Global Data Analyst - German or French Speakers

Careers at Bloomberg

London

Posted Aug 3, 2017 - Requisition No. 59872

You're the type of person who has a passion for taking raw numbers and turning them into actionable insights for the world's business and financial decision makers. Your friends all know you as the one who has a true interest in technology, and who likes nothing more than spotting a creative way to improve a process. You have a natural eye for detail, and an interest in the financial markets. You are independent and determined, but thrive as part of a team. You enjoy dealing with people, and you're that person who knows what customer service really means.

Our team:

Bloomberg runs on financial data, and our Global Data department is responsible for acquiring it and supplying it to our clients. Our Data Analysts collect, analyse, process and publish the data which is the backbone of our iconic Bloomberg Terminal- the data which ultimately moves the financial markets.They apply problem-solving skills to identify innovative workflow efficiencies, and they implement technology solutions to enhance our systems, products and processes- and all this while providing platinum customer support to our clients.

What you can expect from this opportunity?

You will take part in the Global Data Training Programme which will help you build the foundation for your entire career at Bloomberg. Joining the Global Data department means that you are a part of one of the world's leading sources of data; providing accurate, up-to-the-second insights for financial market professionals. You will enhance your financial knowledge, learn about our clients and their needs and build relationships throughout the company. The training will teach you financial concepts, data and the functions of our state-of-the-art Bloomberg Terminal.

You will be matched with a team covering one or several of the following products; Commodities, Corporate Finance, Derivatives, Equities, Earnings Estimates, Economic Statistics, Fixed Income, FX, Funds or Global Data Analytics.As your experience grows, you will be expected to have greater influence on Bloomberg's coverage of the market. Whether that is through technical or financial market expertise, project management or leadership.

We'll trust you to:

  • Acquire, update, maintain and process financial data using various internal systems and proprietary company software
  • Come up with innovative ways to enhance our systems and to make our data-related processes more efficient, accurate and timely
  • Participate in time-sensitive projects, and collaborate with your global colleagues to deliver new initiatives
  • Develop expertise in fast-moving market sector information
  • Liaise with technology teams to enhance relevant product databases
  • Provide a platinum level of service to Bloomberg customers

We need you to have:

  • Bachelor's degree or equivalent qualification
  • Fluency in English, and German or French
  • Excellent numerical and communication skills
  • Strong understanding of the wide-ranging impact of financial data
  • Prior experience or strong knowledge and understanding of finance
  • Ability to adapt in a fast paced changing environment
  • Effective project management skills and ability to prioritise tasks accordingly
  • Keen interest in information management and technology and product development
  • Advanced knowledge of Microsoft Excel
  • Basic knowledge of Python
  • Availability to start a full-time position in 2017

It would be great if you had:

  • Prior experience of interacting with players within the financial industry
  • Knowledge in any additional statistical analysis or computer programming languages (for example VBA, SQL, MATLAB, Regex)

Does this sound 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!

In the meantime feel free to have a look at this:

https://www.bloomberg.com/careers/global-data/

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

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