About SHEIN

SHEIN is a general fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 160 countries and regions. Founded in 2012, SHEIN has nearly 18,000 employees operating from offices around the world.

In SHEIN, we work with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.

At SHEIN, our culture is driven by our core values: Customer First, Take Ownership, Deliver Results, Make Change, and Celebrate Diversity. These are not just words, they are the principles that guide our work as we strive to meet the needs of our customers around the world.

About the Position

We’re seeking a Data Analytics Manager to own performance measurement across Mexico’s end-to-end supply chain — from cross-border inbound and customs clearance through warehousing, fulfillment, and last-mile delivery. As the analytical partner to Mexico logistics and warehouse leadership, you will define the metrics that explain cost and service performance, turn complex data into decisions, and build the reporting rhythm that keeps Planning, Logistics, Fulfillment, and Finance aligned.

The impact: sharper cost visibility, faster and better operating decisions, and measurable progress against the region’s savings targets.

Job Responsibilities

- One set of numbers. Own the canonical definitions, sources, and pipeline health for the metrics the Mexico chain runs on: freight and customs spend, inbound and outbound lead times, delivery promise vs. actual, inventory levels and accuracy, warehouse productivity and cost per unit.



You are the final word on why two reports disagree.
- The performance cadence. Build and run the weekly and monthly supply chain review: actuals vs. plan, variance drivers, and the actions that follow. Own the narrative, not just the numbers.
- Deep dives that change something. Lead analyses on specific operational problems — cost per order by shipping option, lead-time variance by lane, stranded vs. sellable inventory, last-mile carrier performance, returns cost — and carry the recommendation through to implementation with the owning team.
- Projects, not just analyses. Own a small portfolio of cross-functional improvement Projects end to end — scope, baseline, target, owner map, milestone plan, and the review cadence that keeps them moving. You are the person who notices a program has stalled and reopens it, not the one who hands over a deck and moves on.
- The continuous improvement mechanism. Turn recurring findings into a standing pipeline: one shared way to define a problem (baseline, root cause, countermeasure, verification), a benefits tracker that Finance will sign off on, and a monthly forum where owners report progress against committed savings.
- Forecasting and planning support. Review and monitor the volume, capacity, and cost forecasts that feed planning, staffing, and budget cycles, in partnership with Planning and Finance.
- Data foundations. Raise the bar on data quality across systems you do not own (OMS, WMS, TMS, carrier invoices):



define validation checks, drive recurring breaks back to the source, and document lineage so the numbers are trusted without a manual reconciliation every cycle.

Job Requirements

- 6-8 years in analytics or BI, including 3+ years in supply chain, logistics, fulfillment, or operations analytics; e-commerce, 3PL, cross-border, or high-volume operational environments preferred.
- Proficiency with writing/reading SQL and using BI tool for data deep dive and visualization
- Strong on the analytical basics — variance analysis, segmentation, statistical significance, forecasting methods — plus the judgment to know when a difference does not matter to the business.
- Professional working proficiency in English. With the ability to present complex data, models, and recommendations clearly and persuasively to senior leadership and cross-functional stakeholders. Spanish is preferred rather than required
- Operational intimacy: you have worked close enough to a warehouse floor or a carrier operation to know which numbers are real, not only how to query them.
- Has operated without a supporting team or heavy tooling: you can go from raw data to recommendations on your own, in a week, without waiting for someone to build you a dashboard.
- Influencing without authority: you can describe a recommendation that operators or finance partners adopted, and what it changed.
- Structured continuous improvement: practical fluency with problem-solving methods (Pareto, 5 Whys, fishbone, DMAIC) and process mapping, applied to real cost or service problems — you can show the before-and-after, not just the certificate.

Preferred Requirements:

- Familiarity with WMS / TMS / OMS data models.
- Marketplace, cross-border e-commerce, or rapid-scaling operations experience.
- Bilingual in English and Spanish

📌 Data Analysis Manager (Ciudad de México)
🏢 SHEIN
📍 Ciudad de México