Data Analyst

You’ll play a key role in shaping how data is used within a fast-paced financial environment - designing solutions that meet regulatory requirements while enabling smarter business decisions.

Working across the full data lifecycle, you’ll analyse complex datasets and contribute to designing enterprise-level data solutions that support transformation and growth. Key Responsibilities

• Analyse and model structured and unstructured data using logical and physical modelling techniques
• Design scalable data architectures, including data flows and ETL processes
• Support modern, cloud-based data platforms and solutions
• Ensure data quality, governance, lineage, and compliance with regulations (e.g. GDPR)
• Translate business requirements into data-driven solutions
• Collaborate with cross-functional stakeholders to deliver impactful outcomes
• Contribute to advanced analytics initiatives such as predictive modelling and fraud detection

Essential:

• Strong experience in data analysis, profiling, and data mapping
• Proficiency in SQL and/or Python
• Solid understanding of data modelling, normalization, and performance optimisation
• Experience with data governance, security, and regulatory compliance
• Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake)
• Ability to communicate technical concepts clearly to non-technical stakeholders

Desirable:

• Experience with data visualisation tools (e.g. Power BI, Tableau)
• Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica)
• Exposure to AI/ML use cases in analytics
• Background in financial services or other regulated industries