Logistics Data Manager – São Paulo

ABOUT SHEIN

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from 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!

CAREERS AT SHEIN

We Commit to Inclusion

At SHEIN, we believe that diversity is the force that drives innovation. We are committed to creating an environment where all voices are heard, valued and respected. All our vacancies are inclusive for people with disabilities, women, black people, LGBTQIAPN+ community and all types of diversity.

We Empower Talents with Diverse Careers

At SHEIN, we empower talent to excel with regular opportunities to elevate their career in their respective fields. As a dynamic business, we support internal mobility, diverse career pathways and recognition of success and contribution in a variety of meaningful ways.

We Engage with Global Cultures

SHEIN has over 20 offices worldwide , providing talent with many opportunities to collaborate with colleagues around the world. Perspective sharing and leveraging cultural differences, is one of our core strenghts as we work on many exciting projects and draw insights from industry-leading experience.

ABOUT THE ROLE

The Logistics Data Manager plays a critical role in transforming raw data into actionable insights, enhancing operational efficiency across SHEIN’s logistics network. This position requires deep expertise in data analytics, predictive modeling, and visualization tools to support decision-making across first-mile, middle-mile, last-mile operations, reverse logistics, customs clearance, and cross-border logistics.

Key Responsibilities

Data Management & Accessibility: Ensure full access to all logistics-related databases, structuring robust data pipelines for seamless reporting and analysis.

• Predictive Analytics: Utilize historical and real-time data to forecast potential risks, anticipate deviations, and improve operational planning.
• Data Insights & Trend Analysis: Identify patterns and trends from historical results, forecasts, and external factors, providing key insights to support decision-making across operational and business teams.
• Dashboard Development & Maintenance: Design, build, and manage real-time operational dashboards using Tableau, Power BI, SQL, and Python, ensuring clear, visually intuitive performance tracking.
• Operational Analytics: Develop advanced data models and KPIs to monitor and optimize logistics flows, focusing on delivery speed, fulfillment accuracy, cost efficiency, and SLA compliance.
• Process Optimization & Automation: Leverage data-driven insights and automation strategies to enhance logistics performance and operational scalability.
• Strategic Network Planning Data Support: Conduct data analysis for short- and medium-term strategic initiatives, optimizing the logistics network to meet cost and performance objectives.
• Cross-Functional Collaboration: Work closely with local and global stakeholders—including logistics teams, operations managers, and tech teams—to integrate data-driven insights into business strategies.
• Industry Benchmarking: Stay updated on best practices in logistics analytics, comparing SHEIN’s performance against industry standards in e-commerce logistics and supply chain analytics.
• Performance Monitoring & Project Leadership: Develop and track KPIs related to operational efficiency and strategic execution. Oversee high-impact projects from planning through execution, ensuring alignment with organizational goals.

Requirements

• Bachelor’s degree in Data Science, Business, Engineering, Economics, or related fields.
• Fluent English (mandatory) – ability to engage with international teams.
• 5+ years of experience in logistics and/or e-commerce supply chain analytics.
• Proficiency in Tableau, Power BI, SQL, and Python for data visualization, analysis, and automation.
• Experience with large-scale operational datasets, including real-time tracking, demand forecasting, anomaly detection, and geospatial data analysis.
• Proven ability to translate complex data into actionable insights for both technical and non-technical stakeholders.
• Strong problem-solving skills and ability to work independently in fast-paced environments.
• Experience with predictive analytics and machine learning models for logistics optimization.
• Understanding of APIs and data integration between logistics systems.