Data is a critical strategic driver for our Investments line of business. We are seeking an experienced Business Analyst to support the delivery of our Data Strategy for WTW Investments Line of Business, helping to shape, prioritise, and deliver data‑enabled capabilities that support better investment decision‑making and business outcomes. This role sits at the intersection of business, data, and technology. You will work closely with stakeholders across Investments, Data, and Technology to lead discovery, clarify objectives, define requirements, and help shape practical, value‑led solutions in an environment characterised by complexity and ambiguity.
You’ll operate in a fast-paced, evolving environment—leading discovery, clarifying complex requirements, and translating them into practical, value-driven solutions.
At WTW Investments, we invest today to transform tomorrows. Our mission is to build long-term wealth by delivering the breakthroughs that matter—for individuals, institutions, and society. We offer a broad range of investment services including advisory, fiduciary management, and wealth solutions—helping clients shape their investment beliefs, construct portfolios, and deliver better financial outcomes. For more information on our Investment line of business please visit:
This is an 18-month Fixed-Term Contract role offering a flexible hybrid working model, with 2 days per week in the office.
Key Responsibilities
1. Stakeholder Engagement, Communication & Influence Engage with a diverse range of stakeholders across Investments, Data, and Technology, acting as a trusted intermediary. Facilitate effective discussions and workshops, surface assumptions, and manage differing priorities. Communicate complex data concepts clearly and appropriately for different audiences, supporting informed decision making.
2. Data Led Discovery & Requirements Lead structured discovery to understand business goals, investment decision making needs, and associated data requirements. Apply appropriate elicitation techniques (. interviews, workshops, process analysis) to capture and validate requirements. Produce clear, usable artefacts to support strategy and solution design (. business processes, data flows, user stories, acceptance criteria).
3. Problem Solving, Feasibility & Solution Shaping Work effectively with ambiguity and ill-defined problems, helping to define the problem space before considering solutions. Explore and assess options, considering business value, data readiness, technical feasibility, and delivery constraints. Collaborate with stakeholders to shape pragmatic solutions that balance strategic ambition with practical delivery.
4. Agile & Incremental Delivery Support Agile and iterative delivery approaches within data focused initiatives. Structure work into meaningful increments aligned to business value. Work with delivery teams to refine backlogs and support successful execution through to implementation and testing.
5. Domain Knowledge & Business Context (Investment) Apply strong investment domain knowledge to quickly understand context, ask insightful questions, and ensure data initiatives align to investment processes and outcomes. Use domain understanding to support prioritisation, trade off discussions, and value definition.