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How much do bloomberg intelligence jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for bloomberg intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What is Bloomberg Intelligence?

Bloomberg Intelligence (BI) is a research platform within Bloomberg that provides in-depth analysis, data, and insights on industries, companies, and global markets. It supports investment professionals by offering timely, comprehensive research and analytics to help them make informed decisions. BI covers a wide range of sectors and asset classes, delivering actionable information through the Bloomberg Terminal. Its analysts are experts in their fields, combining data-driven research with industry knowledge.

How does a Bloomberg Intelligence analyst collaborate with other departments, and how does this affect daily responsibilities?

Professionals in Bloomberg Intelligence frequently collaborate with sales, product, and technology teams, as well as external clients. This cross-functional teamwork ensures that research insights are aligned with client needs and market trends, and often requires adapting complex information for varied audiences. Daily responsibilities may include preparing sector reports, communicating findings to internal stakeholders, and responding to real-time data requests. This collaborative environment fosters a dynamic workflow and helps analysts develop a broad skill set, positioning them well for future advancement within Bloomberg.

What are the key skills and qualifications needed to thrive as a Bloomberg Intelligence analyst?

To thrive as a Bloomberg Intelligence Analyst, you need a solid background in financial analysis, industry research, and often a degree in finance, economics, or a related field. Proficiency with financial modeling tools, Bloomberg Terminal, Excel, and data visualization platforms is typically required, alongside certifications like CFA being advantageous. Analytical thinking, strong written and verbal communication, and the ability to distill complex data into actionable insights set top performers apart. These skills ensure accurate, timely, and impactful research that helps clients make informed investment decisions.

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

AspectBloomberg IntelligenceBloomberg Data Analyst
CredentialsTypically requires finance, economics, or related degrees; certifications like CFA are commonRequires strong analytical skills, proficiency in data tools, and often a degree in finance, economics, or computer science
Work EnvironmentResearch-focused, analytical, often in a team setting within financial servicesData processing, analysis, and reporting in a fast-paced financial environment
Employer & Industry UsageUsed by financial analysts, investors, and corporate clients for research and insightsUsed by financial firms, investment banks, and asset managers for data management and analysis

Bloomberg Intelligence primarily provides in-depth research and analysis on industries, companies, and markets, while Bloomberg Data Analysts focus on managing and analyzing financial data to support decision-making. Both roles are integral to financial services but differ in their core functions and skill sets.

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What cities are hiring for Bloomberg Intelligence jobs?

Cities with the most Bloomberg Intelligence job openings:

What states have the most Bloomberg Intelligence jobs?

States with the most job openings for Bloomberg Intelligence jobs include:

Infographic showing various Bloomberg Intelligence job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 73% In-person, 11% Hybrid, and 16% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Senior Data Management Professional - Company Financial Market Data

Princeton, NJ • On-site

Bloomberg LP
Finance and Insurance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Senior Data Management Professional - Company Financial Market Data
Location
Princeton
Business Area
Data
Ref #
10053453
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
Our Team:
The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data. We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.
What's the role?
The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.
We'll trust you to:
* Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
* Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
* Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
* Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
* Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
* Develop interconnected data models that enable analysis across datasets and develop statistical analysis.
You'll need to have:
* Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
* Demonstrated experience working with Python in development or production environment
* Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
* Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
* Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
* Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
* Demonstrated continuous career growth within an organization
* Excellent written and verbal communication skills
We would love to see:
* Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
* Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
* Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
* Experience designing optimal database structures
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Salary Range = 110,000 - 190,000 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