Data Analyst & Modeller

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.