Bratislava, Bratislavský kraj, Slovakia
3 days ago
Data Analytics Developer
General Information Req # WD00083727 Career area: Data Management and Analytics Country/Region: Slovakia State: Bratislavský kraj City: Bratislava Date: Tuesday, June 10, 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$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. Description and Requirements




Join our worldwide Data Analytics Team and enjoy the opportunity to work on various global projects using latest technologies and AI!

The 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 efficiencyWork 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 databasesStrong communication (fluent in spoken and written English) and collaboration skills to work effectively with teams worldwideUnderstanding of data warehousing concepts (ETL/ELT, STAR schema, snowflake schema), Kimball / Inmon methodology is a plusHands on experience with Python for use in data integration, data manipulation, data pipelines is a plusHands on experience with BI tools (e.g. Qlik, PowerBI) is a plusDegree in Computer Science, IT, or similar field; a Master’s degree is a plusData engineering certification (e.g. Databricks Certified Data Engineer) is a plus

What we offer: 

An environment that supports career development and fast progression  A collaborative and diverse team  The opportunity to join a team that works closely with countries across the world with possible travel opportunities.  Competitive salary  Medical care Employer contribution to the Third pillar pension system  Life Insurance 3 Sick days per year Additional vacation days Broad selection of soft and hard skills trainings and individual mentoring  Plus other benefits and lots of fun! 

Base gross monthly salary from 2 700 EUR, depending on experience + variable part 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.
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