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