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Data Analyst - Physical Assets, Korean speaker - Hong Kong
Data Analyst - Physical Assets, Korean speaker - Hong Kong-March 2024
Hong Kong
Mar 29, 2026
About Data Analyst - Physical Assets, Korean speaker - Hong Kong

  Data Analyst - Physical Assets, Korean speaker - Hong Kong

  Hong Kong

  Posted Jan 23, 2024 - Requisition No. 122746

  Bloomberg runs on data, and data drives the market. Our Data team acquires and supplies this data to our clients. Teams work collaboratively to collect, analyse, process and publish the data which is the backbone of our iconic Bloomberg Terminal - the data ultimately feeding and moving the financial markets.

  The Role:

  As a Data Analyst on the Physical Assets Data team, you'll help grow Bloomberg's clean energy databases to further deliver an industry-leading data product offering. You will use your data management and problem-solving skills to maintain the workflow of extracting, transforming and loading of timely, accurate and comprehensive data across various Bloomberg platforms. You'll work in a hands-on and creative role executing upon a variety of projects to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. Our Data Analysts possess a unique combination of subject-matter-expertise in the energy industry, strong communication skills and ability to build relationships with various stakeholders, as well as interest in technology (or data management related tools). You'll collaborate closely with both our Data counterparts and our Product team in Princeton, New York, London and Asia.

  We’ll trust you to:

  Procure content to support best-in-class coverage of the clean energy projects datasets

  Perform quality control to ensure data accuracy by inspecting Bloomberg data values and comparing them to source documents

  Design and manage workflow configurations for critical functions such as acquisition, worklist management and quality control

  Perform incident management, from troubleshooting and root cause analysis to overall problem management

  Build subject matter expertise to eventually set and maintain methodologies for data management

  Provide in-depth customer support to users of Bloomberg data products by resolving inquiries in a timely manner

  Analyse internal processes to identify opportunities for improvement, as well as devise and implement innovative solutions

  Lead ad-hoc projects to optimise processes and improve the quality of the datasets

  Report on results of on-going operations and projects, as required

  Partner with a wide variety of stakeholders from Engineering to Sales on product development

  You’ll need to have:

  A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications

  2-5 years of recent work experience in the financial services industry, including exchanges, market data providers or financial institutions

  Demonstrated experience in data management, for example improving data quality, accuracy, efficiency or timeliness

  A proven track record of successful project management skills and ability to prioritize tasks accordingly

  Interest and knowledge in energy transition movement

  Ability to work in a fast-paced, complex and cross-asset environment

  Ability to work with multiple groups across reporting lines

  Comfort with a high degree of autonomy, and shown ability in managing priorities from multiple internal and external partners

  Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems

  The ability to work independently & in a team environment under deadlines, demonstrating self-motivation

  Demonstrated continuous career growth within an organisation

  Demonstrated analytical and customer service skills

  Excellent written and verbal communication skill in English and Korean

  We’d love to see:

  Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification

  Knowledge of SQL/Python querying language

  Experience in semantic structures or data modelling

  Experience using data visualization tools such as Tableau, QlikSense or Splunk

  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

  Why Bloomberg?

  We’re individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We’re interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

  Learn more about our office and benefits:

  Hong Kong | www.bloomberg.com/hongkong

  Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

  Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [email protected] (Americas), [email protected] (Europe, the Middle East and Africa), or [email protected] (Asia-Pacific), based on the region you are submitting an application for.

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