Bloomberg runs on data, and data drives the market. Our Global 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.
In Global Data, you will apply your problem-solving skills to identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, establish links with key players in the financial market by providing exceptional client support, and manage the financial data that feeds the Bloomberg Terminal.
What is Bloomberg?
Learn more about Bloomberg’s unique corporate culture - fast, smart, unexpected, collaborative and bold. 64 lines, read by 35 employees, using 18 culturally distinct vocal styles, covering 5 languages - eloquently speaking to the truly global nature of Bloomberg.
Data Analysts possess a unique combination of technical skills and business insight, as well as strong communication and ability to build relationships. They use these skills to collaborate with a variety of stakeholders to provide timely, accurate, and comprehensive data to our clients. They also play a key role in evolving our products and processes, which makes the role challenging and entrepreneurial. The Equity Fundamentals Data Analyst will sit specifically within our Equity teams.
We’ll trust you to:
Utilise a variety of software solutions to extract and rationalise data to Bloomberg taxonomies
Analyse internal processes to identify opportunities for improvement, as well as devise and implement innovative solutions
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
Contribute to continuous improvement by generating ideas to improve our data products and/or associated processes and building prototypes to validate and illustrate requirements
Lead ad hoc projects to optimise processes and/or improve the quality of the data set
Utilise statistics and data visualisation skills to report on results of on-going operations and projects, as required
Build subject matter expertise and technical skills to generate premium content, including data-driven news stories
Partner with a wide variety of stakeholders from Engineering to Sales on product development
Provide in-depth 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.
You’ll need to have:
A degree background in Accounting or Finance or a STEM degree background with a passion for finance
Strong passion for data, technology and finance
Demonstrated project or work experience using one more programming language such as Python, SQL and R
Fluency in English and either French or Italian
Excellent written and oral communication skills
Understanding and experience of statistics and data modeling
Solid attention to detail and strong evidence of decision-making and problem solving skills
Eagerness to learn and collaborate
Ability to remain calm under pressure in a frequently changing environment.
We’d love to see:
Prior work experience in information technology, engineering, finance, data analysis or research
Exposure to Bloomberg products such as the Professional Service
Established presence in virtual development communities such as GitHub, Stack Overflow and HackerRank
Familiarity with Data Science and/or Machine Learning
Experience using data visualisation tools such as Tableau or QlikSense.
We’re proud to provide all full-time employees with comprehensive healthcare coverage, as well as programmes and services to help them and their families manage their health and well-being.
In addition to health, dental and vision coverage, we offer disability and life insurance, a retirement savings plan (complete with a generous company match), and an array of wellness programmes.
We also have perks including fitness and gym reimbursement, commuter savings programmes and discounts on products and services.
Our benefits do vary from region to region, so chat with your recruiter if you want to learn more.
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! Please note this is a two stage application process, following the submission of your candidate details you will receive an email with directions to complete an online assessment. Your application will not be complete until you have submitted the assessment.
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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