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Senior Analytics Analyst - Logistic Data & Analytics
- Kernersville, North Carolina, United States
- Kernersville, North Carolina, United States
Über
Responsibilities
Lead cross-functional analytics projects to deliver scalable reporting automation and data-driven insights for logistics operations.
Design and implement solutions for collection, processing, and integration of logistics data across cloud platforms.
Develop predictive models and dashboards using SQL, Python, and BI visualization tools to identify trends and optimize operations.
Evaluate, recommend, and help deploy cloud-based analytics tools and modern data platform architectures.
Act as primary liaison between Global Logistics and other business units to align on analytics strategy and initiatives.
Provide on-call/off-hours support for international regions to ensure reporting uptime and SLA compliance.
Requirements
Bachelor's degree or equivalent in Information Systems, IT, Supply Chain, Engineering, or related field.
Minimum 3 years of relevant experience driving analytics solution delivery, reporting automation, and influencing business stakeholders.
At least 3 years hands‑on experience with SQL, Python, and BI visualization platforms such as QlikSense, MicroStrategy, Tableau, or Power BI.
Minimum 2 years experience with cloud analytical platforms (Azure, AWS, or GCP), ETL/ELT integration technologies, and modern data platform concepts.
Experience with Microsoft Office, warehouse management systems (WMS), relational databases, ERP systems including SAP, and project management skills.
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Sprachkenntnisse
- English
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