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# Data Analyst

- **Company:** Lynx Recruitment Limited
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Profiling, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Systems, Data Warehousing, Fraud Prevention and Detection, Python (Programming Language), Meta-Data Management, Performance Tuning, Power BI, SQL Databases, Data Streaming, Tableau (Software), Unstructured Data, Google Cloud, Cloud Platform System, Snowflake, Collibra
- **Published:** July 7, 2026
- **Apply:** https://www.totaljobs.com/job/data-analyst/lynx-recruitment-limited-job107649650

## About the Role

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

## Description

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


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