Data Analyst (Open to New Grads)

SHEIN; Toronto; On-site; CAD 60,000 - 90,000; Full time

Job summary

SHEIN is seeking a Data Analyst to support our Vaughan-based supply chain operations. You will analyze logistics data, collaborate with vendors, and help streamline mid-mile and last-mile delivery while ensuring regulatory compliance and data accuracy.

Ideal candidates have a bachelor’s degree and 1–3 years of experience, strong Excel, and proficiency in Python and SQL. You will build KPI reports, budgets, and forecasts to drive informed decisions across functions.

Qualifications

• Bachelor’s degree in business, statistics, finance or data science preferred.
• 1–3 years of experience is acceptable.
• Advanced Excel skills; Python and SQL highly valued.
• Strong analytical and problem-solving abilities to optimize processes.
• Excellent cross-departmental communication and global business understanding.

Responsibilities

• Analyze logistics data to uncover trends and identify process improvements.
• Suggest strategies to reduce mid-mile and last-mile logistics costs.
• Develop annual budgets and monthly forecasts and monitor costs against budget.
• Assist in building the area’s business analytics system and KPI/reporting.
• Identify and mitigate risks in the logistics chain.
• Lead special project analyses including budgets and cost reviews.
• Review and maintain import documentation for regulatory compliance.

Skills

Excel

Python

SQL

Data analysis

Education

Bachelor's degree

Job description

SHEIN is a global 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 150 countries.

Founded in 2012, SHEIN works with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.

To learn more about SHEIN, please visit https://ca.shein.com, follow our Instagram @shein_ca and Youtube @SHEINOFFICIAL.

About SHEIN:

SHEIN is a global 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 150 countries.

Founded in 2012, SHEIN works with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.

To learn more about SHEIN, please visit https://ca.shein.com, follow our Instagram @shein_ca and Youtube @SHEINOFFICIAL.

About the Position

Working Location: Vaughan

Position Overview

The Data Analyst plays a pivotal role in our supply chain operations, ensuring the smooth and efficient movement of goods from origin to destination. This position requires a blend of skills in data analysis, vendor collaboration, customs compliance, document management, and strategic planning. Additionally, it involves significant responsibilities in data processing and analysis, essential for optimizing supply chain efficiency and improving decision‑making processes. The ideal candidate will be adept at navigating the complexities of international logistics, minimizing costs, and enhancing customer satisfaction through excellent service, compliance with regulatory standards, and effective use of data analytics to drive operational improvements.

Key Responsibilities

• Data Analysis and Reporting: Analyze logistics data to uncover trends, pinpoint inefficiencies, and identify opportunities for process enhancements, reporting on performance metrics regularly.
• Cost Management: Implement innovative strategies to reduce logistics expenses, particularly in mid-mile and last-mile delivery segments.
• Establishment and implementation of budget mechanism: formulate annual (budget) and monthly (forecast) budgets, and manage the cost according to the budget.
• System construction: Assist in the construction of the area’s business analysis system, and create a KPI system that reaches the front line, a report system and special case analysis, etc.
• Risk Management: Proactively identify and assess potential risks within the logistics chain, devising and implementing effective mitigation strategies to prevent disruptions.
• Project management: as a special case PM, be responsible for special case analysis solution, including special case budgets, special case investment approval, special case cost review, etc.
• Document Management: Rigorously review, organize, and maintain all necessary import documentation to ensure both accessibility and regulatory compliance.

Qualifications

• Bachelor's degree in business management, statistics, finance, data science and other relevant field is preferred.
• Open to new graduates and professionals with 1-3 years of experience.
• Proficient in Microsoft Office Suite, with advanced Excel skills for analysis. Python and SQL proficiency highly valued.
• Demonstrated ability to quickly adapt to new technologies and tools.
• Outstanding analytical and problem‑solving abilities with a focus on optimizing processes through data analysis.
• Strong business acumen, including a global perspective, an in-depth understanding of business operations, and the ability to pinpoint business challenges.
• Effective cross‑departmental communication skills.
• Capacity to work under pressure, adapt to dynamic conditions, and prioritize tasks in a fast‑paced setting.

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

SHEIN is committed to an equitable and inclusive work environment for all candidates and provides equal opportunities in all employment practices without regard to race, color, national origin, ancestry, religion, sex, sexual orientation, gender identity, pregnancy or childbirth, age, disability, or veteran status.