Data Analyst

B2B
Hybrydowa
nr ref: 119/2/2026/KG/94358
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Data Analyst (K/M)

 

  • Hybrid working model (2 days per week in the Kraków office).

  • B2B 

 

We’re looking for a Data Analyst who can bridge the gap between business needs and technical solutions. This role requires someone naturally curious, comfortable exploring data, and skilled at breaking down complex concepts into clear, actionable insights that drive strategic decisions.


Key Responsibilities
• Serve as a liaison between business stakeholders and technical teams, ensuring requirements are clearly understood and effectively delivered.
• Analyze business processes, datasets, and systems to identify trends, inefficiencies, and opportunities for improvement.
• Lead or support development of automated data lineage solutions to improve visibility, governance, and traceability across data pipelines.
• Apply generative AI and other advanced analytics methods to automate workflows, extract insights, and enhance decision-making.
• Gather, validate, and document business and data requirements for new projects and enhancements.
• Translate high-level technical designs, data concepts, and analytical outputs into business-friendly language.
• Investigate data quality issues, perform root cause analysis, and collaborate with technical teams on corrective actions.
• Build dashboards, reports, and visualizations that help stakeholders understand performance and support informed decisions.
•Continuously exploring data sources, products, and tools with an inquisitive mindset to uncover new value opportunities.


Key Skills and Qualifications for this role
• Solid and relevant experience in a similar role,
• Knowledge of BCBS239 is desirable,
• Master’s degree preferred,
• Ability to comprehend complex data architecture,
• Strong organizational, analytical, and problem-solving skills,
• Multitasking ability and the capacity to work under pressure within tight timelines are essential,
• Open personality with effective communication skills and the flexibility to work in an international team,
• Knowledge of data management tools like Collibra, Atlas, QlikSense is a plus.

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