Data Analyst

Data Analyst/Data Modeller (Banking) - £410 per day (umbrella rate)

Location: Glasgow onsite (2days a week); Remote other days

Role Overview Atrium (EMEA) are supporting a large managed are seeking an experienced Data Analyst/Data Modeller with a strong background in the banking sector. The successful candidate will play a key role in designing, developing, and maintaining conceptual, logical, and physical data models that support enterprise data initiatives, regulatory reporting, risk management, and Business Intelligence requirements.

The ideal candidate will possess excellent data analysis skills, extensive experience in data modelling methodologies, and the ability to collaborate with business and technology stakeholders to translate complex business requirements into robust data structures.

Key Responsibilities

• Create, maintain, and govern conceptual, logical, and physical data models across enterprise banking platforms.
• Analyse business requirements and translate them into scalable, high-quality data models and data solutions.
• Partner with business stakeholders, data architects, developers, and project teams to define data requirements and standards.
• Design and document data entities, relationships, attributes, business rules, and data lineage.
• Ensure data models align with enterprise architecture, data governance frameworks, and regulatory requirements.
• Support data integration initiatives, data warehousing projects, and cloud-based data platforms.
• Conduct impact analysis for system enhancements, data migrations, and transformation programmes.
• Drive data quality improvements through effective modelling and data governance practices.
• Produce and maintain comprehensive data dictionaries, metadata repositories, and model documentation.
• Collaborate with technology teams to optimise database structures and improve data accessibility and performance.

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.

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.

Atrium (EMEA) are supporting a large managed are seeking an experienced Data Analyst/Data Modeller with a strong background in the banking sector. The successful candidate will play a key role in designing, developing, and maintaining conceptual, logical, and physical data models that support enterprise data initiatives, regulatory reporting, risk management, and Business Intelligence requirements.

The ideal candidate will possess excellent data analysis skills, extensive experience in data modelling methodologies, and the ability to collaborate with business and technology stakeholders to translate complex business requirements into robust data structures., 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.

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.