We're looking for a talented and highly motivated Financial Research Data Analyst to join our Bloomberg team and take our data-driven research to the next level! Our ideal candidate will be an experienced professional with a solid understanding of quantitative analysis, data modeling, and financial analysis. They should have exceptional problem-solving skills, be comfortable working with large data sets, and be passionate about data-driven research.Required Qualifications:• Bachelor's degree in a quantitative field such as economics, finance, mathematics, or statistics• Proven experience in data analysis, financial analysis, and/or quantitative research• Advanced knowledge of Microsoft Excel and related software• Excellent communication, critical thinking, and problem-solving skills• Ability to work independently and collaboratively in a fast-paced environmentIf you have the qualifications and the passion to help our team lead the way in financial research, apply today and join the Bloomberg team!
Economics
Or Related Field
R
Excellent Communication And Interpersonal Skills
Strong Quantitative And Analytical Skills
Or C++
Proficiency In Programming Languages
Such As Python
Knowledge Of Financial Markets And Economic Theory
Knowledge Of Statistical Analysis Software
Ability To Multitask And Manage Multiple Projects
Understanding Of Database Design And Management
Bachelors Degree In Finance
Financial Reporting
Accounting
Sql
Data Analysis
Market Research
statistical analysis
Excel
Financial Modeling
Quantitative Analysis
Data Visualization
Valuation
Data Mining
Risk Analysis
Bloomberg terminal
Financial Research
Communication
Leadership
Problem Solving
Time management
Interpersonal Skills
creativity
Critical thinking
Organizational skills
Teamwork
Adaptability
According to JobzMall, the average salary range for a Financial Research Data Analyst in London, UK is £41,000 - £51,000 per year.
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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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