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Internship Bloomberg Data Analyst Jobs (NOW HIRING)

Schonfeld

Market Data Analyst

New York, NY · On-site

$120K - $150K/yr

Manage vendor relationships (Bloomberg, LSEG, etc.), including licensing, onboarding, and cost ... Strong analytical and problem-solving skills * Deep understanding of financial data, data vendors ...

Schonfeld

Market Data Analyst

New York, NY

$120K - $150K/yr

Manage vendor relationships (Bloomberg, LSEG, etc.), including licensing, onboarding, and cost ... Strong analytical and problem-solving skills * Deep understanding of financial data, data vendors ...

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance ... Working knowledge of Morningstar, Lipper, Bloomberg or Factset an advantage * Experience working ...

S4 Market Data

Market Data Analyst

Jersey City, NJ · On-site

The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the ... Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.

S4 Market Data

Market Data Analyst

Chicago, IL · On-site

The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the ... Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.

Lord Abbett.com

Product Data Analyst

Jersey City, NJ · On-site

$120K - $140K/yr

The Product Data Analyst serves as a key contributor to the production, validation, and delivery of ... Bloomberg, FactSet, Aladdin, Yield Book, or similar financial systems experience is a plus.

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Internship Bloomberg Data Analyst information

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

As of Jul 18, 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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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:
Internship Bloomberg Data Analyst jobs near you
Technical Product Manager - Real-Time Data Technology

Technical Product Manager - Real-Time Data Technology

Bloomberg LP

New York, NY • On-site

$182K - $211K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies

Job description

Technical Product Manager - Real-Time Data Technology
Location
New York
Business Area
Product
Ref #
10052442
Description & Requirements
Bloomberg's Enterprise Data department delivers market data products trusted by the world's largest capital markets firms. Within this organization, the Real-Time Technology team powers the distribution of live market data from 300+ exchanges and 5,000+ contributors to the most demanding financial institutions globally. Our technology delivers data with the depth, breadth, reliability, and resilience on which trading desks, risk systems, and enterprise infrastructure depend.
What's in it for you
The capital markets industry is undergoing a fundamental technology shift. Firms are rethinking how they build market data platforms, moving more workloads to the cloud, modernizing legacy infrastructure, adopting API-first architectures, and exploring how AI-enabled and agent-based workflows can change the way financial professionals interact with data.
Bloomberg's Real-Time technology is at the center of this transformation - powering the modernization of trading, analytics, risk, and enterprise data platforms.
This role gives you the opportunity to work on products that operate at global scale, sit in the critical path of client workflows, and solve technical challenges few organizations encounter. Your scope will cut across the real-time market data technology stack, from infrastructure to interface, touching every layer between how data enters our platform and how clients consume it. You will partner with deeply specialized engineers, product managers, client-facing specialists, and some of the most technically sophisticated customers in financial services - developing rare fluency across infrastructure, commercial strategy, and client engagement that compounds over a career.
We are looking for a Technical Product Manager who is excited by the intersection of real-time data, distributed systems, cloud infrastructure, APIs, and developer experience. You will own critical product capabilities that leading financial institutions rely on every trading day - and help define where Bloomberg's Real-Time platform goes as the industry evolves.
We will trust you to
  • Own the roadmap for products across Bloomberg's Real-Time Technology - from delivery architecture (on-premise, hosted, cloud-native) to APIs, entitlements, monitoring, and platform controls
  • Engage directly with clients - quant developers, market data platform teams, cloud architects, front-office technologists - and translate what you learn into prioritization decisions grounded in market trends, incident patterns, commercial models, and technical constraints
  • Define how real-time Bloomberg data is consumed across evolving client architectures - from traditional market data platforms to cloud-native applications, analytics systems, and AI-enabled workflows
  • Shape requirements with Engineering and clients for high-performance, resilient, and globally scalable data distribution systems
  • Drive cross-functional delivery by partnering across Product, Sales, Engineering, and Support to design, position, ship, and continuously improve real-time solutions
  • Operate fluently across commercial, technical, and strategic conversations - translating between engineering detail, product strategy, and executive-level narrative as needed

You will need to have
  • 5+ years of experience in technical product management, solutions architecture, or software engineering - with a meaningful portion spent on infrastructure, data platforms, or real-time systems that serve external clients
  • Working knowledge of capital markets, market data, trading workflows, buy-side or sell-side technology, exchange connectivity, or financial infrastructure, including awareness of the competitive landscape
  • Track record of ramping into complex technical domains you did not build and making effective product decisions before you had complete knowledge
  • Demonstrated ability to own and drive a product roadmap end-to-end - from identifying the problem through requirements definition, cross-functional delivery, and iteration based on what you learn in production
  • Deep working knowledge of distributed systems including reasoning about throughput, latency, business continuity, resilience tradeoffs, and engage in architecture discussions with senior engineers
  • Commercial awareness, including experience with pricing considerations, deployment model tradeoffs, contractual constraints, or how product decisions affect adoption and revenue
We would love to see
  • A track record of making complex technical products easier for clients and internal teams to adopt - whether through better onboarding, clearer abstractions, developer tooling, or operational simplification
  • Hands-on experience with real-time data distribution, messaging middleware, event-driven architectures, ticker plants, market data platforms, or low-latency systems
  • Experience with cloud platforms (AWS, Azure, or GCP) combined with a clear perspective on how cloud infrastructure, AI-enabled workflows, or agent-based architectures are changing how enterprises consume and act on data - backed by something concrete (shipped product, internal strategy, published thinking, or direct experience)
  • Experience designing or managing API-driven and developer-facing products - you understand what makes an SDK, streaming interface, or platform control plane successful from the perspective of the user or application consuming it
No single candidate will be equally deep across all of these areas, however, you should recognize yourself in most of them. We use years of experience as a guide, not a gate. If you have operated as a technical product owner in a complex system domain and can demonstrate the judgment this role requires, apply - regardless of whether your background maps neatly to the bullets above.
This is a role where your decisions matter every trading day.
If you want your product decisions to show up in the critical path of global capital markets, apply. We would rather hear from someone who is excited about the role and unsure they meet every qualification than miss someone who could belong here.
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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