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