Data Analyst, Specialist

Vanguard; Manchester; Hybrid; GBP 35,000 - 50,000; Full time

Job summary

A leading investment management firm in Manchester is seeking a Data Analyst to support business objectives through data insights and analytics. This role involves engaging with internal partners, structuring business requests, and utilizing data visualization tools to communicate findings effectively. Candidates should have experience in SQL and Python, with a proactive mindset and strong communication skills. The position offers a hybrid working model to enhance flexibility and collaboration.

Qualifications

• Keen interest in analytics and data driven decision making.
• Familiarity with extracting and formatting data using SQL.
• Working knowledge and experience using Python.
• Strong Excel skills for data aggregation and analysis.
• Familiarity with retail platforms and client services model.
• Experience with AWS cloud computing infrastructure.
• Understanding of Agile tools and Kanban methodologies.
• Ability to self-manage and self-motivate.
• Effective communication with cross-functional teams.

Responsibilities

• Engage with partners to understand business strategy.
• Translate business requirements into analytics projects.
• Verify data quality and perform historical analyses.
• Deliver self-serve capabilities and data visualizations.
• Manage recurring analytical processes.
• Participate in special projects as needed.
• Align with agile work management frameworks.
• Invest in learning technical data tools.

Skills

Data-driven mindset

SQL / data wrangling

Python experience

Advanced Excel

Product specific knowledge

AWS Experience

Agile ways of working

Proactive attitude

Strong communication skills

Job description

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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 transforms 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

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

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

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

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

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

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

7. Participate in special projects and perform other duties, as needed.

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

9. 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

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

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

3. Python experience: working knowledge and experience using Python.

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

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

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

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

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

9. 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.