Capgemini
Senior Data Analyst (Exp into ETL, Azure AWS GCP)- London, UK - Fulltime Hybrid

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Senior Data Analyst (Exp into ETL, Azure AWS GCP)- London, UK - Fulltime Hybrid
Job Role: Sr.Data Analyst (Exp into ETL, Azure AWS GCP) Location: London, UK About the Job you are considering: We are seeking a highly skilled Data Analyst to support client Business Transformation Programme a largescale initiative modernising core systems processes and data architectureThis role will play a critical part in data migration data quality assurance and business analysis ensuring the accurate and efficient transition of legacy data into new strategic platforms The successful candidate will work closely with business stakeholders technical teams and third party vendors to deliver high quality compliant and insight driven data solutions within a large and complex financial environment Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: 1 Data Migration Data Management
Analyse and document source to target data mappings for complex migration activities Profile cleanse and validate large datasets from legacy systems Support ETL processes and transformation logic development Perform reconciliation between legacy and target systems to ensure data integrity and completeness Identify and resolve data quality issues anomalies and inconsistencies Contribute to data migration strategy sequencing and execution planning Support testing cycles including SIT UAT and migration dress rehearsals
2 Business Analysis
Elicit analyse and document business requirements related to data reporting and processes Translate business needs into functional data specifications and user stories Facilitate workshops with stakeholders across operations finance risk and IT Conduct gap analysis between current and target data models processes Support development of business data definitions data dictionaries and lineage documentation Assist in defining data governance frameworks and controls
3 Data Analysis Reporting
Analyse large datasets to generate actionable insights supporting decision making Develop dashboards and reports using tools such as Excel PowerPoint or similar Perform trend analysis and data validation for financial products eg savings bonds Ensure compliance with financial reporting standards and regulatory requirement Support audit and compliance requests with accurate data extracts and documentation
4 Stakeholder Programme Support
Collaborate with cross functional teams including architects developers testers and business SMEs Act as a bridge between business and technical teams ensuring clear communication Provide data expertise to support programme governance and decision making Contribute to risk identification and mitigation related to data migration and integrity
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your Skills: Essential Skills
Strong experience in data analysis within large financial services organisations Proven track record in data migration programmes legacy to target systems Excellent knowledge of SQL for querying and analysing large datasets Experience with data profiling cleansing and reconciliation techniques Strong business analysis skills requirements gathering documentation stakeholder engagement Understanding of data modelling concepts logical and physical models Experience with ETL tools or data integration processes Proficiency in Excel advanced and industry standard analytics tools Familiarity with data governance data quality frameworks and controls
Desirable Skills
Experience working on core banking or savings platforms eg NSI products Knowledge of regulatory frameworks eg FCA PRA GDPR Experience with cloud data platforms Azure AWS GCP Exposure to Agile Scrum delivery methodologies Experience with metadata management and data lineage tools Data EDO
Personal Attributes
Strong analytical and problem solving capabilities High attention to detail and data accuracy Excellent communication and stakeholder management skills Ability to work effectively in a fast paced transformation environment Proactive mindset with the ability to manage competing priorities.
We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process.
Make It Real (what does it mean for you):
You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.


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Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real. | www.capgemini.comJob Description Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards.Job Description - Grade Specific The role combines leadership, technical expertise, and project management skills to ensure the successful delivery of data analysis projects and the development of a high performing data analyst team. They play a critical role in leveraging data to drive business growth, optimize processes, and enable informed decision making across the organization.
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