Jr. Data Analyst

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Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 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.

Overview

Are you passionate about data analytics to unlock insights that drive innovation, optimization, and smarter decisions across cultures and languages? We are looking for a Junior Data Analyst to join our Globalization Team, where you’ll play a key role in turning raw numbers into meaningful insights that drive smarter global decisions. This role combines data analysis with operational and administrative support - perfect for a detail-oriented, proactive individual looking to grow in the field of analytics.

You’ll Support Our Team With

• Assisting in building and maintaining interactive reports and dashboards to track KPIs, localization performance, cost efficiency, and language quality;
• Analyzing data from multiple sources to guide localization business strategies;
• Assisting with admin and operational tasks like project cost tracking and invoicing;
• Supporting the development of reports that help regional and field teams make informed decisions based on data-driven insights;
• Helping analyze localization data to assess consistency, accuracy, and reliability, while also contributing fresh ideas for improving processes and automation;
• Documenting localization workflows and processes to ensure clarity and scalability across global operations;
• Preparing presentations, reports, and documentation for internal stakeholders and leadership.
  
  

Basic Qualifications

• Bachelor’s degree in a relevant field (e.g., Data Science, Business, or related field).
• Microsoft Excel (Macros, pivot tables, vlookups, data cleaning), Google Sheets, Google Apps Script, Power BI skills, and other basic data visualization tools (e.g., Looker, Tableau).
• Experience with SQL: Ability to write queries to extract and manipulate data.
• Understanding of data cleaning, validation, and preprocessing techniques.
• Familiarity with at least one programming language commonly used in data analysis, Python (pandas, numpy, matplotlib, seaborn) and R (tidyverse, ggplot2).
• Exposure to cloud platforms (e.g., Google Cloud, AWS) is a plus.
• Comfort using collaboration platforms like Jira, Confluence, and Teams.
• Fluent in English and strong in organization and communication skills.
  
  

What We’re Looking For

• Interest in working in a global/localization-focused environment.
• This is a great entry-level opportunity to grow your analytics skills in a dynamic, global environment.
• Strong organizational and time management skills.
• Excellent communication skills and a proactive mindset.
  
  

What You'll Do

This role is ideal for a detail-oriented and proactive individual who is passionate about leveraging data to enhance localization business strategies while ensuring global operations remain organized and efficient. You will play a key role in developing insightful dashboards, analyzing performance metrics, documenting workflows, and supporting administrative and operational tasks, such as project cost tracking and invoicing.

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.