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Senior Analytics Analyst – Logistic Data & Analytics
- Kernersville, North Carolina, United States
- Kernersville, North Carolina, United States
À propos
Use cloud‑based analytics and predictive modeling to identify trends, optimize logistic operational capabilities, and evaluate & implement the latest analytics tools and technologies. Prioritize cloud‑based solutions that offer scalability, reliability, and real‑time data processing.
Serve as liaison between the Global Logistics function and other business units, ensuring alignment on analytical strategic initiatives.
Contribute to the development and direct integration of cloud technology solutions within the logistics and supply chain functions, maximizing their potential for analytics and decision‑making.
Provide off‑hours support for EMEA and APAC to ensure business reporting uptime and proper SLA’s are met, on call on weekends and holidays. Part‑time telecommuting permitted; must be in office 3 days per week.
Requirements Bachelor’s degree or equivalent in Information Systems, Information Technology, Supply Chain Management, Engineering, or a closely related field and 3 years of experience in the position offered or closely related.
Must have 3 years of experience driving complex solutioning & delivery of analytics solutions through scalable reporting automation with minimal supervision, experience with SQL & Python and demonstrated use of BI visualization platforms such as QlikSense, MicroStrategy, Tableau, Power BI, or similar, and project management experience helping leadership influence key business stakeholders.
Must have 2 years of experience with cloud‑based analytical platform implementations & capabilities (e.g., Azure, AWS, GCP), leveraging cloud integration technologies for ETL/ELT processes, modern cloud‑based solution architecture data platform concepts, and Microsoft Office, WMS, relational databases, and ERP systems including SAP.
Location 2755 NC-66, Kernersville, NC 27284
Salary $82,160 - $105,000/yr.
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Compétences linguistiques
- English
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