Data Analyst with Business Analysis skills

The Data Analyst will play a crucial role in data-related projects by leveraging strong technical skills and business analysis capabilities to support initiatives, ensuring effective collaboration between technology and business teams.

Main Responsibilities:

• Analyse complex data sets to identify trends, patterns, and insights.
• Write and understand complex SQL queries.
• Conduct data validation and ensure data quality and integrity.
• Define data quality checks.
• Collaborate with technology and business teams to review initiatives and assess impact.
• Document user process flows, constraints, logic, contexts, and scenarios.
• Profile new and existing data sources (structure, content, quality, readiness).
• Conduct detailed data investigations (lineage, anomalies, inconsistencies).
• Define and test data quality checks for datasets.
• Collaborate with Data Engineering and domain SMEs to document datasets, tables, fields, and definitions.
• Perform metadata assessments (definitions, lineage, classifications).
• Define and maintain business and technical metadata (e.g., glossary, KPIs, data types, source systems).
• Support metadata enrichment through investigation and collaboration.
• Contribute to the data catalogue across internal and external sources.
• Contribute to logical and physical data models (including curated layers, semantic models, and gold data products).
• Recommend improvements to data schema design (performance, standardisation, usability).
• Provide ad-hoc analysis for discovery initiatives, migrations, and governance projects.
• Support the Product Manager in delivering product outcomes.
• Support business teams during UAT and post-production with data analysis and queries.
• Support the Engineering team in design based on data understanding.
  
  

Key Requirements:

• Experience in the retail industry.
• Strong data analysis skills.
• Proficiency in SQL.
• Experience with data validation.
• Knowledge of data quality processes.
  
  

Nice to Have:

• Experience with metadata management.
• Familiarity with data modelling techniques.
• Understanding of data governance practices.
  
  

Other Details:

• Location: Kraków
• Working Model: Hybrid (3 days a week in the office)
• Rate up to 160 PLN/h net + VAT