Parcel Experience BI Analyst

Stord•Atlanta, GA

4d•Hybrid

About The Position

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.

Requirements

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 Haves

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

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.