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Internship Bloomberg Data Analyst Jobs (NOW HIRING)

The analyst partners closely with traders to understand how platforms are used in practice and ... Respond to one-off Bloomberg data, access, or functionality requests from Trading. * Support ...

... with Bloomberg data is a big plus. • Previous experience with reinsurance industry is a huge plus. • In-depth understanding of various Fixed Income instruments and their analytics ...

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How much do internship bloomberg data analyst jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship bloomberg data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Bloomberg Data Analyst vs Bloomberg Data Analyst?

AspectInternship Bloomberg Data AnalystBloomberg Data Analyst
Required CredentialsCurrently enrolled students or recent graduates, often pursuing degrees in finance, economics, or data analysisBachelor's or master's degree in relevant fields, with some roles preferring certifications like CFA or data analysis certifications
Work EnvironmentInternship programs, often part-time or summer roles, with mentorship and trainingFull-time professional role within Bloomberg, involving ongoing projects and responsibilities
Employer & Industry UsageInternship positions offered by Bloomberg, targeted at students for training and potential future employmentFull-time analyst roles at Bloomberg, focused on data analysis, financial markets, and client support

The Internship Bloomberg Data Analyst is a temporary, training-focused role aimed at students or recent graduates, while the Bloomberg Data Analyst is a full-time position requiring more experience and responsibility. Both roles involve data analysis within the financial industry, but differ in scope, experience level, and career stage.

What cities are hiring for Internship Bloomberg Data Analyst jobs? Cities with the most Internship Bloomberg Data Analyst job openings:
What are the most commonly searched types of Bloomberg Data Analyst jobs? The most popular types of Bloomberg Data Analyst jobs are:
What states have the most Internship Bloomberg Data Analyst jobs? States with the most job openings for Internship Bloomberg Data Analyst jobs include:
Data Quality Analyst - Enterprise Data

Data Quality Analyst - Enterprise Data

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Data Quality Analyst - Enterprise Data
Location
New York
Business Area
Product
Ref #
10048632
Description & Requirements
We are Bloomberg Data Quality Analytics - fast paced, innovative and expanding! We partner closely with our clients, taking time to understand their unique businesses and individual data and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling enables our clients to get exactly the data they need, when they need it, in the format they prefer. Put simply, our award-winning data contributes to the efficiency and transparency of the capital markets.
We are looking for a Product Analyst in Enterprise Data to closely interact and work with various stakeholders to be the gatekeeper and ensure the data quality for product development, launch and enhancement. You will use your quantitative skills, knowledge of finance, and technical skills to conduct data analysis for our most innovative products. This includes, but is not limited to reference & pricing, company fundamentals, sustainable finance solutions, risk & investment analytics products and other Bloomberg Data License products.
We'll trust you to:
- Perform data analysis on a large scale of datasets
- Prepare exploratory data analysis including statistical and visual summaries, assess data and product quality, identify product weakness, and propose potential enhancements.
- Communicate results to product managers and software developers
- Collaborate with Product, Engineering and Sales teams on product delivery, task prioritization and product roadmap
- Answer client questions and address client feedback in product enhancements/bug fixes
- Conduct product usage analysis to improve data product offerings
- Contribute to scaling team activities through automation like monitoring daily production data generation.
You'll need to have:
- 3+ years of experience working in analytical fields such as data science, quantitative analysis, data visualization, data mining, anomaly detection and data validation
- Bachelor's or Master's degree in a quantitative discipline (Financial Engineering, Statistics, Computer Science, Finance, Engineering, etc)
- Financial knowledge in different asset classes like equities, fixed income, mortgages, munis, futures, options and ect.
- Attention to data integrity
- Programming skills in Python and SQL
- Statistics and mathematical knowledge to perform quantitative analysis
- Experience gathering, matching, and pre-processing large data sets from varied sources and of different characteristics
-Working experience with clients , business managers or product managers in identifying their needs and taking proactive steps to effectively communicate project processes.
Salary Range = 110,000 - 225,000 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.
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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