Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing exceptional customer support to our clients.
Our Team:
The Global Data Analytics Team is the frontline customer service provider for Bloomberg's Data clients. We deliver knowledgeable and dedicated service to our customers addressing data related inquiries. We liaise with data’s domain based teams to help confirm and support data related inquiries through the “ADSK” system. We solve complex problems and provide accurate and timely solutions in order to consistently surpass the expectations of our clients. The team is structured into domain based teams across three asset classes with Equity, Fixed Income and Multi Asset teams across the globe with generalists across each group. These teams are directly aligned to domain based ADSK groups and partners among Data’s departments, Companies, Securities, Managed Investment and Benchmarks, Content Acquisition, and the Data Management Lab teams.
What’s the role?
Our Data Analysts are the front line of customer service for Data supporting both internal and external clients. In this role your core responsibility will be supporting Bloomberg clients through our Help Desk, which will allow you to develop general financial markets understanding and knowledge of the inner workings of Bloomberg's customer service technology. You will also use your project management skills and problem solving abilities to assist in the implementation of strategic solutions to improve client experience and team workflows and procedures. We are a large team that interacts with all areas of the business, therefore the ability to effectively connect with partners in different regions and roles is essential.
We'll trust you to:
- Leverage your customer service skills to provide exceptional customer service to Bloomberg clients via our Help Desk (ADSK)
- Use your customer service skills and subject matter expertise to educate and inform our clients
- Build and maintain relationships with key internal and external Stakeholders (such as Enterprise Support, Analytics, and Data Product Teams)
- Use problem solving and data analysis skills to find insights that assist in the implementation of strategic solutions to improve the client experience
- Enhance customer operational performance by using Help Desk resources
- Actively seek out opportunities for self-improvement, keeping up with new product training and process knowledge
- Make independent decisions to resolve customer issues with strong problem solving skills
You’ll need to have:
- 1-3 years of work experience in the financial services industry, including exchanges, market data providers, financial technology or financial institutions
- Proficiency in data analytics tools such as QlikSense, or Tableau
- Experience working in a customer service roles where you're interacting with both internal and external clients, eg customer support or helpdesk roles
- A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications
- Ability to adapt within a fast-paced and dynamic environment, and desire to work on multidisciplinary teams
- Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems
- Ability to work independently & in a team environment under deadlines, demonstrating self-motivation
- Demonstrated continuous career growth within an organisation
- Excellent written and verbal communication skill in English
We’d love to see:
- Proficiency in Mandarin
- Proficiency in Microsoft Office suite & Google Drive
If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional
