We believe you have:

• Solid experience working with data analysis and large datasets
• Experience from modern data platforms, preferably AWS
• Good understanding of data modelling and Data Warehousing
• Ability to turn business needs into practical data solutions
• Experience working in agile teams

It is a plus if you also have:

• Experience with AWS tools such as S3, Glue, Athena or Redshift
• Understanding of data pipelines and data engineering practices
• Experience from banking or financial services

Responsibilities

• Analyse and validate data to ensure accuracy and quality
• Translate business needs into clear data definitions and requirements
• Work closely with stakeholders to understand how data is used and what is needed
• Identify and resolve data quality issues, including root cause analysis
• Support Data Engineers with data insights, clar...