Operations Data Analysis Supervisor (Control Tower)
About SwiftX
SwiftX Inc. is a U.S.-based last-mile delivery company committed to redefining efficiency and reliability in logistics. We leverage data-driven insights to optimize delivery operations, enhance customer satisfaction, and support the growth of our delivery service provider (DSP) network across the nation.
Position Overview
The Operations Data Analysis Supervisor will be responsible for monitoring, analyzing, and optimizing key operational performance metrics across SwiftX’s delivery network. This role is part of the operations center team and plays a critical role in transforming data into actionable insights that guide strategic and operational decisions.
Key Responsibilities
- Monitor and analyze core business KPIs daily, including pickup/delivery on-time rate (SLA), POD quality compliance, capacity utilization, productivity, cost tracking, and ZIP code coverage.
- Build standardized, unified dashboards to ensure consistent data definitions across departments.
- Produce daily, weekly, and monthly performance dashboards and conduct deep-dive analyses on operational trends and issues.
- Perform root cause analysis on performance deviations and support improvement initiatives.
- Collaborate regularly with Operations, Station Management, DSP Management, Customer Service, and Finance teams to close the loop from data → strategy → execution → review.
- Industry Experience: Minimum 1 year of experience in express delivery, logistics, last-mile delivery, or supply chain, and 2–3 years of experience in data analysis.
- Technical Skills: Proficient in Excel, SQL, and Tableau (or similar BI tools).
- Analytical & Communication Skills: Strong ability to translate complex data into clear business insights and recommendations. Excellent communication and cross-functional collaboration skills.
- Language: Bilingual proficiency in English and Chinese (Mandarin) required.
- Education: Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Industrial Engineering, Logistics Management, or a related field preferred.
· 7 PTO days
· 5 Paid Sick Leave Days
· 6 Paid Holidays
· 401K
· Medical insurance, Dental and Vision Insurance, STD/LTD
Average salary estimate
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