Data Operations Analyst - Operations Analytics

Data Operations Analyst - Operations Analytics Linden, NJ Job Details Full-time 17 hours ago Qualifications Performance dashboard reports Dashboard development Power BI Data modeling Data visualization software proficiency Automation Supply chain ERP systems Process improvement Data reporting Information Systems Mid-level Cost control Improving operational efficiency Tableau Analysis skills Bachelor's degree Root cause analysis Excel formulas 2 years Data-driven decision making Supply Chain Management Staffing management Excel data analysis Full Job Description About Speed Xpress Inc. Founded in 2022, SpeedX offers a superior last-mile delivery experience designed to better connect brands to customers. At SpeedX, 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. About the role 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. Key Responsibilities 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. Key Performance Metrics Package throughput and processing rate Cost per package (CPP) Labor productivity and utilization On-time dispatch performance Backlog and aging shipments Network scan compliance and data accuracy Qualifications 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. Key Skills Throughput and productivity analytics Cost-per-package (CPP) performance analysis Real-time operations dashboard development ERP and MIS system reporting Process improvement and operational optimization Data visualization and executive reporting What Success Looks Like 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.