Job Description

Responsibilities:

• Analyze last-mile delivery data to identify trends, inefficiencies, and areas for improvement.
• Develop forecasting models to predict delivery performance, demand fluctuations, and potential bottlenecks.
• Monitor delivery errors, delays, and failures, investigating root causes and recommending corrective actions.
• Create and maintain dashboards, reports, and performance metrics to track key delivery KPIs.
• Work closely with logistics, warehouse, and operations teams to improve last-mile delivery efficiency.
• Utilize data-driven insights to optimize delivery routes, reduce costs, and enhance the customer experience.
• Collaborate with third-party logistics providers and internal teams to address delivery issues and implement solutions.
• Identify anomalies in delivery operations and develop strategies to mitigate risks and disruptions.
• Support automation and process optimization initiatives by leveraging advanced analytics and machine learning techniques.
• Develop and maintain reporting tools and ad-hoc analyses to support decision-making.
• Engage business stakeholders to convert complex business problems into actionable data insights.
• Work closely with cross-functional teams including Business Intelligence, Engineering, and Program Management to improve delivery operations.
• Partner with Business Intelligence Engineers (BIEs) to scale automated solutions and collect stakeholder feedback for continuous improvement.
• Research and implement new data analysis techniques and visualization tools to enhance reporting capabilities.

Qualifications:

• Bachelor's Degree in Business, STEM, Supply Chain, Logistics, Data Analytics, or a related field.
• Minimum of 3 years of experience in business analytics, logistics analytics, or last-mile delivery data analysis.
• Proficiency in SQL for querying large datasets and extracting insights.
• Experience with data visualization tools such as Tableau, Power BI, or Quicksight.
• Intermediate-to-advanced knowledge of Excel, including pivot tables, nested formulas, and VBA scripting.
• Strong analytical and problem-solving skills with a keen eye for identifying trends and anomalies.
• Experience defining requirements and using data and metrics to drive business insights and process improvements.
• Ability to work in a fast-paced environment with multiple priorities and tight deadlines.
• Familiarity with machine learning techniques and predictive analytics is a plus.
• Proficiency in Python or R for automation and advanced data analysis is a plus.
• Experience working with AWS tools such as S3, Redshift, or Lambda is a plus.
• Knowledge of last-mile logistics, courier networks, and e-commerce fulfillment is preferred.
• Bilingual proficiency in Chinese Mandarin and English is a plus.

What We Offer:

• Competitive Compensation (base + bonus).
• Comprehensive medical, dental, and vision coverage.
• 401(k) matching plan.
• Life insurance and disability benefits.
• PTO/Vacation plan.

About JD Logistics

JD Logistics, a business group under JD.com, leverages the company's advanced technology and logistics expertise to provide smart supply chain and logistics services across multiple industries. JD.com has one of the largest fulfillment infrastructures of any e-commerce company in the world, offering small-to-medium-sized warehousing, oversized warehousing, cross-border solutions, cold chain delivery, and more. Our commitment to technology-driven innovation includes fully automated warehouses, drone delivery, and autonomous logistics solutions.

JD.com is an Equal Opportunity Employer. We do not discriminate in our employment decisions on the basis of race, sex, sexual orientation, gender, color, religion, age, genetic information, medical condition, disability, marital status, citizenship or national origin, military membership, veteran status, or any other protected status under applicable laws.

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