AWS Data Analyst – Banking & Regulatory Reporting (Hybrid)

AWS Data Analyst – Banking & Regulatory Reporting (Hybrid)

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Gazelle Global

At a Glance

  • Tasks: Analyse large datasets and ensure data quality on AWS for banking transformation.
  • Company: Gazelle Global, a leader in banking transformation projects.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with diverse stakeholders and exciting challenges.
  • Why this job: Join a major banking transformation and make a real impact with your data skills.
  • Qualifications: Experience in AWS data engineering and knowledge of banking regulations required.

The predicted salary is between 50000 - 70000 Β£ per year.

Gazelle Global is seeking an experienced AWS Data Engineer / Data Analyst to join a major banking transformation programme in London or Edinburgh.

The role focuses on data engineering on AWS, large dataset analysis, data mapping, lineage, reconciliation, and data quality.

You will translate business requirements into technical specs, support UAT and testing, and collaborate with stakeholders across Business and Technology.

Banking experience and knowledge of regulatory reporting are essential.

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AWS Data Analyst – Banking & Regulatory Reporting (Hybrid) employer: Gazelle Global

Join a leading organisation at the forefront of cyber security transformation in London, where you will play a pivotal role in delivering critical initiatives. Our collaborative work culture fosters innovation and growth, offering ample opportunities for professional development and advancement within a dynamic environment. With competitive rates and a commitment to employee well-being, we ensure that our team members thrive both personally and professionally.

Gazelle Global

Contact Details:

Gazelle Global Recruitment Team

We think you need these skills to ace AWS Data Analyst – Banking & Regulatory Reporting (Hybrid)

Communication Skills
SQL
Problem-Solving Skills
Python
Data Pipeline Development
Automation
Attention to Detail