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Internship Bloomberg Data Analyst Jobs (NOW HIRING)

Tidal Financial Group

Bloomberg Systems Associate

$85K - $125K/yr

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 ...

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

As of Aug 15, 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.

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Product Manager - Third Party Data | Enterprise Data

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 244 rated software companies

Job description

Product Manager - Third Party Data Enterprise Data
Location
New York
Business Area
Product
Ref #
10052623
Description & Requirements
We are Bloomberg Enterprise Data - fast paced, innovative, and growing. We partner closely with our clients to understand their businesses, data requirements, and financial technology needs. Our broad range of datasets, delivery channels, APIs, and cloud-enabled solutions enables clients to access the data they need, when they need it, and in the format that best supports their workflows.
Third-party data is a growth lever for Enterprise Data. Selectively sourcing and integrating external datasets enriches Bloomberg's data products, closes coverage and quality gaps, and creates new client value. This role sits at the intersection of content strategy, data sourcing, and commercial partnerships.
We are seeking a Product Manager to grow Bloomberg's Enterprise Data business through third-party data. You will identify priority datasets from external providers, evaluate their fit and commercial case, and lead their integration into Bloomberg data products to drive growth.
We'll Trust You To
• Identify and prioritise third-party datasets that enrich Bloomberg's data products and address client evolving needs.
• Build the business case for each dataset - client demand, commercial model, build-versus-buy, and integration cost.
• Evaluate providers on coverage, quality, licensing terms, and delivery, and lead commercial and partnership discussions alongside relevant teams.
• Define how third-party data is linked, normalized, and integrated with Bloomberg's data estate.
• Partner with clients to validate demand and shape requirements.
• Work with Sales and Marketing to drive adoption and attain commercial outcomes.
• Manage specification, prioritization, and backlog through an agile process across Data, Engineering, Legal, and Client Solutions.
You'll Need to Have
• 5+ years in product management or market experience within financial data, analytics, or investment technology.
• Experience delivering product outcomes through an agile process with cross-functional stakeholders.
• Excellent communication and negotiation skills.
• Understanding of how enterprise clients identify and evaluate datasets.
• Commercial judgement on dataset prioritization, build-versus-buy, and content economics.
• Familiarity with data licensing, entitlements, and partnership structures.
• Working knowledge of AI, automation, and agentic approaches applied to data products.
• Ability to travel as needed.
We'd Love to See
• Experience in data acquisition, vendor management, or partnerships with data providers.
• Knowledge of the alternative data landscape and provider ecosystem.
• Proficiency with Python, SQL, or other data science tools.
• Experience with cloud-based data delivery, data marketplaces, or modern enterprise data platforms.
Salary Range = 140,000 - 295,000 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.

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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

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