At a Glance
- Tasks: Support data strategy delivery for better investment decision-making and business outcomes.
- Company: WTW Investments, a leader in investment services with a focus on innovation.
- Benefits: 25 days annual leave, private healthcare, hybrid working, and a range of perks.
- Other info: Flexible hybrid model with opportunities for professional growth and community impact.
- Why this job: Shape impactful data solutions in a fast-paced, evolving environment.
- Qualifications: Experience as a Business Analyst in financial services and strong data engagement skills.
The predicted salary is between 50000 - 60000 £ per year.
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.
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- 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.
- Data Led Discovery & Requirements: Lead structured discovery to understand business goals, investment decision making needs, and associated data requirements. Apply appropriate elicitation techniques (e.g. interviews, workshops, process analysis) to capture and validate requirements. Produce clear, usable artefacts to support strategy and solution design (e.g. business processes, data flows, user stories, acceptance criteria).
- 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.
- 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.
- 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.
What you’ll bring:
- Proven experience as a Business Analyst within financial services, asset management, or a related investment focused environment.
- Strong experience working on data, analytics, or data platform initiatives, with the ability to engage credibly with technical specialists.
- Demonstrated ability to lead discovery, influence stakeholders, and shape solutions in complex environments.
- Experience working with Agile or iterative delivery approaches.
- Solid understanding of investment concepts, processes, and decision making.
- A flexible, pragmatic approach, able to adapt methods and outputs to suit the context.
- Experience with cloud‑based data platforms or analytics tooling (e.g. Azure, Power BI).
- Prior exposure to data governance, data quality, or information management initiatives.
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer:We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email.
Business Analyst Investments Data Strategy 18 Month Fixed Term Contract in London employer: WTW
WTW is an exceptional employer that prioritises employee wellbeing and professional growth, offering a flexible hybrid working model and a comprehensive benefits package that includes generous annual leave, private healthcare, and a robust pension scheme. Our collaborative work culture fosters innovation and inclusivity, empowering employees to thrive in their roles while making meaningful contributions to investment decision-making and business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst Investments Data Strategy 18 Month Fixed Term Contract in London
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We think you need these skills to ace Business Analyst Investments Data Strategy 18 Month Fixed Term Contract in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at WTW, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to WTW, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at WTW
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at WTW.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at WTW.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at WTW.
