Why Work at Lenovo

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).

• Analyze, transform, and structure raw data from diverse sources to create well-organized, accurate, and highly efficient datasets tailored for reporting and analytical purposes.
• Develop, maintain, and optimize datasets to improve data quality, streamline processing, and enhance performance for BI and reporting solutions.
• Collaborate on BI development projects, focusing on back-end structures and front-end visualizations, using tools like PowerBI and Qlik to create compelling, user-friendly dashboards and reports.
• Partner closely with internal stakeholders, such as reporting and analytics teams, to understand business needs, translate them into data requirements, and deliver BI solutions that meet those needs.
• Work in close alignment with IT and Digital Transformation teams to implement technical solutions that support data integration, data warehousing, and analytics across the organization.
• Lead data profiling and data cleaning efforts to ensure the highest data integrity standards.
• Actively contribute to the organization's data governance by establishing and adhering to best practices in data management, security, and compliance.

• Advanced SQL knowledge with proven experience working with relational databases and query authoring. Familiarity with a variety of SQL databases is essential.
• Strong interpersonal, communication, and collaboration skills with fluency in spoken and written English, enabling effective work with global teams.
• Solid understanding of data warehousing principles, including ETL/ELT processes, STAR and snowflake schemas, and familiarity with Kimball and Inmon methodologies.
• Proficiency in Python for data integration, data manipulation, and building data pipelines; experience with scheduling tools like AirFlow is a plus.
• Hands-on experience with BI tools (e.g., Qlik, PowerBI) for visualization and dashboard creation is highly preferred.
• A degree in Computer Science, IT, or a similar field; a Master's degree is advantageous.
• Relevant data engineering certifications (e.g., Databricks Certified Data Engineer) are a plus.

• An open and stimulating environment within one of the most forward thinking IT companies
• Flat structures and fast decision-making processes
• A modern and flexible way of working to combine personal and professional life
• An international team with a high focus on Diversity & Inclusion
• Attractive compensation package