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Overview
Lenovo is seeking a passionate and data-driven
E-Commerce CX Data Analyst
to join our dynamic LXG team. At Lenovo, the customer is at the heart of everything we do. You will play a pivotal role in improving online customer satisfaction, engagement, and conversion. This position combines a deep understanding of e-commerce dynamics with strong analytical capabilities to uncover insights that drive measurable business outcomes. The analyst will work cross-functionally with key stakeholders from across the organization to translate data into actionable strategies that enhance the end-to-end online customer journey.
Key Responsibilities
- Voice of Customer (VoC) Management Own survey design, ensure data integrity, manage vendor relationships, and govern operating procedures to enable continuous listening and actionable feedback across Lenovo’s digital ecosystem.
- Data Analysis Visualization Analyze CX and e-commerce metrics such as conversion rates, retention, LTV, and NPS/CSAT to uncover friction points, satisfaction drivers, and growth opportunities across the online customer journey.
- Dashboard Development Design, automate, and maintain dynamic dashboards that visualize KPIs across the digital experience, ensuring data accuracy, accessibility, and strategic alignment.
- Insight Communication Transform complex data into compelling, insight-driven stories and recommendations that influence key business decisions and drive measurable CX improvements.
- Cross-Functional Project Leadership Lead CX initiatives by partnering across global teams to embed customer feedback into design and development. Drive alignment and ensure timely, impactful delivery of insights-driven projects.
- CX Trends Innovation Stay current with emerging trends in CX data science, analytics, and human-computer interaction to continuously elevate Lenovo’s digital experience.
Qualifications
- Bachelor’s degree in Data Analytics, Business, Marketing, Statistics, Economics, or a related field.
- 3–5+ years of experience in e-commerce analytics, customer experience analytics, and/or digital insights roles.
- Knowledge of e-commerce KPIs (e.g., conversion rate, cart abandonment rate, average order value, customer lifetime value), web analytics platforms (e.g., Google Analytics) and ideally familiarity with e-commerce platforms (like Shopify, Magento)
- Proficiency in data visualization tools (e.g., Power BI), programming languages (e.g., Python), and CX platforms
- Demonstrated ability to turn complex data into clear, actionable insights that influence business strategy.
- Excellent storytelling, communication, and stakeholder management skills with experience presenting to senior leaders.
- Passion for understanding customer behavior and optimizing the digital experience.
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