Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Analyst, Specialist

Vanguard
Greater Manchester
1 month 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, Specialist | Manchester, UK

Data Analyst, Specialist

Data Analyst - Anaplan Specialist

Data Analyst – PowerBI Developer and MS Fabric Specialist

Master Data Analyst

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.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.