General Information

Req #
100013333
Career area:
Services
Country:
China
State:
Beijing
City:
北京(Beijing)
Date:
Monday, April 19, 2021
Working time:
Full-time

Why Work at Lenovo

Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society that’s brighter and more inclusive. 

And we go big. No, not big—huge.

We’re not just a Fortune 500 company, we’re one of Fortune’s Most Admired. We’re in 180 countries, working with 63,000 brilliant colleagues and counting. And we’re known for the world’s most complete portfolio of smart technology, from devices to software to infrastructure.

With our ingenuity, we help millions—not just the select few—experience our version of a smarter future. 

The one thing that’s missing? Well… you...

Description and Requirements

1. Use mathematical statistics and machine learning algorithms to carry out data mining, model development, optimization and monitoring, and output regular reports; 2. Data analysis, including but not limited to user life cycle value, user portrait analysis, etc., to provide data support for operational decisions; 3. Optimized business logic and KPI; 4. Assisted in the processing of other data classes. 1. Bachelor degree or above in Statistics, Applied Mathematics, Computer Science, Supply Chain or related major, or master degree from a key university is preferred; Full-time 211/985 bachelor's degree in Statistics, Applied Mathematics, Computer Science, Supply Chain or related field, master degree from a key university is preferred; 2. At least 1-3 years of experience in data analysis; 3. Fluent in English listening, speaking, reading and writing, proficient in office software; 4. Familiar with PowerBI, FineReport, QLIK and other data analysis tools; 5. Familiar with SQL Server and MySQL database; 6. Familiar with VBS, BAT and other scripting languages, or process automation tools, familiar with Java and Python languages; 7. Can independently complete data extraction and cleaning, analyze business problems, and propose improvement directions based on analysis conclusions; 8. Careful, proactive, good at communication and team work spirit.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class.