Data Analyst, Financial Services — Hybrid London

SR2 REC LTD; Greater London; Hybrid; GBP 88,000 - 92,000; Part time

Job summary

SR2 REC LTD is seeking a Data Analyst for a contract role in financial services. The role focuses on analyzing large-scale, multi-source financial datasets, identifying trends and anomalies, investigating data quality issues, and producing actionable insights to support business decision-making.

The candidate will work with holdings, transactions, legal entity and regulatory reporting data, collaborating with stakeholders and presenting findings to both technical and non-technical audiences.

Qualifications

• 3+ years' experience in SQL-based data analysis across complex datasets.
• Strong SQL skills.
• Experience using Tableau or Power BI.
• Experience with AWS services (S3, Athena, DynamoDB).

Responsibilities

• Analysing complex, high-volume datasets from multiple sources.
• Using SQL to interrogate data and generate actionable insights.
• Developing integrated views of firms and entities across multiple data sources.
• Identifying trends, concentrations, anomalies and data quality issues.
• Performing data validation, reconciliation and quality assessments.
• Working with stakeholders to understand analytical requirements and gather feedback.
• Clearly communicating analytical findings to technical and non-technical stakeholders.

Skills

SQL

Tableau/Power BI

AWS services

Data validation

Data reconciliation

Stakeholder management

Communication

Tools

Tableau

Power BI

AWS (S3, Athena, DynamoDB)

Job description

SR2 REC LTD is seeking a Data Analyst for a contract role in financial services. The role focuses on analyzing large-scale, multi-source financial datasets, identifying trends and anomalies, investigating data quality issues, and producing actionable insights to support business decision-making.

The candidate will work with holdings, transactions, legal entity and regulatory reporting data, collaborating with stakeholders and presenting findings to both technical and non-technical audiences.