Senior Data Quality Management Analyst (Tech Business Analyst)

Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, it employs around 150 professionals delivering a full range of services including specialist and executive recruitment, employee outsourcing, HR consulting, employer branding, and market research. The company operates with a division-based structure combining deep industry expertise with functional specialisation, providing tailored solutions for companies in every sector.

• 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 clearly and concisely.
• 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.

• 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.