
Senior Data Analysis Specialist
Há 7 dias
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
Job Responsabilities
1. Establish a data monitoring system for warehousing, including maintaining datasource, building data dashboards, and generating periodic data reports for visualization.
2. Monitor the operational health of warehousing, develop frameworks and processes to improve efficiency, and provide optimization suggestions for business processes, labor performance, capacity planning and so on.
3. Provide data support for projects, assisting warehouse teams, product teams, and other departments in smooth business operations.
4. Support ad-hoc data tasks to meet business needs.
Job Requirements
1. Bachelor's degree or above, preferably in Mathematics, Statistics, Computer Science, or related fields.
2. At least 5 years of experience in warehousing data analysis.
3. Proficient in SQL, data tools (such as Tableau, Power BI), and statistical analysis skills, with a solid understanding of analytical methodologies. Responsible for business-related data extraction, analysis, and optimization strategies.
4. English proficiency for workplace communication; Chinese proficiency is a plus.
5. Strong ability to work under pressure and a high sense of responsibility, excellent communication and teamwork skills, independent problem-solving abilities, and adaptability to various data analysis requirements and scenarios.
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