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Bloomberg Data Analyst Jobs (NOW HIRING)

Bloomberg, Reuters, WorldScope, MSCI, and S&P desired * Workflow analysis and Data Mart/Data Warehouse experience a plus * Solid Visio and MS Office application skills * Solid understanding of system ...

Team Leader - Process Engineering

Princeton, NJ · On-site

$108K - $141K/yr

Our Data teams work to collect, analyze, process, and publish the data which is the backbone of our iconic Bloomberg Terminal - the data which ultimately moves the financial markets! We're ...

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 ...

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

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 ...

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Bloomberg Data Analyst information

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$34K

$82.6K

$136K

How much do bloomberg data analyst jobs pay per year?

As of Jun 11, 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.

What are the entry-level jobs at Bloomberg?

Entry-level roles at Bloomberg for data analysts typically include positions such as Junior Data Analyst or Data Analyst I, which involve supporting data collection, validation, and reporting tasks. These roles often require proficiency in Excel, SQL, and data visualization tools, and may offer on-the-job training for new hires.

What is the highest paid data analyst?

The highest paid data analysts typically work in industries like finance, technology, or consulting and can earn salaries exceeding $100,000 annually, especially with advanced skills in SQL, Python, or data visualization tools. Senior or specialized roles, such as data science or analytics managers, tend to have higher compensation levels.

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, and why are they important?

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 is the starting salary at Bloomberg?

The starting salary for a Bloomberg Data Analyst typically ranges from $70,000 to $90,000 annually, depending on experience and location. Entry-level roles may also include benefits such as bonuses and health insurance, with opportunities for advancement based on performance and skills in data analysis and financial markets.

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.
More about Bloomberg Data Analyst jobs
What cities are hiring for Bloomberg Data Analyst jobs? Cities with the most 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 Bloomberg Data Analyst jobs? States with the most job openings for Bloomberg Data Analyst jobs include:
Infographic showing various Bloomberg Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Management Professional - Data Engineer - Company Financial Market Data

Senior Data Management Professional - Data Engineer - Company Financial Market Data

Bloomberg LP

Princeton, NJ • On-site

$111K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Senior Data Management Professional - Data Engineer - Company Financial Market Data
Location
Princeton
Business Area
Data
Ref #
10048980
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 3+ 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