Note: The job is a remote job and is open to candidates in USA. Stord is a commerce-enablement technology and fulfillment company that combines omnichannel fulfillment and shipping with software platforms. The BI Analyst will translate parcel performance data into cost-saving and service-improvement decisions, while building dashboards, maintaining BI infrastructure, analyzing carrier and client data, and serving as a client-facing analytical partner.
Responsibilities
- Build, maintain, and enhance parcel performance dashboards and reports in Omni, covering delivery performance, carrier service levels, cost per shipment, dim weight and box utilization, and exception rates
- Write and maintain SQL queries to extract, join, and structure data from Stord's TMS, WMS, and OMS systems
- Support the Delivery Intelligence program — including DPMP (defects per million parcels) and Carrier Service Performance Program (CSPP) analysis — to surface carrier outliers and drive corrective action
- Analyze carrier and client rate structures to identify cost savings opportunities, freight optimization levers, and service-to-cost tradeoffs
- Automate repeatable reporting workflows to reduce manual effort and improve reporting cadence
- Collaborate with the data and technology teams to improve data structures, maintain integrity across parcel data sources, and build toward more scalable analytics infrastructure
- Serve as the analytical contact for Stord’s brands on quantitative parcel matters — QBRs, cost reviews, carrier performance discussions, and issue escalations
- Develop deep familiarity with each brand's parcel configuration, shipping profile, and carrier setup within OMS/WMS/TMS
- Translate data findings into clear, actionable recommendations that clients and internal stakeholders can act on — not just dashboards, but a point of view
- Partner cross-functionally with CX, Implementations, Finance, and Carrier Strategy to resolve issues that cut across teams
- Identify operational blockers — carrier configuration gaps, routing inefficiencies, service mismatches — and drive them to resolution
- Support client onboarding and go-live readiness from a parcel analytics and configuration standpoint
Skills
- 3–5 years of experience in parcel data analysis, business intelligence, or supply chain/logistics analytics
- Familiarity with parcel carriers (UPS, FedEx, regional carriers) and how carrier rate structures work
- Strong SQL skills — you're writing queries against real systems, not just pulling pre-built reports
- Proficiency in at least one BI tool; Omni, Domo, Tableau, or Power BI experience all translate. Willingness to work primarily in Omni
- Demonstrated proficiency in navigating and understanding OMS/WMS/TMS systems
- Demonstrated ability to synthesize operational data into a recommendation — not just a chart
- Experience in a client-facing or account management capacity, ideally in logistics, 3PL, or e-commerce operations
- Strong communication skills — you'll present findings to clients and to internal leadership, and the audience changes
- Bachelor's degree in Supply Chain, Business Analytics, Data Science, related field preferred, or equivalent experience
- Python or R for analysis beyond what SQL and BI tools can do alone
- Prior experience in a 3PL or e-commerce fulfillment environment
Benefits
- Hybrid work arrangement
Company Overview
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