
Funds Research Data Analyst
Bloomberg is looking for an experienced and highly detail-oriented Funds Research Data Analyst to join our team. The ideal candidate will have an understanding of investment funds, an eye for detail, and a passion for problem-solving. In this role, you will play a key role in the collection, analysis, and maintenance of fund data that supports the firm's research and portfolio management activities. To be successful in this position, you will need a combination of strong analytical, organizational and communication skills, as well as a deep understanding of the financial industry. If you have the required qualifications, enjoy working in a fast-paced environment, and are looking for an exciting opportunity to make an impact, this may be the perfect role for you.
Excellent Communication And Interpersonal Skills
Strong Mathematical And Statistical Skills
Extensive Knowledge Of Financial Markets And Instruments
Good Understanding Of Financial Accounting And Fundamentals
Ability To Work With Large Datasets And Databases
Experience In Programming Languages Such As Python Or R
Ability To Develop And Maintain Complex Models
Demonstrated Research And Analytical Skills
Financial Reporting
Business Analysis
Sql
Project Management
Data Analysis
Market Research
statistical analysis
Excel
Financial Modeling
Data Visualization
Accounting principles
Database queries
Regulatory Knowledge
Bloomberg Terminals
Fund Performance
Communication
Leadership
Problem Solving
Time management
Interpersonal Skills
creativity
Organization
flexibility
collaboration
Adaptability
According to JobzMall, the average salary range for a Funds Research Data Analyst in Princeton, NJ, USA is $48,000 to $60,000 per year. This range may vary depending on experience, qualifications, and other factors.
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Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.

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