Ops Support FLM (Data Insights & Planning)

CÔNG TY TNHH SPX EXPRESS Tòa nhà Sonatus
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Chi tiết tuyển dụng

Mức lương: Thỏa thuận
Khu vực: Hồ Chí Minh
Chức vụ: Nhân viên
Hình thức làm việc: Toàn thời gian
Lĩnh vực: Khác

Mô tả công việc

Cascade the forecasted vol and identify the backlog status through models and simulations
Maintain FLM data source for reporting and analytics objective
Headcount planning, CP OT management
In charge of CPO optimization project through multiplier factors review
Lead the weekly/monthly OPS meeting, identify the issues and aligned the solutions
Design and maintain the Reporting system/dashboards
All other adhoc data request

Quyền lợi được hưởng

Probation receives 100% salary and allowances;
Competitive salary and benefits;
Be provided with equipment for work;
13th month salary and year-end performance bonus;
Lunch and phone allowance
Fully participate in social insurance, health insurance, and unemployment insurance;
Opportunities for professional training and advancement based on ability;
Participate in internal company activities with many attractive prizes;
Bao Viet health care insurance package;
Young, dynamic working environment, friendly and helpful colleagues;
Special policies from Shopee (vouchers, campaign gifts, Tet holidays,...).

Yêu cầu kỹ năng

Effective communication through visuals:
Can create clear and concise data visualizations to communicate insights to a general audience
Data Analysis Skills:
- Apply statistical analysis techniques (descriptive statistics, hypothesis testing, regression) to identify trends, forecast demand, and optimize logistics processes
- Extract, clean, and transform logistics data from various sources (databases, spreadsheets)
- Develop compelling data visualizations (charts, graphs) to effectively communicate insights to both technical and non-technical audiences
Planning & Strategy:
- Strategic planning skills: Develop data-driven plans to improve logistics performance, capacity planning, and resource allocation
- Project management experience: Manage data analysis projects, set deadlines, and effectively communicate findings to stakeholders
Logistics Software: Familiarity with logistics-specific software like Transportation Management Systems (TMS)
Industry knowledge in Logistics or eLogistics