Seller Operations Strategy (SPX Express)

What you'll do

• Data Analytics & Seller Performance Insights
• SLA & Success Rate Tracking: Monitor and analyze key logistics metrics (Pick-up SLA, First Mile-to-Last Mile speed, and Delivery Success Rate) to identify underperforming seller segments.
• Root Cause Analysis: Perform deep dives into "Claim Leakage" and "High Loss/Damage" cohorts to provide the Seller Management team with evidence-based talking points for seller consultations.
• Segmentation Strategy: Develop data models to categorize sellers (e.g., High-Volume, At-Risk, or New) to allow for tailored support strategies.
• Automation & Dashboard Development
• Seller Health Dashboard: Build and maintain automated visualization tools (using SQL, Looker studio, or Appscript) that track real-time SPX performance and compensation trends.
• Workflow Automation: Use low-code/no-code tools or scripts to automate routine tasks, such as weekly report generation for top-tier sellers or claim status notifications.
• Alert Systems: Design automated triggers to alert the team when a high-value seller’s logistics performance drops below a threshold.
• Process Optimization & Simplification
• Standard Operating Procedures (SOPs): Audit existing seller support workflows to remove bottlenecks, reducing the "Time-to-Resolution" for seller inquiries.
• Feedback Loops: Create a systematic way to capture seller "pain points" regarding SPX and funnel them into the Product team for systemic long-term fixes.
• Scalability Planning: Simplify the onboarding process for new sellers joining SPX to ensure a frictionless transition.
• Cross-Functional Coordination
• Ops & Product Bridge: Translate seller issues into technical requirements for the Product team to improve the Seller interface or logistics tracking features.
• Stakeholder Management: Facilitate monthly performance reviews between Seller Management and Logistics Operations to align on capacity planning and improvement planning.

Requirements

• Experience: 1+ years in Logistics, E-commerce Operations, or Business Intelligence.
• Graduation: Bachelor's degree in Logistics, Supply Chain, Business Administration, or related field
• Technical Skills: SQL, Excel, Google sheet, and experience with BI Tools (Google Data Studio). Python knowledge is a plus.
• Mindset: A "lean" thinker who hates manual work and loves finding the shortest path to a solution.
• Communication: Ability to explain complex data trends to non-technical stakeholders clearly.