Data Operations Analyst - Operations Analytics

Data Operations Analyst - Operations Analytics

About Speed Xpress Inc.

Founded in 2022, Speed

X offers a superior last-mile delivery experience designed to better connect brands to customers. At Speed

X, we’re more than just a delivery company – we’re partners in success. We believe that ecommerce delivery shouldn’t be a hassle, a financial strain, or a source of stress for businesses. We created a next-level delivery experience that’s designed to meet business's needs, exceed their expectations, and future-proof their ecommerce business.

In just three years of business, we have grown our client list to over a dozen online marketplaces, 3PLs and direct retailers and are now delivering over 300,000 packages daily worldwide – with the number constantly growing. And we have no plans of slowing down.

The Operations Data Analyst supports high-volume logistics operations by delivering data-driven insights that improve throughput, control cost-per-package (CPP), and provide real-time operational visibility. This role develops dashboards, analyzes operational performance, and works directly with operations leadership to optimize labor planning, processing efficiency, and network flow.

• Analyze high-volume operational data including package throughput, scan rates, labor hours, and cost-per-package (CPP).
• Build and maintain real-time operational dashboards that provide visibility into hourly throughput, backlog, dispatch performance, and productivity.
• Monitor inbound shipments, MAWB arrivals, and scan events to identify operational bottlenecks.
• Partner with Operations Managers to track daily KPIs including productivity, induction rates, dispatch timing, and processing capacity.
• Support labor planning and staffing decisions using volume forecasts and productivity analysis.
• Perform root cause analysis on operational delays, backlog, and service disruptions.
• Extract and analyze data from ERP and MIS systems to ensure accurate operational reporting.
• Design automated reporting tools that improve operational transparency and decision making.
• Deliver daily, weekly, and monthly operational performance reports to leadership.

• Package throughput and processing rate
• Labor productivity and utilization
• Backlog and aging shipments
• Network scan compliance and data accuracy

• Bachelor’s degree in Data Analytics, Supply Chain, Information Systems, Business Analytics, or related field preferred.
• 2+ years of experience in operations analytics, logistics, or supply chain environments
  .
• Advanced proficiency in Microsoft Excel including pivot tables, formulas, data modeling, and automation.
• Experience working with ERP systems and Management Information Systems (MIS).
• Experience with Power BI, Tableau, or similar dashboarding tools preferred.
• Strong analytical and problem-solving skills in fast-paced operational environments.
• Ability to translate complex data into clear operational insights and recommendations.

• Throughput and productivity analytics
• Cost-per-package (CPP) performance analysis
• ERP and MIS system reporting
• Process improvement and operational optimization
• Data visualization and executive reporting

• Real-time dashboards that give operations leaders immediate visibility into hub performance.
• Data-driven insights that improve throughput and reduce cost-per-package.
• Strong integration of ERP and MIS data into actionable operational reporting.
• Analytical support that helps operations scale efficiently during peak volume periods.