At a Glance
- Tasks: Lead complex data analysis and bridge business needs with technology delivery.
- Company: M&G plc, a heritage company with over 175 years of innovation in savings and investments.
- Benefits: Flexible working arrangements, workplace adjustments, and a focus on employee wellbeing.
- Other info: Join a dynamic team with opportunities for professional growth and development.
- Why this job: Make a real impact by shaping sustainable data outcomes in a collaborative environment.
- Qualifications: Proven expertise in business and data analysis, with strong SQL skills.
The predicted salary is between 57036 - 69710 £ per year.
At M&G, 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 offer workplace adjustments to ensure you have the support you need to succeed in your role.
This senior role supports data delivery and transformation activity across business and technology teams.
The role acts as a bridge between business needs and technology delivery, combining business analysis, data analysis and hands‑on source‑system investigation to shape practical, traceable and sustainable data outcomes.
The role holder will lead complex data analysis, challenge requirements constructively and help stakeholders align on data definitions, priorities and strategic data initiatives.
They will work closely with business SMEs, Product Owners, Data Owners, data engineering teams and senior stakeholders to make sure requirements are clear, validated and ready to build.
This role is well suited to someone who can bring structure to complex data problems, communicate clearly across technical and non‑technical audiences, and use judgement to balance business value, delivery constraints, data quality, cost and risk.
- Main Responsibilities
- Lead the documentation and cataloguing of data requirements for existing and redesigned business processes.
- Lead complex data analysis to validate business requirements, including direct investigation of source systems.
- Translate data requirements into measurable business outcomes that support improved decision‑making and operational efficiency.
- Assess and document upstream and downstream data flows, dependencies and interdependencies within the enterprise data architecture.
- Produce clear technical change specifications, User Stories and narratives that technology teams can build against, with end‑to‑end traceability.
- Interrogate and sense‑check requirements from a sustainable data perspective.
- Challenge constructively and provide alternative options where requirements are unfeasible or technically costly.
- Work closely with data engineering teams to make sure requirements are accurately converted into built data products.
- Influence senior stakeholders to align on data definitions, priorities and strategic data initiatives.
- Lead data quality assessments and support the development of data‑driven improvement strategies.
- Apply data governance in line with enterprise data governance frameworks.
- Build strong working relationships across business SMEs, data engineering teams and senior stakeholders.
- Key Knowledge, Skills and Experience
- Proven expertise combining business analysis, data analysis and data cataloguing.
- Ability to identify, document and validate complex data requirements.
- Ability to analyse source systems and data, validating information rather than relying only on stakeholder input.
- Proven expertise in Agile methodologies, writing good user stories in agile teams including validated definition of done / acceptance criteria.
- Proficient use of enterprise data platforms, semantic models and dimensional modelling.
- Working knowledge of star schemas, fact tables and dimension tables.
- Proficient understanding of data architecture principles, ETL processes and data pipeline concepts.
- Track record of data modelling, data architecture and use of data cataloguing tools.
- Proficiency in SQL for data validation and analysis.
- Familiarity with data visualisation tools and cloud based data platforms.
- Familiarity with Snowflake, Azure, Databricks and Power BI.
- Track record of translating complex data requirements into technical specifications in financial services and/or Life operations.
- Ability to translate technical data concepts into business friendly language for stakeholders up to senior leadership level.
- Strong experience working in financial services, with exposure to the Life industry and a plc environment an advantage.
- Suggested Essential Skills
- Complex data requirements analysis
- Source‑system investigation
- Data quality assessment
- Data governance application
- Technical specification writing
- End‑to‑end requirements traceability
- Data modelling and data architecture
- Data cataloguing
- SQL for validation and analysis
- Cloud based data platform awareness
- Senior stakeholder engagement
- Constructive challenge and influencing
- Practical problem solving
- Collaboration across business, data and technology teams
What we offer
We're dedicated to supporting your wellbeing and helping you thrive, both at work and beyon
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Senior Business Data Analyst - M&G plc. in London employer: eFinancialCareers
Quilter plc is an exceptional employer, offering a dynamic work environment in Southampton where innovation and collaboration thrive. With a strong commitment to employee growth, comprehensive benefits including a generous holiday allowance and a non-contributory pension scheme, Quilter fosters a culture of inclusivity and continuous improvement, empowering employees to make meaningful contributions to the financial futures of their clients and communities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Data Analyst - M&G plc. in London
✨Get to Grips with Data Visualisation Tools
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We think you need these skills to ace Senior Business Data Analyst - M&G plc. in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at eFinancialCareers, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
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How to prepare for a job interview at eFinancialCareers
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with eFinancialCareers’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
