Data Analytics Developer **General Information** Req # WD00086894 Career area: Data Management and Analytics Country/Region: Slovakia State: Bratislavský kraj City: Bratislava Date: Wednesday, August 27, 2025 Working time: Full-time **Additional Locations** : * Slovakia **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$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 ourStoryHub (https://news.lenovo.com/) . **Description and Requirements** The Senior WW Operations BI developer will design, develop, implement and deliver BI solutions to support the business needs. He/she will collaborate with business and IT to identify key business requirements. He/she will also have a strong background and experience in working with SQL. In addition, he will also have experience with databases (on prem & cloud) and dimensional modelling. **Responsibilities** + Analyzing raw data, developing and maintaining datasets, Improving data quality and efficiency + Work closely with internal customers (e.g. reporting teams), IT teams & Digital Transformation team **Qualifications** + Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases + Strong communication (fluent in spoken and written English) and collaboration skills to work effectively with teams worldwide + Understanding of data warehousing concepts (ETL/ELT, STAR schema, snowflake schema), Kimball / Inmon methodology is a plus + Hands on experience with Python for use in data integration, data manipulation, data pipelines is a plus + Hands on experience with BI tools (e.g. Qlik, PowerBI) is a plus + Degree in Computer Science, IT, or similar field; a Master’s degree is a plus + Data engineering certification (e.g. Databricks Certified Data Engineer) is a plus **What we offer** + A multitude of professional and personal opportunities + Charity, volunteering + An international organization with a high focus on all types of Diversity in the team + 3 sick days per year + Additional vacation days + 100% sick leave compensation up to 2 months per year + A broad selection of soft / hard skills trainings and individual mentoring + Employer contribution to the Third Pillar Pension System + Life & life events insurance, fully covered by company  Base gross monthly salary starts from 3.100 EUR. The final offer could be, of course, negotiated higher than the advertised minimum - it all depends on your experience! In addition, there is also a variable part (a bonus) in value of 12% of your annual earnings. _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._ **Additional Locations** : * Slovakia * Slovakia **AI PROCESSING NOTICE** We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.