2019 Data Specialist

Bloomberg (Data) · Competitive · London (central)
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As a Data Specialist you will play a critical role in ingesting and analysing data, managing workflow processes to solve client problems, and providing superior customer service. This may include monitoring industry events and executing upon a variety of projects aimed at improving the timeliness, accuracy, and quality of our data.


Eligibility criteria

• A bachelor's degree preferably in Finance or Economics
• Fluency in English and a main European language or Russian, Turkish, Hebrew, Arabic or Japanese
• Excellent written and verbal communication skills
• Proficiency with Microsoft Applications, particularly Excel
• Familiarity with data processing paradigms and associated tools and technologies
• Strong attention to detail and high degree of demonstrated decision-making and problem solving skills
• Eagerness to learn and collaborate with others
• Interest in and aptitude for technology
• Client-focused mindset
• Ability to work under pressure and in a frequently changing environment

We'd love to see

• Exposure to Bloomberg products such as the Professional Service
• A master’s degree in Finance or Economics
• Project management skills and/or experience
• Working knowledge of VBA and/or SQL
• Familiarity with mark-up languages such as XML, SGML, JSON, YAML, and/or HTML


Roles & responsibilities

• Extract and rationalise data to Bloomberg taxonomies in accordance with established methodologies
• Manage projects to optimize processes and/or improve the quality of our data products
• Perform quality control to ensure data accuracy by inspecting Bloomberg data values and comparing them to source documents
• Provide customer support for users of Bloomberg products such as the Professional Service, News, Enterprise Solutions, and Bloomberg Law by resolving inquiries in a timely manner
• Procure content to support best-in-class coverage of the data set
• Codify market conventions and/or data relationships into business rules for data validation
• Perform incident management, from troubleshooting and root cause analysis to overall problem management
• Contribute to continuous improvement by generating ideas to improve the data products and/or associated processes
• Participate in ad hoc projects to optimize processes and/or improve the quality of the data set
• Report on results of on-going operations and projects, as required
• Utilise subject-matter-expertise to set and maintain methodologies for data management

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