9 дней назад
Supply Planner – Student
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Supply Planner – Student (Supply Chain Planning/AI): Supporting end-to-end supply planning, order management, and planning operations for multiple product lines with an accent on supply schedules, material availability, ERP data, and AI-powered analysis. Focus on monitoring fulfillment, optimizing inventory, generating planning reports, and coordinating with cross-functional and 3PL teams.
Location: Kiryat Malachi, Israel; on-site at IL – KM at least 3 days per week
Company
develops AI-powered digital investigation and intelligence solutions for public safety organizations, intelligence agencies, and businesses.
What you will do
- Build and maintain supply schedules across multiple product lines.
- Monitor material availability and support continuity of product supply.
- Manage and track sales orders end to end, coordinating with 3PL sites and resolving discrepancies.
- Use AI tools and data analytics to support forecasting, inventory optimization, and planning decisions.
- Maintain planning data in the ERP system and prepare recurring reports.
- Support PMO administration, documentation, status tracking, and cross-functional delivery coordination.
Requirements
- Current BSc student in Industrial Engineering or a related field at an accredited institution, with at least 2–3 semesters remaining.
- Availability to work at least 3 days per week on-site in Kiryat Malachi, Israel.
- Strong analytical, organizational, and problem-solving skills with attention to detail.
- Good MS Office knowledge, including Excel proficiency.
- Proven ability to use AI tools for planning and analysis.
- Excellent verbal and written communication skills in English and a collaborative working style.
Nice to have
- Experience with an ERP system, especially Oracle NetSuite.
Culture & Benefits
- Hands-on experience with end-to-end planning in a fast-paced operations environment.
- Collaboration with cross-functional planning and operations teams.
- Exposure to AI-powered tools and data-driven planning decisions.
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