Data Analyst & Modeller - Financial Services
Location: Glasgow / Hybrid
Contract: Until 31st December 2026
Rate: £460.00 p/d
Join to apply for the Data Analyst - CGEMJP00317085 role at Experis UK
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.
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.
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.
