Graduate opportunity: Data Analyst

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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.

Are you ready to dive into the world of data and make a real impact? Join our innovative team and help us create industry-leading full value chain data products. We're looking for fresh graduates and early-career professionals who are passionate about data analytics and eager to grow in a dynamic environment. What You'll DoDesign and implement algorithms based on customer data to create industry-leading full value chain data products. Collect, clean, and analyze large datasets from various sources to support AI and digitization initiatives.

Communicate and understand global business requirements, and assist in the design of demand solutions related to data mining. Develop dashboards, reports, and visualizations to communicate insights to technical and non-technical stakeholders. Collaborate with cross-functional teams to identify opportunities for process automation and optimization. Support the development and evaluation of machine learning models by preparing and analyzing training data. Monitor data quality and integrity, and implement data governance best practices; assist in the design and implementation of data pipelines and data infrastructure improvements. Possess innovative capabilities to drive business transformation through technological means and enhance business efficiency.

Maintain, upgrade, and develop self-owned apps using C#, Vue. Net, HTML/CSS, VBA, or Python; Collaborate on Data Mart and PBI Visualization enhancements with regional teams worldwide. Explore and enhance low-code/no-code digital tools (RPA+LLM AI) in collaboration with citizen developers in business teams. Stay up-to-date with industry trends in AI, data analytics, and digital transformation. RequirementsUp to 3 years of experience data analysis - this position is suitable for fresh graduates. Strong collaboration skills to work effectively with cross-functional teams. Proficiency in handling large-scale structured and unstructured data. Ability to monitor and improve model performance.

Up-to-date knowledge of AI, machine learning, and logistics technologies. Why You'll Love Working With UsInnovative Environment: Be part of a forward-thinking team that values creativity and efficiency. Impactful Projects: Work on challenging projects that directly influence our logistics operations. Collaborative Culture: Join a supportive and inclusive environment where teamwork is key. Growth Opportunities: Continuous learning and development to keep you ahead in the field. We embrace new ideas and fresh perspectives, making it a great place for recent graduates to start their careers.

What We Offer3 sick days per yearAdditional vacation days100% sick leave compensation up to 2 months per yearA broad selection of soft and hard skills trainings and individual mentoring1: 1 contribution to the Third Pillar Pension SystemHome office flexibility upon team agreementBase gross monthly salary from 1500 EUR, depending on experience + variable part 10% of your annual earnings.

Ready to take your career to the next level and contribute to groundbreaking solutions? Apply now and become a key player in our team!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.