LENOVO TECHNOLOGY B.V. sp. z o.o. ODDZIAŁ W POLSCE
ZdalniePraca z dowolnego miejsca
KontraktUmowa czasowa lub freelancing
Warszawa, Polska
Your responsibilities
BI Modernization & Dashboard Optimization: Support the migration, refactoring, and performance tuning of existing business dashboards and reporting tools in BI Tools.
Data Automation & Pipeline Support: Assist in streamlining daily analytical workflows, automating repetitive data extracts, and transitioning local datasets to cloud-based environments.
Code Refactoring & Maintenance: Review, clean up, and optimize existing analytical scripts, queries, and spreadsheet logic to improve data processing speed and reliability.
Ad-hoc Operational Analytics: Collaborate cross-functionally to prepare recurring and on-demand operational reports, performance trackings, and KPI scorecards.
AI-Assisted Workflows: Actively utilize AI-assisted tools to accelerate code debugging, data cleansing, and documentation of new and updated data models.
Process Documentation: Maintain clear, structured documentation for data pipelines, business logic definitions, and operational workflows.
Our requirements
Currently pursuing a Bachelor's or Master's degree in Economics, Finance, Mathematics, Data Science, or another quantitative/STEM-related field.
Strong analytical mindset with a solid foundation in quantitative coursework or data-driven academic projects.
Proficient in Microsoft Excel (advanced formulas, pivot tables, and clean spreadsheet design).
Fluent English communication skills (written and verbal) are essential.
Ability to map out workflows, document processes clearly, and propose simple optimizations.
High attention to detail, accuracy with numbers, and a structured approach to problem-solving.
Practical familiarity with AI tools to accelerate data cleaning, research, and drafting presentations.
Proactive attitude and willingness to support ad-hoc operational projects in a dynamic environment.
Hands-on experience or familiarity with Power BI / Qlik Sense is a strong plus.
What we offer
Flexible working hours easily adaptable to your university schedule.
Hybrid work model (modern office in Warsaw + remote flexibility).
Direct mentoring and hands-on experience with enterprise-scale analytics, cloud environments, and business processes.
Access to modern hardware, tools, and continuous learning opportunities.
An inclusive, international, and supportive team culture.