Data Analytics Manager - Warehouse & Fulfillment

SHEIN; Whitestown (IN); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health Savings Account with Employer"s

Flexible Spending Accounts

Company-Paid Life/AD&D

Disability Insurance

401(k) with company match

Vacation and holidays

Job summary

SHEIN is seeking a Data Analysis Manager to support US Fulfillment and Operations with advanced analytics, scalable reporting, and data-driven decision support. You will improve warehouse performance, labor planning, cost efficiency, and operational execution by building end-to-end data solutions and forecasting models.

The ideal candidate combines strong analytical and technical capabilities with deep knowledge of fulfillment and warehousing.

Qualifications

• 6+ years of experience in data analysis, BI, or analytics roles within ecommerce, fulfillment, or supply chain.
• Proven experience building full-stack data solutions including data pipelines, automated reporting tools, dashboards, and models.
• Strong understanding of fulfillment center operations, warehouse processes, and KPI reporting.

Responsibilities

• Provide analytics and BI support for US Fulfillment and Operations leadership.
• Build and maintain forecasting, labor planning, and capacity planning models.
• Develop end-to-end data pipelines and dashboards for warehousing scenarios.
• Lead metrics and KPI reporting for cost, CPU, productivity, and efficiency.
• Collaborate with cross-functional teams to diagnose challenges and deliver data-driven recommendations.
• Monitor data quality and support root-cause analysis for operational issues.

Skills

Data analysis

BI reporting

Full-stack data solutions

Forecasting models

Stakeholder communication

AI tooling

Education

Bachelor's degree or higher

Tools

SQL

Python

BI dashboards

Job description

SHEIN is seeking a Data Analysis Manager to support US Fulfillment and Operations with advanced analytics, scalable reporting, and data-driven decision support. You will improve warehouse performance, labor planning, cost efficiency, and operational execution by building end-to-end data solutions and forecasting models.

The ideal candidate combines strong analytical and technical capabilities with deep knowledge of fulfillment and warehousing.