STORD

Parcel Experience BI Analyst

STORD$80K — $95K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of experience in parcel data analysis or logistics analytics
  • Familiarity with parcel carrier rate structures
  • Strong SQL skills for querying live systems
  • Proficient in a BI tool, preferably Omni
  • Experience with OMS/WMS/TMS systems
  • Ability to translate data into actionable recommendations
  • Client-facing experience in logistics or e-commerce operations
  • Strong communication skills for diverse presentations
  • Bachelor's degree in Supply Chain, Business Analytics, or related field preferred

Responsibilities

  • Build and enhance parcel performance dashboards and reports
  • Write SQL queries to extract and join data from various systems
  • Support Delivery Intelligence program to analyze carrier performance
  • Identify cost savings opportunities through rate structure analysis
  • Automate reporting workflows for efficiency
  • Collaborate with data and tech teams to improve data integrity
  • Serve as analytical contact on parcel matters for client brands
  • Develop familiarity with each brand's shipping profiles
  • Translate data findings into actionable client recommendations
  • Identify and resolve operational blockers
  • Support client onboarding for parcel analytics

Benefits

  • Hybrid work environment
  • Opportunity to influence decisions through data analysis
  • Collaboration with cross-functional teams
  • Direct impact on client relationships and outcomes
  • Access to advanced BI tools and technologies
Full Job Description
The Parcel Experience BI Analyst sits at the intersection of data and operations - translating parcel performance data into decisions that reduce cost, improve delivery outcomes, and strengthen client relationships. This is a hybrid role: part analyst building the dashboards and models that power Stord's parcel intelligence programs, part embedded partner for brands who need someone who can explain what the data means and act on it. You'll own the analytical layer of the Parcel Experience team, with direct responsibility for client-facing cost and service analysis, and the BI infrastructure that supports both.

What You'll Do

Analytics & BI
  • 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.


Parcel Experience & Brand Ownership
  • 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.


What You'll Need
  • 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.


Nice to Have
  • Python or R for analysis beyond what SQL and BI tools can do alone.
  • Prior experience in a 3PL or e-commerce fulfillment environment.

About STORD

STORD is a cloud-based warehousing and distribution network that provides modern logistics infrastructure for businesses of all sizes. The company's platform connects a network of warehouses across the United States and provides businesses with real-time visibility, control, and optimization of their inventory and supply chain operations. STORD's mission is to empower businesses with the technology and infrastructure they need to compete in today's fast-paced, global economy.
Learn more about STORD
Size
100 employees
Industry

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