Senior Data Quality Management Analyst (Tech Business Analyst)

• Minimum 5 years of experience in data-related roles such as Technical Business Analyst, Data Analyst, Data Management or Data Modelling.
• Hands-on experience with Google Cloud Platform services, particularly BigQuery, Cloud Storage and Looker Studio (formerly Data Studio), or equivalent cloud platforms.
• Strong analytical skills with the ability to interpret large and complex datasets.
• Experience in defining, implementing and monitoring data quality rules and controls.
• Understanding of cloud technologies and experience delivering cloud-based data solutions.
• Excellent communication skills with the ability to explain complex technical topics in a clear and concise way.
• Strong stakeholder management and collaboration skills across cross-functional teams.
• Proactive mindset with strong problem-solving and analytical capabilities.
• Openness to learning new technologies and working in an innovative environment.

Nice to have

• Experience with Python for ad-hoc analysis and automation.
• Familiarity with GenAI solutions applied to data analysis or data quality.
• Knowledge of data governance and enterprise data management frameworks.
• Experience working in large-scale financial services or enterprise environments.
• Understanding of data quality tooling and metadata management solutions.

Location: Kraków, hybrid model: 2 days from the office per week

Industry: banking

We are currently looking for a Senior Data Quality Management Analyst (Tech Business Analyst) to join a strategic Data Quality initiative within the banking sector. The role focuses on improving data quality across critical enterprise systems by leveraging cloud technologies, automation, advanced analytics and AI-driven capabilities.

You will work within international data and technology teams responsible for developing innovative data quality solutions that support strategic data platforms, enabling reliable, trusted and high-quality data across the organization.

The position combines business analysis, data quality management, cloud technologies, data analytics and automation, with a strong focus on innovation, problem-solving and collaboration with both technical and business stakeholders.

What we offer

• Collaboration with experienced international data and technology teams.
• Long-term cooperation within a stable enterprise-scale banking environment.
• Exposure to modern cloud technologies, AI and advanced analytics.
• Private healthcare package.
• Multisport card.

,[Collaborate with data owners, data engineers and business stakeholders to define data quality requirements and standards., Develop, automate and maintain data quality rules using Google Cloud Platform services., Investigate data quality issues, identify root causes and drive remediation activities., Perform ad-hoc data analysis, impact assessments and data profiling to identify trends, anomalies and improvement opportunities., Analyse complex datasets to uncover patterns and proactively identify potential risks., Drive assigned initiatives and projects, facilitating discussions and monitoring delivery progress., Communicate data quality findings, recommendations and insights to both technical and non-technical stakeholders., Support continuous improvement of data quality processes, governance and automation initiatives., Utilize modern cloud and AI-enabled tools to improve the efficiency of data quality management., Contribute to the evolution of enterprise data quality practices and standards.] Requirements: Business Analyst, Google cloud platform, BigQuery, Cloud, Storage, Looker Studio, Data Studio, Cloud platform, Analytical skills, Python