Life & Pensions Data & AI Analyst – Hybrid Role

Deloitte (UK); Greater London; Hybride; GBP 55 000 - 90 000; Plein temps

Résumé du poste

Deloitte UK is seeking a Life & Pensions Business Data Analyst to help solve clients' data problems, focusing on stakeholder management, requirements gathering, and translating needs into practical solutions that support long-term objectives.

Based in London with hybrid working, you’ll engage with client stakeholders, define data transformations, apply data governance principles, and mentor junior analysts while delivering robust, scalable data solutions.

Qualifications

• Bachelor's degree (or equivalent) in Business Administration, Economics, Finance, Statistics or a related discipline.
• Professional experience in a client-facing environment, including substantial experience in a business analysis or data analysis role.
• Hands-on experience in the insurance sector, ideally within actuarial, regulatory reporting, or another finance-related area.
• Hands-on experience working in a project-based environment, with responsibility for owning and delivering defined outputs and a sound understanding of project delivery methodologies.
• Good understanding of data strategy, data governance and the core components of data solution.
• Proficiency with business analysis, diagramming and presentation tools (e.g. JIRA, Confluence, Visio, PowerPoint)

Responsabilités

• Serve as client-facing presence, building trusted advisor relationships and facilitate collaborative conversations with various client stakeholders.
• Build a detailed understanding of requirements across business stakeholder groups, recognising their nuances and complexity, navigating sensitivities effectively, and securing formal sign-off.
• Analyse, profile and reconcile client data using SQL to assess requirements and define transformations across actuarial and finance systems.
• Navigate organisational complexity and influence stakeholder groups, executive sponsors, IT leadership, and business owners to secure buy-in around a shared vision.
• Distil business conversations into clear delivery requirements, break down complex issues, and propose practical solutions.
• Rationalise and prioritise business requirements using techniques such as the MoSCoW method, while constructively challenging business thinking.
• Map and analyse current-state processes and design holistic future-state business processes.
• Apply data strategy frameworks to translate requirements into defined work packages covering areas such as data governance, regulatory standards, and platform integration.
• Bring solution concepts to life by developing practical use cases from business conversations.
• Coordinate multi-pod or multi-workstream engagements, ensuring a consistent client experience and confirming that the solution architecture meets the requirements of all relevant stakeholder groups.
• Enforce delivery standards across the pod, including sprint cadences, stakeholder communication plans, working groups and workshops, risk management, and project planning throughout the delivery lifecycle.
• Proactively manage client engagement during and after go-live, including defining the support model and planning an effective transition and roll-off.
• Mentor and develop junior business data analysts.
• Demonstrate a strong understanding of data strategy and data management.

Connaissances

Stakeholder management

Requirements gathering

SQL data profiling

Insurance domain knowledge

Data governance

Data analysis

Formation

Bachelor's degree in Business Administration, Economics, Finance, Statistics or related discipline

Outils

Jira

Confluence

Visio

PowerPoint

Excel

Power BI

Description du poste

Deloitte UK is seeking a Life & Pensions Business Data Analyst to help solve clients' data problems, focusing on stakeholder management, requirements gathering, and translating needs into practical solutions that support long-term objectives.

Based in London with hybrid working, you’ll engage with client stakeholders, define data transformations, apply data governance principles, and mentor junior analysts while delivering robust, scalable data solutions.