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Data Analyst / Data Modeller – Banking - £415 per day (umbrella rate)
Contract Duration: 6-12 months
Location: Glasgow (2 days a week), other days Remote (UK)
Atrium EMEA is supporting a large managed service provider, looking for an experienced Data Analyst / Data Modeller with a strong Banking or Financial Services background to join a key enterprise data programme.
You'll be responsible for designing and maintaining conceptual, logical, and physical data models, supporting regulatory reporting, risk management, data governance, and business intelligence initiatives. Working closely with business and technology stakeholders, you'll translate complex requirements into scalable, high-quality data solutions.
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Required Skills & Experience
Essential
- Proven experience creating conceptual, logical, and physical data models in complex enterprise environments.
- Strong background working within Banking or Financial Services organisations.
- Hands-on experience with data modelling tools such as ERwin, ER/Studio, PowerDesigner, Sparx EA, or similar.
- Strong understanding of data architecture principles and data management best practices.
- Experience analysing large and complex datasets to support business and regulatory requirements.
- Knowledge of relational database design and SQL.
- Experience working with data warehouses, data lakes, and modern data platforms.
- Excellent stakeholder management and communication skills.
- Ability to gather, document, and translate business requirements into data solutions.
- Experience working within Agile and/or Waterfall delivery environments.
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Desirable
- Knowledge of banking domains such as Retail Banking, Corporate Banking, Risk, Regulatory Reporting, Financial Crime, or Payments.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Understanding of data governance frameworks, BCBS239, GDPR, and other regulatory requirements.
- Familiarity with data lineage, metadata management, and master data management (MDM).
- Exposure to BI and reporting tools such as Power BI, Tableau, or Qlik.
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