Business Data Analyst
iXceed Solutions•Kraków
Oferta dotyczy stanowiska Business Data Analyst skupionego na zarządzaniu jakością danych, profilowaniu źródeł oraz tworzeniu dokumentacji technicznej i biznesowej. Rola wymaga zaawansowanej znajomości SQL oraz umiejętności mapowania procesów, co sugeruje pracę w środowisku typu data governance lub analityki operacyjnej. Brak informacji o firmie, modelu pracy oraz widełkach płacowych utrudnia precyzyjną ocenę atrakcyjności oferty. Profil stanowiska wskazuje na dużą odpowiedzialność za integralność danych w złożonych systemach informatycznych. Ze względu na brak transparentności finansowej, kandydat powinien przygotować się na negocjacje w oparciu o rynkowe standardy dla Krakowa.
📝 Opis główny / Wstęp
Core Data Skills
• Experience in analysing complex data sets to identify trends, patterns, and insights.
• High proficiency in writing and understanding complex SQL
• Conducting data validation and ensuring data quality and integrity.
• Defining data quality checks
Data Discovery, Quality & Source Understanding
• Collaboration with other technology and business teams to review relevant initiatives and assess the impact to the team.
• Documentation of user process flows, constraints, logic, contexts and scenarios to ensure knowledge is built and retained
• Profile new and existing data sources to assess structure, content, quality, and readiness for consumption.
• Conduct detailed data investigations to uncover lineage, anomalies, and inconsistencies.
• Data quality check definitions and testing validation of datasets
Metadata Quality & Enhancement
• Collaborate with Data Engineering and Domain SMEs to document key data sets, tables, fields, and definitions.
• Perform metadata assessments to identify gaps in definitions, lineage, and classifications.
• Define and maintain business metadata (e.g., glossary terms, KPIs, categorizations) and technical metadata (e.g., data types, source systems).
• Support the enrichment of metadata via manual investigation and collaboration across teams.
• Contribute to data catalogue across external and internal sources
Data Modelling & Structure
• Contribute to the development and maintenance of logical and physical data models, especially for curated data layers (e.g., semantic models and gold data products).
• Recommend improvements to data schema design for analytical performance, standardization, and ease of use.
• Provide ad-hoc analysis to support discovery-led initiatives, data migrations, or governance projects.
Other responsibilities
• Support the Product Manager by actively contributing to the delivery of the outcomes set for the product area.
• Support business teams during the UAT phase and post-production with any business queries or data analysis.
• Support Engineering team in design based on the understanding of the data.