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- Tasks: Lead data analysis to support Investment Stewardship and drive a data-informed culture.
- Company: Vanguard, a mission-driven investment management company.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by promoting strong corporate governance and enhancing data literacy.
- Qualifications: 5+ years of experience in data analysis, strong skills in AWS, Python, and data visualisation tools.
- Other info: Collaborative environment with a focus on mentorship and career development.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
In this role, you will serve as the lead data analyst supporting the data and analytics needs of Investment Stewardship and help drive our data-informed culture. You will partner with Investment Stewardship leadership and crew, Digital Product Manager, OGC IT, and enterprise partners to help set a vision and manage our roadmap to scale and support data self-service and providing data-driven solutions.
Vanguard's Investment Stewardship program acts as a voice for our investors to promote strong corporate governance focused on long-term investment returns at the companies in which our funds invest. Our Investment Stewardship program is closely aligned with Vanguard's core purpose to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success." Investment Stewardship supports this mission by engaging with executive leadership teams and boards of directors of the companies in which the Vanguard-advised funds invest, as well as voting at shareholder meetings to make sure that investors' interests are always a priority.
In this role, you will serve as the lead data analyst supporting the data and analytics needs of Investment Stewardship and help drive our data-informed culture. You will partner with Investment Stewardship leadership and crew, Digital Product Manager, OGC IT, and enterprise partners to help set a vision and manage our roadmap to scale and support data self-service and providing data-driven solutions.
Responsibilities
- Collaborate with Investment Stewardship and enterprise business partners to define and implement effective metrics and performance measurements for key internal initiatives.
- Develop and maintain complex queries and datasets to support self-service reporting and analytics platforms.
- Work closely with IT development teams to identify, source, and store necessary data assets in support of the Investment Stewardship teams.
- Conduct data validation and testing to ensure accuracy and compliance.
- Design and implement scalable self-service analytics solutions using tools such as Tableau, Power BI, or similar platforms to enhance data literacy across the department.
- Proactively identify opportunities to improve efficiency and deliver business value through data-driven insights.
- Mentor and train Investment Stewardship team members and partners to foster a data-informed culture.
- Develop ETL processes, design database systems, and build tools for both real-time and batch analytical processing.
- Translate business requirements into technical specifications and implement corresponding solutions.
- Contribute to all phases of the analytics solution lifecycle, from design to deployment.
- Partner with internal stakeholders to understand strategic goals and translate them into actionable data initiatives.
- Gather, clean, and integrate structured and unstructured data for analysis.
- Analyze historical data to uncover trends and generate insights using advanced analytical techniques.
- Create compelling visualizations and presentations to communicate findings and support decision-making.
- Own and manage recurring analytics and reporting processes.
- Provide guidance and development support to junior data analysts.
Qualifications
- Deep expertise in Vanguard's data ecosystem and metadata management.
- Strong foundation in relational database design and architecture.
- Proven experience leveraging AWS services to access, process, and manage large-scale datasets.
- Advanced proficiency in query and programming tools such as Amazon Athena and Python (Anaconda); experience with SageMaker is a plus.
- Mastery of data visualization platforms including Tableau, Power BI, or equivalent tools.
- Exceptional attention to detail with a commitment to thorough documentation and data integrity.
- Experience with GitHub and code version control
- Excellent communication, stakeholder engagement, and project management skills.
- Demonstrated ability to think conceptually and solve complex problems.
- Familiarity with regulatory/compliance data and fund-side systems (e.g., GIFS, GIDM) is a strong advantage.
- Proactive, hands-on approach with a drive to make an immediate impact.
- Enthusiastic about challenges and contributing to a collaborative, fun work environment.
- Minimum of 5 years of relevant professional experience.
- Bachelor's degree or equivalent combination of education and experience.
Special Factors
- Vanguard is not offering visa sponsorship for this position.
- Hybrid work model.
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.
Data Analyst, Specialist - Vanguard employer: Vanguard
Contact Detail:
Vanguard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Specialist - Vanguard
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Vanguard on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Make sure you're comfortable with tools like Tableau and Python, as well as discussing your past projects. We want to see how you can bring value to our Investment Stewardship team!
✨Tip Number 3
Show us your passion for data! During interviews, share specific examples of how you've used data to drive decisions or improve processes. This will demonstrate your commitment to fostering a data-informed culture, which is key for this role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining Vanguard and contributing to our mission of supporting investors.
We think you need these skills to ace Data Analyst, Specialist - Vanguard
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Analyst at Vanguard. Highlight your experience with data analytics, self-service reporting, and any tools like Tableau or Power BI that you’ve used. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our Investment Stewardship programme. Be sure to mention any relevant projects or experiences that showcase your analytical prowess.
Showcase Your Technical Skills: Don’t hold back on your technical abilities! Whether it's AWS services, Python, or database design, make sure to list these prominently. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes straight to the right people. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Vanguard
✨Know Your Data Inside Out
Make sure you’re well-versed in Vanguard's data ecosystem and the tools mentioned in the job description. Brush up on your skills with AWS services, Python, and data visualisation platforms like Tableau or Power BI. Being able to discuss specific projects where you've used these tools will show you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about times when you identified opportunities for improvement through data-driven insights. This will demonstrate your ability to think conceptually and solve problems, which is crucial for the role.
✨Engage with Stakeholders
Since this role involves collaboration with various teams, be ready to discuss how you've successfully engaged with stakeholders in previous positions. Highlight your communication skills and any experience you have in translating business requirements into actionable data initiatives.
✨Emphasise Your Mentoring Experience
If you’ve had the chance to mentor or train others, make sure to mention it! Vanguard values a data-informed culture, so sharing your experiences in fostering this environment will resonate well. It shows that you’re not just focused on your own success but also on helping others grow.
