At a Glance
- Tasks: Lead data migration and transformation projects in a dynamic Capital Markets environment.
- Company: Join Deloitte, a global leader in consulting and professional services.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Engage with stakeholders and thrive in a fast-paced, innovative setting.
- Why this job: Make a real impact by ensuring data integrity and collaborating with diverse teams.
- Qualifications: Strong analytical skills and experience in data management or finance.
The predicted salary is between 45000 - 55000 £ per year.
Deloitte is leading a data migration and front-office transformation programme in the Capital Markets division.
The role focuses on data migration, transformation and reconciliation across complex platforms, working with Front Office, Operations, Finance and Technology teams.
The candidate will validate mappings, quality rules and migration tests, while ensuring data integrity and business acceptance.
Hybrid London or Belfast with strong stakeholder engagement is offered.
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Data Migration & Front Office Transformation Analyst employer: Deloitte - Recruitment
Deloitte is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. As a Google Cloud Programme Manager, you will benefit from extensive employee growth opportunities, including access to cutting-edge training and development resources, while working alongside industry leaders on impactful projects. The company's commitment to diversity and inclusion ensures a supportive environment where every team member can thrive and contribute meaningfully to our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration & Front Office Transformation Analyst
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We think you need these skills to ace Data Migration & Front Office Transformation Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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