Senior Data Business Analyst

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years we have a long history of innovation in savings and investments combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments Asset Management and Life work together to provide access to balanced long-term investment and savings solutions.

Through telling it like it is owning it now and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

M&G is making material investments in its digital and data capabilities to improve customer experience streamline processes improve controls and embed data in the way we operate.

We are ramping up a Group-wide data transformation programme to drive material improvements in complex cross-functional processes operating across Asset Management Life Insurance and Finance through better access to data. The programme aims to implement high-impact data-driven use cases in subsequent time-boxed waves.

Youll be the bridge between what the business needs and what technology delivers. This is a hybrid role part business analyst part data specialist where youll need to roll up your sleeves and analyse source systems directly not just document what stakeholders tell you. Youll translate complex data requirements into actionable specifications challenge requirements that are unfeasible or technically costly and ensure data definitions align consistently across business groups.

This role is about building permanent in-house expertise. The initial focus will be a strategic Real Estate data product.

• Lead complex data analysis to validate business requirements interrogating source systems directly rather than relying solely on stakeholder interviews
• Work with business stakeholders across Asset Management Life Insurance and Finance to elicit identify and document and translate business requirements into functional and non functional data requirements ensuring definitions align across business groups
• Understand and map ETL processes assessing upstream and downstream data flows dependencies and interdependencies within the enterprise data architecture
• Write technical IT change narratives that translate business needs into specifications technology teams can build against with full traceability.
• Interrogate and sense-check requirements from a sustainable data perspective challenging and providing options to the business when requirements are unfeasible or technically costly
• Interface closely with Data Engineering teams to ensure requirements are accurately converted into built data products
• Lead data quality assessments and support the development of data-driven improvement strategies supporting Data Governance & Data Management Colleagues

• Proven expertise combining business analysis with hands-on data skills you can analyse source systems not just facilitate workshops
• Strong understanding of Enterprise Data Platforms semantic models and dimensional modelling (star schemas fact/dimension tables)
• Experience with data architecture principles ETL processes and data pipeline concepts
• Proficiency in SQL for data validation and analysis; familiarity with data visualisation tools and cloud-based data platforms
• Track record translating complex data requirements into technical specifications in financial services
• Ability to translate technical data concepts into business-friendly language for diverse stakeholders up to senior leadership level

• Analytically rigorous you dig into the detail and validate what youre told rather than taking requirements at face value
• Constructively challenging you push back when requirements dont make sense from a data perspective while maintaining productive relationships
• Strong communicator who bridges business and technology teams translating in both directions
• Pragmatic problem-solver who balances ideal data solutions with delivery constraints
• Collaborative across boundaries works effectively with Data Engineering business SMEs and senior stakeholders

Work Level: Manager / Expert

Close Date: 24th December 2025

Recruiter:
Matt Campbell

• As a savings and Investments firm we are proud to offer a valuable pension scheme of 18%
  with 13% made up of Employer Contributions and 5% Employee Contributions
  .We also offer Share Save and our Share Incentive Plan together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.

• Enjoy 38 days annual leave including bank holidays with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy to balance your work and personal…