National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst, Specialist

Vanguard
Greater London
1 week ago
Create job alert

Analyses data, assesses trends and develops actionable insights and recommendations in support of business objectives.Analyses data, assesses trends and develops actionable insights and recommendations in support of business objectives.

The opportunity 

The UK Personal Investor business relies on data and analytics to understand our clients and make business decisions to improve our clients' chances of investment success, and improve the way in which we can help our clients. This data and analytics support comes from the CDAO (Chief Data & Analytics Office) division in Europe and part of Vanguard’s IT department. This division centralises data & analytics capabilities and transform how crew use data so that clients and investors can thrive.

Within the UK Personal Investor data and analytics team (within CDAO Europe), we’re looking to use our capabilities to better advise the business, provide teams and SMEs with key data sources to enable self-service, and finally to enable more detailed and robust analytics, automation and data science capabilities within the team. This role is critical to these objectives and a great opportunity for an existing crew member to upskill in analytics whilst working within a European division of a global CDAO department.

In this role you will

Engage with internal partners to understand business strategy, questions, and goals.

Bring structure to business requests, translate requirements into an analytical project approach, and support projects through completion.

Acquire and compile structured and unstructured data and verifies its quality, accuracy, and reasonableness.

Perform analyses of historical data to surface trends and insights using analytical methods.

Prepare and deliver self-serve capabilities, data visualisations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

Own and manage recurring analytic or reporting processes, as needed.

Participate in special projects and performs other duties, as needed.

Aligns with and evolves agile work management frameworks (including documentation).

Invest time in upskilling on technical data tools, concepts and frameworks (for example, data science, cloud computing and data visualisation) and sharing these learnings with the team. 

What we are looking for

Data-driven mindset: Keen interest in analytics and data driven decision making within the business.

SQL / data wrangling experience: familiarity with extracting and formatting data from a variety of source systems ideally using SQL.

Python experience: working knowledge and experience using Python.

Advanced Excel: strong excel skills and familiarity with aggregating and analysing data in partnership with the business.

Product specific knowledge: familiarity and experience within retail platforms, third party recordkeepers, and client services model would be beneficial.

AWS: Experience with AWS (particularly Athena, S3 and glue ETL) again preferable but an understanding of cloud computing infrastructure and capabilities a big plus.

Agile ways of working: understanding of Agile tools (specifically JIRA) and ways of working (specifically Kanban).

Proactive ‘get stuff done’ attitude: ability to self-manage and self-motivate, with an ability to learn quickly and proactively deliver and communicate results.

Strong communication skills: ability to communicate effectively (verbal and written) with a range of cross-functional teams, including communicating technical concepts to non-technical audiences. 

About Vanguard

We are Vanguard. Together, we’re changing the way the world invests. For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you get so much more in return. We invest with purpose—and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you. We want to make success accessible to everyone. This is our opportunity. Let’s make it count.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Related Jobs

View all jobs

Data Analyst, Specialist

Data Analyst – PowerBI Developer and MS Fabric Specialist

Data Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Qlik Sense Data Analyst / Data Visualisation Specialist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.