Data Analyst

Lynx Recruitment
London, United Kingdom
Today
£40,000 – £65,000 pa

Salary

£40,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

Clear career progression Collaborative and innovative working environment Ongoing learning, development, and certification support
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Are you a forward-thinking Data Analyst passionate about building secure, scalable systems that drive financial innovation?
The Role

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
Skills & Experience

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
What’s on Offer
  • Opportunity to work on large-scale, high-impact data transformation projects
  • Exposure to modern data technologies and cloud platforms
  • Clear career progression into architecture or leadership roles
  • Collaborative and innovative working environment
  • Ongoing learning, development, and certification support

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