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Posted 21 July, 2026

Data Analyst

Lynx Recruitment Ltd
London, ENG, GB Full Time

Job Description

Are you a forward-thinking Data Analyst passionate about building secure, scalable systems that drive financial innovation?The Role\n

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.

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

Essential:

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

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  • Experience with data visualisation tools (e.g. Power BI, Tableau)
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  • Familiarity with metadata management and governance tools (e.g. Purview, Collibra, Informatica)
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  • Exposure to AI/ML use cases in analytics
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  • Background in financial services or other regulated industries
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What’s on Offer\n
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  • Opportunity to work on large-scale, high-impact data transformation projects
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  • Exposure to modern data technologies and cloud platforms
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  • Clear career progression into architecture or leadership roles
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  • Collaborative and innovative working environment
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  • Ongoing learning, development, and certification support
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