Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
Stand up for investors and advance your career
We have an exciting role for a Business Intelligence Data Analyst
To evangelize, promote and facilitate the use of business intelligence analytics and AI/ML models by serving as an enterprise expert and resource on the tools, data, and processes needed to provide business leaders with ongoing actionable insights. To help business units establish their own capabilities and expertise to manage and maintain their business intelligence needs.
In this role you will:
- Leads and executes analytic work to identify and develop key business intelligence metrics.
- Consults with business units to understand their business intelligence needs and ensures that business leaders have the right metrics to inform key decisions and actions.
- Interprets and analyses appropriate data sources of high complexity, using best practice and advanced research/analytical data science techniques.
- Develops complex queries and performs extensive programming to access, transform and prepare data.
- Uses expert knowledge of data visualisation tools, data and business needs to deliver data in a way that enables business stakeholders to quickly understand, form action plans and make informed decisions.
- Brings business intelligence expertise and best practices to help define enterprise data and technology solutions.
- Maintains flexibility in meeting deadlines and expectations in the face of shifting priorities. Clearly communicates ideas and solutions to business stakeholders, leadership and sponsors.
- Collaborates strongly across Vanguard and with industry groups on data availability and/or requirements.
- Helps define and refine processes and frameworks needed to identify needs.
- Participates in special projects and performs other duties as assigned. Actively develops, participates in and/or presents to the data analytics SME community at Vanguard.
What it takes :
- Undergraduate degree in an analytically oriented subject, for example economics, finance, statistics, mathematics or equivalent combination of training and experience
- Minimum 4 years of experience working directly with large data, carrying out vigorous data analysis and building models bespoke to business needs.
- Experience with data wrangling essential - Programming skills to access, transform and prepare large scale data. Experience utilising machine learning methods required.
- Strong knowledge of AWS, SQL, R, Python, Hive, Presto or other data analysis, data mining and programming tools is essential
- Experience with business intelligence tools such as Tableau, Power BI or equivalent required
- Advanced analytical/statistical reasoning skills needed
- Knowledge of web analytics, marketing automation and CRM data is desirable
- Demonstrated track record of building strong relationships across technical and non-technical crew
- Exceptional organisational and interpersonal skills required
- Strategic thinker with tactical abilities
- Ability to independently manage multiple projects/initiatives simultaneously while adhering to deadlines
- Ability to work effectively with all levels of management, including senior executives
Special Factors
Vanguard is not offering visa sponsorship for this position.
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 can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader.
We want to make success accessible to everyone. This is our opportunity. Let’s make it count.
Inclusion Statement
Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”
We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.
When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.
Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
** INTERNAL CREW, CONTRACTOR & DIRECT APPLICATIONS ONLY** ****
Please note, current suppliers and potential suppliers are not permitted to communicate with or contact or send or otherwise provide any speculative resumes to any department, business unit, subsidiary or affiliate of Vanguard, or any employee thereof, at any time unless expressly instructed or permitted by a member of Vanguard’s HR department. For the avoidance of doubt, Vanguard will not pay any fees to a supplier or potential supplier in respect of any candidate unless Vanguard HR has either requested the referral or given its prior written consent to the referral. If you would like to partner with Vanguard Europe, please contact recruitment_europe @vanguard.com and we will be in touch if we need further information and/or if we need additional support.
Future of Work
During the pandemic, we transitioned to a work from home model for the majority of our crew and we continue to interview, hire, and on-board future crew remotely.
As we have developed the path forward, we have taken a thoughtful approach that both maximizes the advantages of working remotely and the many benefits of coming together and collaborating in a shared workspace. We believe that in-person interactions among our crew are important for preserving our unique culture and advantageous for the personal development of our crew.
When our Crew return to the office, many will work in our hybrid model. A smaller proportion of our crew will operate in the Work from Home work model (for example, field sales crew); or in the Work from Office model (for example, portfolio managers).
The working model that your role falls into will be communicated to you in the interview process – please do ask if you are unsure. We encourage you to make the decision regarding your job interview and offer knowing which model your role will fall into. We will test and learn as our ways of working evolve and will continue to evaluate working models along the way.