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Bloomberg Data Analyst Jobs (NOW HIRING)

Bloomberg LP

Team Lead - Enterprise AI

New York, NY · On-site

ASKB has quickly become a primary conversational interface for Bloomberg Terminal users - letting users interact with Bloomberg's data, analytics, news and applications in natural language, powered ...

New

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 ...

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 ...

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.

New York Life

Investment Data Analyst

Jersey City, NJ · Hybrid

Hands-on experience supporting performance and risk-based platforms such as FactSet, Bloomberg, or Aladdin * Expertise in crafting advanced SQL queries for comprehensive data analysis * Ability to ...

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Bloomberg Data Analyst information

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How much do bloomberg data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for bloomberg data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Bloomberg Data Analyst typically collaborate with other teams to ensure data accuracy and relevance?

As a Bloomberg Data Analyst, you’ll work closely with cross-functional teams such as engineering, product management, and sales to validate data sources, resolve discrepancies, and tailor datasets to client needs. Regular communication is essential, as you’ll often need to clarify data requirements and address stakeholder feedback. This collaborative environment ensures data integrity and supports the development of innovative financial products, making strong interpersonal and project management skills highly valuable in this role.

What are the key skills and qualifications needed to thrive as a Bloomberg Data Analyst?

To thrive as a Bloomberg Data Analyst, you need strong analytical skills, quantitative expertise, and a solid understanding of financial markets, often supported by a degree in finance, economics, or a related field. Familiarity with the Bloomberg Terminal, data visualization tools, and programming languages like Python or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate data analysis, actionable reporting, and valuable contributions to data-driven decision-making in the financial industry.

What are the entry-level jobs at Bloomberg Data Analyst?

Entry-level roles for a Bloomberg Data Analyst typically include positions such as Data Analyst Intern, Junior Data Analyst, or Associate Data Analyst. These roles often require basic skills in data management, Excel, and familiarity with Bloomberg Terminal tools, and may involve supporting senior analysts or handling routine data tasks.

What does a Bloomberg Data Analyst do?

A Bloomberg Data Analyst is responsible for collecting, analyzing, and interpreting financial data to support decision-making within organizations. They work with Bloomberg Terminal and other financial tools to gather real-time data, process large datasets, and generate reports on market trends, company performance, and economic indicators. Their insights help clients and stakeholders make informed investment and business decisions. Additionally, they may collaborate with other teams to maintain data quality and develop new data solutions.
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Bloomberg Data Analyst jobs near you
Infographic showing various Bloomberg Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

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

Re-posted 12 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 244 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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