Data Analyst

O projekcie: At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  As an AI Governance & Data Strategy Analyst, you will play a critical role in supporting the AI for Tech Data workstream, ensuring that AI solutions adhere to robust data standards and governance frameworks. You will design and implement processes, deliver proof-of-concept initiatives, and establish oversight mechanisms for data-related AI use cases across the organization. Sounds like your kind of challenge?  What you get in return - Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.) - Hybrid work setup – 2 days onsite per week - Collaborative team culture – work alongside experienced professionals eager to share knowledge  - Continuous development – access to training platforms and growth opportunities  - Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more  - High quality equipment – laptop and essential software provided Wymagania: - Strong analytical and problem-structuring skills with experience in process design, governance, or delivery within a technology or data environment. - Working knowledge of data management concepts, including: - Data standards, metadata, and lineage. - Data quality and access controls. - Ability to create clear artefacts such as workflows, RACIs, templates, and actionable MI using Excel, Power BI, and/or Jira/Confluence reporting. - Confident in stakeholder management across Data Governance, Architecture, Engineering, and Risk/Control functions. - Practical mindset that balances innovation and control with delivery pace. - Familiarity with AI/ML delivery methods and experience with reusable pattern libraries is highly beneficial. Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference. Codzienne zadania: - Control points and evidence requirements. - Exception handling workflows. - MI (Management Information) and reporting procedures. - Identifying existing reusable data patterns. - Defining a simple taxonomy and publishing template. - Curating an initial set of patterns and coordinating demos to drive adoption. - Use case status, data owners, datasets, overlaps, and dependencies. - Dashboards for governance cadence and decision-making.