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Data Analyst at UniUni Logistics
Fontana, California, United States -
Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, SQL, Excel, Python, R, Data Visualization, Business Analysis, Logical Thinking, Information Collection, Systematic Thinking, Problem Analysis, BI Tools, Data Mining, Communication, Collaboration, Cross-Border Logistics, Cross-Border E-Commerce

Industry

Freight and Package Transportation

Description
Completed periodic, daily, and thematic data analysis; used tools to build data reports for data support; assisted in solving business problems through data analysis. Understood business processes, participated in data analysis tasks, and helped identify the causes of short-term, medium-term, and long-term data fluctuations, pinpoint business pain points, and describe trends. Explored business opportunities by analyzing/mining data and contributed unique insights into the business. Coordinated with multiple business departments to support business needs and complete data collection and data analysis. Collaborated across departments, communicated analysis results clearly, and supported the follow-up of conclusion implementation. Bachelor's degree or above, with 2-5 years of relevant data analysis experience. Possess excellent logical analysis ability, outstanding information collection and screening ability, and systematic thinking and problem-analysis ability. Proficient in SQL and Excel; familiar with common BI tools (such as Tableau, Power BI, etc.); proficient in Python/R. Possess data sensitivity and logical thinking ability, and be willing to learn business knowledge. Possess data visualization ability and be able to create clear data reports. Background in cross-border logistics or cross-border e-commerce industry is preferred. Proficient in Mandarin, capable of conducting daily work conversations.
Responsibilities
The Data Analyst will conduct periodic, daily, and thematic data analysis to support business needs and solve problems. They will collaborate with multiple departments to communicate analysis results and implement conclusions.