Data-Driven Knowledge Management Analyst for Insights & AI

Lenovo; North Carolina; On-site; USD 35,000 - 52,000; Full time

Job summary

Lenovo is seeking a Knowledge Management Data Analyst to turn data into actionable insights and improve the customer self-support experience. You will analyze user behavior, optimize knowledge models, and enhance data platforms while working with a global team.

The role emphasizes collaboration with analysts, engineers, and IT vendors to ensure high-quality data and impactful diagnostics in a fast-paced environment.

Qualifications

• Pursuing a degree in computer science, statistics, mathematics, data science, or related field.
• Proficient in Python, SQL, and data analysis tools.
• Strong English communication with a global team.
• Experience with Excel and data visualization tools.
• Ability to independently clean data, engineer features, and train models.
• Ability to present findings clearly to technical and non-technical stakeholders.

Responsibilities

• Analyze customer browsing data using Adobe Analytics to identify trends.
• Evaluate knowledge usage with Power BI to uncover gaps.
• Support issue diagnosis by analyzing user behavior across channels.
• Build and maintain data analytics platforms and dashboards.
• Design metric systems and visualization tools.
• Collaborate with other analysts to share insights.
• Explore ML algorithms and model architectures to enhance diagnostics.
• Work with engineers to ensure accurate data collection and processing.
• Partner with IT vendors to improve data quality.

Skills

Python

SQL

Data analysis

Feature engineering

English communication

Education

Pursuing degree in CS/Statistics/Data Science

Tools

Tableau

Power BI

Excel

Adobe Analytics

Job description

Lenovo is seeking a Knowledge Management Data Analyst to turn data into actionable insights and improve the customer self-support experience. You will analyze user behavior, optimize knowledge models, and enhance data platforms while working with a global team.

The role emphasizes collaboration with analysts, engineers, and IT vendors to ensure high-quality data and impactful diagnostics in a fast-paced environment.