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

Capgemini
London, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Amazon Web Services Data Analysis Microsoft Azure Big Data Data Architecture Data Validation Data Dictionary Data Governance Data Integration Data Integrity Extract Transform Load (ETL)
+12 more
Data Migration Data Profiling Data Systems Meta-Data Management Microsoft PowerPoint Scrum Methodology Cloud Services Standard Sql Data Lineage Data Management Tools for Reporting Legacy Systems

Job description

We are seeking a highly skilled Data Analyst to support client Business Transformation Programme a largescale initiative modernising core systems processes and data architecture This 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, 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.

Requirements

  • 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
  • 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

About the company

  • 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. *

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.com

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