2023 Data Analyst

Job Description

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, analyze, process and publish the data which is the backbone of our iconic Bloomberg Terminal - thedata ultimately feeding and moving the financial markets. The Role: As a Data Analyst you will apply your problem-solving skills to manage the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish linkswith key players in the financial market. Our Data Analysts possess a unique combination of business insight and technical aptitude, as well as effective communication skills and ability to build relationships with various stakeholders. They use these skills to extract, transform and load timely, accurateand comprehensive data accessible to our clients across various Bloomberg platforms, playing a key role in empowering our clients to make well informed business decisions. Providing exceptional support assisting our clients with their data queries is a keypart of the role. Well trust you to:

• Use a variety of software solutions to extract and rationalize data to Bloomberg taxonomies
• Provide timely and in-depth customer support for users of the Bloomberg Terminal and our associated Enterprise Products
• Implement business rules for programmatic data validation by codifying market conventions and/or data relationships
• Design and manage workflow configurations for critical functions such as acquisition, worklist management, and quality control
• Monitor financial market developments to build subject matter expertise and data analytical capabilities that generate premium content, including data-driven news stories
• Lead ad hoc projects to optimize processes and/or improve the quality of the data set
• Use statistics and data visualization skills to report on results of on-going operations and projects, as required
• Contribute to continuous improvement by generating ideas to improve our data products and/or associated processes and building prototypes to validate and illustrate requirements
• Partner with a wide variety of stakeholders from Engineering to Sales on product development

Youll need to have:

• At least a Bachelors degree in Finance, Business, Economics, Accounting, STEM, or a related degree or equivalent experience;
• A passion for data, finance and technology with the aspiration to work in the financial/fintech services industry
• Previous work, internship and/or academic experience in data analysis and finance
• Effective project management skills and ability to prioritize tasks accordingly

Wed love to see:

• A Masters degree in Finance, Business, Economics, Accounting, STEM, or a related degree or equivalent experience;
• Demonstrated interest in financial markets and concepts; understanding of finance and accounting principles and procedures
• Demonstrated experience using Python, SQL, or related languages
• Experience in customer service or client relationship management within the financial industry
• Previous work experience with the Bloomberg Terminal, or Bloomberg Market Concepts (BMC) certification

Does this sound like you Apply if you think were a good match. Well get in touch to let you know what the next steps are! Please note this is a two-stage application process, following the submission of your candidate details you will receive an email with directions to completean online assessment. Your application will not be complete until you have submitted the assessment. In the meantime, feel free to have a look at this: https://careers/global-data/ 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.