Antal

Senior Data Quality Management Analyst (Tech Business Analyst)

120 - 150 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·KrakówFull-time·B2B

#380053·Dodano 4 miesiące temu·3

Źródło: Antal

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Tech Stack / Keywords

CloudAIGoogle Cloud PlatformProfilingBigQueryLookerPython GenAI

Firma i stanowisko

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.

Wymagania

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.

Obowiązki

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.

Benefity

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.

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Antal

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