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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 ...

Seven Seven Software

Data Analyst

Newark, NJ · On-site

... with Bloomberg data is a big plus. • Previous experience with reinsurance industry is a huge plus. • In-depth understanding of various Fixed Income instruments and their analytics ...

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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.
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Bloomberg Data Analyst jobs near you
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.
Applied Data Analyst - Data Quality Analytics

Applied Data Analyst - Data Quality Analytics

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Applied Data Analyst - Data Quality Analytics
Location
New York
Business Area
Product
Ref #
10048633
Description & Requirements
We are Bloomberg Enterprise Data - fast paced, innovative and expanding! We partner closely with our clients, taking time to understand their unique businesses and individual data and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling enables our clients to get exactly the data they need, when they need it, in the format they prefer. Put simply, our award-winning data powers the capital markets.
We are looking for a Product Analyst in Enterprise Data to closely interact and work with various stakeholders to be the gatekeeper and ensure the data quality for product development, launch and enhancement. You will use your quantitative skills, knowledge of finance, and technical skills to conduct data analysis, anomaly detection for our most innovative products. This includes, but is not limited to reference & pricing, company fundamentals, sustainable finance solutions, Risk & Investment analytics products and other Bloomberg Data License products.
We'll trust you to:
  • Conduct time series data anomaly detection for patterns in existing product, provide solution to detect abnormal trending in data (for example coverage drop, missing value, data change and ect), back testing model performance
  • Prepare exploratory data analysis including statistical and visual summaries, assess data and product quality, identify product weakness, and propose potential enhancements.
  • Communicate results to product managers and software developers
  • Collaborate with product, engineering and sales teams on product delivery, task prioritization and product roadmap
  • Answer client questions and address client feedback in product enhancements/bugfixes
  • Conduct product usage analysis to improve data product offerings
  • Contribute to scaling team activities through automation like monitoring daily production data generation.

You'll need to have:
  • 3+ years of experience working with model development for time series data anomaly detection
  • Bachelor's or Master's degree in quantitative discipline (financial engineering, statistics, computer science, finance, engineering, etc)
  • Hands on experience in analytical fields such as data science, quantitative analysis, data visualization, data mining, anomaly detection and data validation
  • Financial knowledge in different asset classes like equity, fixed income, mortgages, muni, futures, options
  • Attention to data integrity
  • Programming skills in Python and SQL
  • Statistics and mathematical knowledge to perform quantitative analysis
  • Experience gathering, matching, and pre-processing large data sets from varied sources and of different characteristics

Would love to see:
  • Experience working with clients, business managers or product managers in identifying their needs and taking proactive steps to effectively communicate project processes

Salary Range = 110,000 - 225,000 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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