Enterprise Data - Technical Support Representative - Sydney | Sydney | Bloomberg Careers

Enterprise Data - Technical Support Representative - Sydney

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Posted Oct 21, 2021 - Requisition No. 96715

We’re Bloomberg Enterprise Data - fast paced, innovative and expanding. We have worked hard and smart to become business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. We provide a vast number of datasets that cover all asset classes, via multiple delivery technologies and flexible scheduling options. This means our clients get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can’t operate.

The role:

As a Data Technical support representative, you will be supporting our Enterprise Data clients across the region. We’re looking for a passionate, motivated service-orientated individual to come and join our Data Technical support team. You’ll be trained to quickly and accurately identify problems, and perform detailed and meaningful diagnostics and troubleshooting to identify the root cause. If needed, you’ll escalate the issue internally, all whilst ensuring our clients receive an exceptional, seamless support experience.

We’ll trust you to:

  • Work closely with technical and market data contacts at client firms to help resolve and prevent issues that may impact their businesses
  • Handle escalations to internal Bloomberg groups such as Network Operations, Global Data, Data Feeds, Implementation and Software Engineering
  • Take ownership of questions and technical issues reported by clients and provide direct support using phone, ticket systems, and in person if necessary
  • Actively troubleshoot to recreate reported customer issues on internal, client simulated and test system environments or by actually carrying out diagnostic work on clients own test/UAT systems
  • Identify opportunities to implement and drive adoption of self-service solutions to meet client needs
  • Identify team and personal workflow efficiencies through tooling and process improvement
  • Maintain the health and availability of our systems through alerting, monitoring, capacity management, instrumenting, and reporting
  • Partner with sales and account management to build and strengthen client relationships

You’ll need to have:

  • 2+ years experience technically supporting a product in a financial Services or Financial Technology organisation
  • Bachelor's degree in Computer Science, Information Systems/Technology or Finance
  • Experience working with a scripting language or programming language (eg Shell, Perl, Python, .NET, Java or C++)
  • An understanding of cloud architecture (AWS, Azure, GCP)
  • An analytical and problem solving mindset
  • A passion for customer service
  • Strong multitasking skills and the ability to maintain a professional demeanor when handling complex and time sensitive issues
  • A basic understanding of market data and associated financial instruments
  • Ability to derive requirements from stakeholders via email, meetings, and conference calls
  • Strong presentation and communication skills
  • Demonstrated continuous career growth within an organisation

We’d love to see:

  • UNIX skills with ability to investigate technical issues or willingness to learn
  • A basic conceptual understanding of Web Services and REST API's
  • Experience with database querying languages such as SQL, NoSQL or similar
  • Exposure to architectural design in order to facilitate client adoption of Bloomberg's Enterprise Data products and services
  • CFA or related financial services certifications

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/solution/data-and-content

Bloomberg is an equal opportunities employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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