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For Companies At a Glance
- Tasks: Analyse data, identify trends, and provide actionable insights to support business goals.
- Company: Vanguard is a global leader in investment management, focused on values-driven investing.
- Benefits: Enjoy a hybrid working model, flexible hours, and opportunities for professional growth.
- Why this job: Join a mission-driven team that values collaboration and empowers you to make a real impact.
- Qualifications: Data-driven mindset, SQL and Python experience, strong Excel skills, and effective communication abilities.
- Other info: Opportunity to upskill in analytics within a supportive European division.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst, Specialist
Vanguard Group Manchester, United Kingdom
Vanguard Group Manchester, United Kingdom
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.
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Data Analyst, Specialist | Manchester, UK employer: Vanguard Group
Contact Detail:
Vanguard Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Specialist | Manchester, UK
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as SQL and Python. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge will set you apart from other candidates.
✨Tip Number 2
Engage with the data analytics community on platforms like LinkedIn or relevant forums. Networking can provide insights into the role and company culture, and you might even connect with current employees who can offer valuable advice.
✨Tip Number 3
Prepare to discuss your experience with data visualisation and how you've translated complex data into actionable insights. Be ready to share specific examples during interviews that demonstrate your analytical thinking and problem-solving skills.
✨Tip Number 4
Stay updated on industry trends related to data analytics and investment strategies. Being knowledgeable about current events and advancements in the field will show your passion and commitment to the role, making you a more attractive candidate.
We think you need these skills to ace Data Analyst, Specialist | Manchester, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst, Specialist position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Skills: Focus on showcasing your data-driven mindset, SQL experience, Python knowledge, and advanced Excel skills in your CV and cover letter. Provide specific examples of how you've used these skills in previous roles or projects.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also demonstrates your understanding of Vanguard's mission and values. Mention how you can contribute to their goals using your analytical skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a data analyst role.
How to prepare for a job interview at Vanguard Group
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL, Python, and Excel. Bring examples of how you've used these tools to analyse data and derive insights in previous roles.
✨Understand the Business Context
Research Vanguard Group and its UK Personal Investor business. Understand their goals and how data analytics supports their objectives. This will help you align your answers with their needs.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You may need to demonstrate your ability to communicate effectively with non-technical stakeholders during the interview.
✨Demonstrate a Proactive Attitude
Share examples of how you've taken initiative in past projects. Highlight your ability to self-manage and deliver results, as this aligns with the proactive 'get stuff done' attitude they are looking for.