About the role
from listingWe are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.
Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Lenovo is looking for a Knowledge Management Data Analyst to join our team. The ideal candidate will be a skilled data analyst who’s passionate about turning data into actionable insights. In this role, you’ll help improve our customer self-support experience by analyzing user behavior, optimizing knowledge models, and enhancing our data platforms. If you’re passionate about technology and enjoy solving problems with data, we’d love to hear from you.
Key Responsibilities
Customer User Behavior Analysis
Analyze customer browsing data from Adobe Analytics to identify trends and improvement opportunities.
Evaluate internal knowledge usage using Power BI to uncover gaps and optimize content.
Support issue diagnosis by analyzing user behavior across multiple support channels.
Data Platform Development
Build and maintain data analytics platforms and dashboards.
Design metric systems and develop visualization tools to support decision-making.
AI Knowledge Optimization
Use AI tools to identify missing or underperforming knowledge content.
Track emerging search trends and compare them with historical data.
Analyze diagnostic results to identify potential product issues and support product improvements.
Model Evaluation Collaboration
Collaborate with other analysts to align on best practices and share insights.
Explore new machine learning algorithms, LLM tools, and model architectures to enhance diagnostic performance.
Work with engineers to ensure accurate data collection, storage, and processing.
Partner with IT vendors to improve data quality and expand data fields.
Required Qualifications
Currently pursuing a degree in computer science, statistics, mathematics, data science, or related fields.
Technical data analysis skills and mining capabilities, able to independently perform data cleaning, feature engineering, and model training.
English speaking skills are necessary for communicating with a global team.
Proficient in Python, SQL, and other data analysis languages and tools.
Proficiency in SQL for data querying
Experience with Excel and data visualization tools (e.g., Tableau, Power BI)
Strong problem-solving skills and ability to interpret data to drive decisions.
Ability to present findings clearly to both technical and non-technical stakeholders.
Ability to work independently and manage multiple projects with tight deadlines.
Preferred Qualifications
Experience with AI products related tools is a plus.
Experience in KM, knowledge graph, and natural language processing.
Proficient in Adobe Analytics.
Knowledge of regression, clustering, and predictive modeling.
Understanding of data privacy, security, and compliance standards.
About You
You are detail-oriented, creative, and passionate about helping others succeed. You have a knack for breaking down complicated information and making it easy to follow. You thrive on improving the customer experience and enjoy working in a collaborative, fast-paced environment.
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, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Employment type: Part-time
Industries: IT Services and IT Consulting