The analysis will be based on company financial data, industry leading data, Bloomberg's data sets, financial models as well as issuer calls and announcements. We'll trust you to: • Actively ...
The analysis will be based on company financial data, industry leading data, Bloomberg's data sets, financial models as well as issuer calls and announcements. We'll trust you to: • Actively ...
The analysis will be based on company financial data, industry leading data, Bloomberg's data sets, financial models as well as issuer calls and announcements. We'll trust you to: • Actively ...
The analysis will be based on company financial data, industry leading data, Bloomberg's data sets, financial models as well as issuer calls and announcements. We'll trust you to: • Actively ...
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Job Title: Entry-Level Business Analyst / Data Analyst Location: United States (Remote / Hybrid options available) Employment Type: Full-Time About the Role We are looking for motivated, detail ...
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Understanding of machine learning principles, algorithms, and implementation. • Analytical Thinking: Ability to interpret complex data, identify patterns, and make data-driven decisions. • ...
Provide quality assurance of imported data, working with quality assurance analyst if necessary. * Commissioning and decommissioning of data sets. * Processing confidential data and information ...
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Austin, TX · On-site
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Entry Level Bloomberg Data Analyst information
See salary details
$13.22 - $17.64
10% of jobs
$20.89 is the 25th percentile. Wages below this are outliers.
$17.64 - $22.05
20% of jobs
$22.05 - $26.46
18% of jobs
The median wage is $27.05 / hr.
$26.46 - $30.88
16% of jobs
$34.12 is the 75th percentile. Wages above this are outliers.
$30.88 - $35.29
16% of jobs
$35.29 - $39.71
6% of jobs
$39.71 - $44.12
3% of jobs
$44.12 - $48.54
4% of jobs
$48.54 - $52.95
3% of jobs
$52.95 - $57.36
2% of jobs
$57.36 - $61.78
2% of jobs
$13
$32
$61
How much do entry level bloomberg data analyst jobs pay per hour?
What is the difference between Entry Level Bloomberg Data Analyst vs Entry Level Financial Data Analyst?
| Aspect | Entry Level Bloomberg Data Analyst | Entry Level Financial Data Analyst |
|---|---|---|
| Required Credentials | Bloomberg certifications, basic finance or data analysis degrees | Finance, economics, or data analysis degrees; certifications vary |
| Work Environment | Financial services firms, investment banks, asset management | Financial institutions, consulting firms, corporate finance |
| Employer & Industry Usage | Heavy use of Bloomberg Terminal, real-time data analysis | Data analysis, reporting, financial modeling |
The Entry Level Bloomberg Data Analyst primarily focuses on utilizing Bloomberg Terminal data to support investment decisions, while the Entry Level Financial Data Analyst handles broader financial data analysis and reporting. Both roles require finance or data analysis backgrounds, but the Bloomberg role emphasizes real-time market data and Bloomberg-specific tools.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 4 days ago
Job description
Location
New York
Business Area
Research
Ref #
10052132
Description & Requirements
Bloomberg Intelligence (BI) delivers independent, data-driven research and interactive datasets integrated into the Bloomberg Terminal, helping investment professionals make decisions faster. With 500+ research professionals, BI provides company, credit, industry and strategy research across major global markets, covering 135+ industries and 2,000+ companies, including perspectives on company fundamentals as well as government policy, litigation and ESG. Our research and datasets are delivered through curated Terminal dashboards and interactive research decks, with underlying data typically one click away, drawing on proprietary Bloomberg sources and 600+ data contributors.
What's in it for you:
BI Associate Analyst - Technology: The Associate Analyst on the team will focus significantly on supporting the franchise with financial modeling, generating insights, writing, and conducting investment research for AI companies including Alphabet, Meta and other frontier LLM peers. The analysis will be based on company financial data, industry leading data, Bloomberg's data sets, financial models as well as issuer calls and announcements.
We'll trust you to:
• Actively contribute to the team's daily research activities (i.e. data aggregation, financial modeling, written research, idea generation)
• Monitor and interpret major company developments and identify macro themes and trends affecting industries
• Manage significant data analysis and modeling responsibilities; synthesize the results, draw conclusions and develop concise narratives that communicate the story behind the data
• Review submitted research for adherence to global quality standards
• Develop and maintain relationships with internal departments throughout Bloomberg as well as external company, industry and data professionals; participate in department-wide special projects
• Work with other data and core business groups to help develop and enhance content and functionality across the terminal
• Interact with clients via our online messaging systems
• Use generative AI, machine learning tools and automation to improve research workflows, data discovery, modeling and content development
You need to have:
• Graduated with a Bachelor's degree, preferably with a focus or concentration in Finance or related degree
• At least two years of financial market research or industry specific subject matter experience, with demonstrable research and analytical skills
• Proficient industry knowledge of the Technology sector
• A deep understanding of advanced concepts, practices and procedures of finance/accounting
• Solid experience performing quantitative financial analysis, with knowledge of companies, industries, financial statement analysis & modeling
• The ability to spot anomalies in financial data, think critically about what the data is telling you and identify when something doesn't align or make sense
• Advanced Microsoft Excel skills
• High level of curiosity and attention to detail
• Strong organization skills and capable of handling multiple projects; an ability to meet deadlines, logically tackle problems and set priorities
• Excellent written communication and presentation skills
• A commitment to enhancing and developing products
• Ability and willingness to adopt new technologies, including generative AI and automation, to build repeatable workflows, improve research efficiency and quality and support data-driven analysis.
We'd love to see:
• CFA designation and/or MBA degree, and/or graduate educational experience
• Experience using Python and/or visualization tools (i.e Power BI, Tableau, or Qlik Sense)
• Previous work experience with the Bloomberg Terminal. Let us know what your favorite functions are!
If this sounds like you:
Apply if you think we're a good match and we'll get in touch with you to let you know next steps. In the meantime, check out http://www.bloomberg.com/professional/bloomberg-intelligence/.
Salary Range = 100,000 - 120,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
About Bloomberg
Sourced by ZipRecruiter
Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Year founded
1981