience with data visualization tools such as Tableau or Power BI.
- Excellent problem‑solving skills and attention to detail.
- Effective communication skills for presenting insights to non‑technical stakeholders.
Skills
pythonsqldata analysis