Senior Data Analysis Specialist Job at SHEIN, Washington DC

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  • SHEIN
  • Washington DC

Job Description

Job Title: Senior Data Analysis Specialist I

Reports to: Sr. Director Operations Management

Job Location: Bellevue, WA

Job Status: Exempt, Full Time

About SHEIN

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. Founded in 2012, SHEIN has more than 16,000 employees operating from offices around the world and continues to expand operations globally. Join SHEIN and be the future!

Position Summary

SHEIN is hiring the Senior Data Analysis Specialist I for OM Team based in Seattle. The OM team is a group of operational leaders driving KPI management, tracking actual operation performance versus plan, reporting the corresponding cost drivers, diving deep on savings opportunities, and helping to hold the business owners accountable. You will use solid operation knowledge and business acumen to build data analytical models, interpret data, draw conclusions, and make recommendations at an insightful level that brings the teams on the same page, prioritize programs and resources, drive improvements, and deliver results.

We’re seeking a full-time Senior Data Analysis Specialist I for our City-based corporate office.

Job Responsibilities

  • Analyze logistics performance metrics, including transportation spend, delivery times, inventory levels, and warehouse efficiency.
  • Develop and maintain dashboards and reports to visualize key logistics data for stakeholders.
  • Collaborate with cross-functional teams to identify data-driven solutions for logistics challenges.
  • Conduct in-depth analyses to support operational improvements and process optimization.
  • Monitor trends in logistics data and provide timely insights to management.
  • Ensure data accuracy and integrity by implementing best practices in data collection and analysis.
  • Assist in the development of forecasting models to predict logistics needs and performance.
  • Mentor and guide junior analysts in data analysis techniques and methodologies.

Job Requirements

  • Bachelor's degree in Data Science, Statistics, Logistics, Supply Chain Management, or a related field; Master's degree preferred.
  • 5+ years of experience in data analysis, with a focus on logistics or supply chain metrics.
  • Proficiency in analytical tools and programming languages such as SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  • Strong knowledge of logistics and supply chain concepts and metrics.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Experience with statistical analysis and modeling techniques.

Pay

$86,600.00 min. – $132,600.00 max annually. Plus an annual bonus is offered.

Benefits and Culture

  • Healthcare (medical, dental, vision, prescription drugs)
  • Health Savings Account with Employer Funding
  • Flexible Spending Accounts (Healthcare and Dependent care)
  • Company-Paid Basic Life/AD&D insurance
  • Company-Paid Short-Term and Long-Term Disability
  • Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
  • Employee Assistance Program
  • Business Travel Accident Insurance
  • 401(k) Savings Plan with discretionary company match and access to a financial advisor
  • Vacation, paid holidays, floating holidays, and sick days
  • Employee discounts
  • Free weekly catered lunch
  • Free swag giveaways
  • Annual Holiday Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages

  • SHEIN is an equal opportunity employer committed to a diverse workplace environment.

Job Tags

Holiday work, Full time, Temporary work, Flexible hours,

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