remote
Logistics Data Analyst - Beckman Coulter Life Sciences
Data Analyst
Analyze logistics and supply‑chain data to improve operational efficiency, using SQL, Python and visualization tools to drive actionable insights for life‑science manufacturing.
About the role
Key Responsibilities
- Collect, clean, and integrate logistics data from ERP, WMS and external sources.
- Develop dashboards and visual reports to monitor inventory, shipment performance, and lead times.
- Perform statistical analyses to identify bottlenecks, forecast demand, and recommend process improvements.
- Collaborate with operations, engineering and quality teams to translate data insights into actionable initiatives.
- Automate recurring data pipelines and reporting workflows using Python and SQL scripts.
Requirements
- Bachelor’s degree in Data Science, Engineering, Business Analytics or related field.
- 3+ years of experience in data analysis within logistics, supply chain or manufacturing environments.
- Proficiency in SQL and Python (pandas, NumPy) for data manipulation and analysis.
- Experience with data visualization tools such as Tableau, Power BI or similar.
- Strong analytical mindset with ability to communicate findings to both technical and non‑technical stakeholders.