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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 revolutionising investment with values-driven strategies for client success.
- Benefits: Enjoy a hybrid working model, flexible hours, and opportunities for professional growth.
- Other info: Upskill in analytics and work within a global CDAO division.
- Why this job: Join a mission-driven team that empowers you to make a real impact in the investment world.
- Qualifications: Data-driven mindset, SQL experience, Python knowledge, and strong communication skills required.
The predicted salary is between 28800 - 43200 £ per year.
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Data Analyst, Specialist
Analyzes 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\’ investment success and enhance our services. This data and analytics support is provided by the CDAO (Chief Data & Analytics Office) division in Europe, part of Vanguard\’s IT department. This division centralizes data & analytics capabilities and transforms how staff use data to help clients and investors thrive.
Within the UK Personal Investor data and analytics team (within CDAO Europe), we\’re aiming to use our capabilities to better advise the business, provide teams and SMEs with key data sources for self-service, and enable more detailed analytics, automation, and data science capabilities. This role is critical to these objectives and offers a great opportunity for an existing team member to upskill in analytics within a European division of a global CDAO department.
In this role you will
- Engage with internal partners to understand business strategies, questions, and goals.
- Structure business requests, translate requirements into analytical projects, and support their completion.
- Acquire and compile structured and unstructured data, verifying its quality, accuracy, and reasonableness.
- Analyze historical data to identify trends and insights using analytical methods.
- Prepare and deliver self-service capabilities, data visualizations, and presentations that translate insights into actionable solutions for business partners.
- Own and manage recurring analytics or reporting processes as needed.
- Participate in special projects and perform other duties as required.
- Align with and evolve agile work management frameworks, including documentation.
- Invest in upskilling on technical data tools, concepts, and frameworks (e.g., data science, cloud computing, data visualization) and share these learnings with the team.
What we are looking for
- Data-driven mindset: Keen interest in analytics and data-driven decision making.
- SQL/data wrangling experience: Familiarity with extracting and formatting data from source systems, ideally using SQL.
- Python experience: Working knowledge and experience with Python.
- Advanced Excel skills: Strong Excel skills for aggregating and analyzing data in partnership with the business.
- Product-specific knowledge: Familiarity with retail platforms, third-party recordkeepers, and client service models is beneficial.
- AWS experience: Familiarity with AWS services (particularly Athena, S3, and Glue ETL) is preferable; understanding cloud infrastructure is a plus.
- Agile ways of working: Knowledge of Agile tools (specifically JIRA) and methodologies (specifically Kanban).
- Proactive attitude: Ability to self-manage, learn quickly, proactively deliver results, and communicate effectively.
- Strong communication skills: Ability to communicate technical concepts to non-technical audiences effectively.
About Vanguard
We are Vanguard. Together, we\’re changing the way the world invests. Our investments are driven by values—courage, clarity, and care—which help us lead in the global market. We grow by doing the right thing for those we serve. We aim to make success accessible to everyone. This is our opportunity. Let\’s make it count.
How We Work
Vanguard has adopted a hybrid working model to combine flexibility with in-person collaboration and learning. Our mission-driven culture supports long-term client success and enriches the employee experience. Job ID 168997
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Data Analyst, Specialist employer: Vanguard Group, Inc.
Contact Detail:
Vanguard Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Specialist
✨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 during interviews.
✨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 how you've used data to drive decisions in past roles. Think of specific examples where your analytical skills led to actionable insights, as this will demonstrate your data-driven mindset to potential employers.
✨Tip Number 4
Stay updated on industry trends related to data analytics and investment services. Being knowledgeable about current events and advancements in the field will help you engage in meaningful conversations during interviews and show your passion for the industry.
We think you need these skills to ace Data Analyst, Specialist
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. Familiarise yourself with the key skills mentioned in the job description, such as SQL, Python, and advanced Excel skills.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your data analysis capabilities, any experience with AWS, and your familiarity with Agile methodologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and how your background makes you a great fit for the role. Mention specific examples of how you've used data to drive business decisions or improve processes.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Vanguard Group, Inc.
✨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. This will demonstrate your technical proficiency and your ability to apply these skills in a real-world context.
✨Understand the Business Context
Research Vanguard and its UK Personal Investor business. Understand their goals and how data analytics supports their objectives. This knowledge will help you align your answers with their needs and show that you're genuinely interested in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach specific analytical projects or challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to communicate insights clearly. This will highlight your strong communication skills, which are essential for the role.