Data Analyst - CGEMJP

Data Analyst & Modeller - Financial Services

Location: Glasgow / Hybrid

Contract: Until 31st December 2026

Rate: £460.00 p/d

Our client, a leading organisation within the financial services sector, is seeking a highly skilled Data Analyst & Modeller to support discovery and analysis activities within their ongoing data transformation programme.

This role requires a seasoned data professional with deep expertise in data process evaluation, lineage tracing, usage analysis, and Teradata SQL interrogation. You will play a key role in ensuring data integrity, consistency, and quality across complex financial data environments, contributing to initiatives that underpin strategic decision-making and regulatory compliance.

Key Responsibilities

• Conduct detailed discovery analysis to assess existing data processes, structures, and flows.
• Perform data lineage and usage analysis to support mapping, design, and transformation activities.
• Interrogate large datasets using Teradata SQL and BTEQ scripts to uncover insights and validate data assumptions.
• Partner with business and technology stakeholders to translate data requirements into actionable and accurate models.
• Document data findings, lineage, and dependencies with precision and clarity.
• Support the design and implementation of data models aligned with both business objectives and regulatory expectations.
• Identify and resolve data quality issues, ensuring data consistency across systems and reporting layers.

Required Skills & Qualifications

• Proven hands-on experience with Teradata SQL and BTEQ interrogation in large-scale environments.
• Strong understanding of data lineage, mapping, and process evaluation.
• Ability to interpret and communicate complex data relationships clearly and concisely.
• Demonstrated critical thinking and problem-solving ability in data design and architecture.
• Experience working in financial services or similarly regulated industries.
• Excellent documentation, analysis, and stakeholder communication skills.

Preferred Qualifications

• Familiarity with data governance frameworks and metadata management tools.
• Exposure to regulatory reporting data environments (e.g. BCBS 239, IFRS 9, Basel).
• Knowledge of other data platforms such as Snowflake, Oracle, or BigQuery.

This is an outstanding opportunity to contribute to a high-profile transformation programme within a major financial institution. The successful candidate will bring technical rigour, analytical precision, and a commitment to data excellence.