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Bloomberg Data Analyst Jobs (NOW HIRING)

TIAA

Reference Data Analyst

Iselin, NJ · On-site

$116K - $188K/yr

This role requires strong analytical thinking, ownership, and the ability to collaborate ... Validate and reconcile data across Bloomberg, CRD, Golden Source, Eagle, and internal systems to ...

Inizio Partners

Data Analyst

Jersey City, NJ · On-site

Should be independently able to conduct data analysis on results produced by financial models ... Knowledge of other investment-related software and tools (Bloomberg, Aladdin etc.) is preferred.

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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.

Product Manager, Quantitative Data Solutions

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 hours 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

Product Manager, Quantitative Data Solutions
Location
New York
Business Area
Product
Ref #
10053033
Description & Requirements
Macro and Commodity Research Data
Bloomberg is building a comprehensive suite of normalized, linked and point-in-time datasets for quantitative, systematic and quantamental investment research. The portfolio brings together company fundamentals, estimates, pricing, supply-chain relationships, industry and segment-level data, macroeconomic indicators, commodity supply and demand data, and alternative data through interoperable products designed for research and production workflows.
We are establishing a new Macro and Commodity Research Data vertical and are looking for an experienced Product Manager to help build and develop its product portfolio.
This role requires an understanding of FX, Rates or commodity markets, the data used to analyse them, and the workflows through which investment managers turn data into signals, forecasts, portfolio decisions and risk views. The successful candidate will also understand how AI, modern research tools and data infrastructure are changing the way clients discover, evaluate and consume financial data.
You will work on products spanning areas such as economic releases, auctions, prediction markets, macro risk factors, commodity supply & demand, physical flows, positioning, outages and other market-relevant datasets. You will help identify where Bloomberg can create differentiated client value, translate research workflows into product requirements and support the commercial development of the portfolio.
The Research Data business is an important part of Bloomberg Enterprise Data's growth strategy. Our objective is to solve complex research and data-management problems for quantitative, systematic and fundamental investment teams, while making Bloomberg data easier to discover, evaluate, integrate and use across client workflows.
We will trust you to
  • Own the development and ongoing management of products within the Macro and Commodity Research Data portfolio, from initial opportunity assessment through launch, adoption and continued enhancement.
  • Develop strong subject-matter expertise in relevant macroeconomic or commodity datasets and understand how they are used across systematic macro, commodities, multi-asset and fundamental investment workflows.
  • Work with clients, including researchers, portfolio managers, analysts, data scientists and data engineers, to understand their workflows, identify unmet needs and validate proposed solutions.
  • Translate client and market requirements into clear product specifications, including requirements for point-in-time integrity, historical depth, timestamps, revisions, identifiers, metadata, lineage, accessibility and interoperability.
  • Evaluate new product opportunities by considering client demand, competitive differentiation, market size, revenue potential, development effort and strategic fit.
  • Contribute to commercial strategy, including client segmentation, product positioning, packaging, pricing and monetisation.
  • Develop business cases for new products and enhancements, using client evidence, market analysis, expected adoption and commercial potential to support investment decisions.
  • Define product objectives and success measures, monitor adoption and usage, and use evidence to recommend changes to the product roadmap.
  • Manage product priorities, specifications and backlogs, balancing new development, product quality, technical investment and client commitments.
  • Collaborate with data, engineering, sales, implementation, support and other product teams to deliver products and resolve execution risks.
  • Ensure that products meet the needs of sophisticated research and production workflows, including use through APIs, cloud platforms, programming languages and other enterprise delivery channels.
  • Work with adjacent Bloomberg teams to improve consistency and interoperability across macro, commodity, pricing, reference and alternative data.
  • Support sales and client-facing teams with product expertise, market context, demonstrations and clear articulation of product value.
  • Monitor developments in macroeconomic and commodity markets, quantitative investment research, AI-enabled workflows, financial data infrastructure and the competitive data landscape.

You will need to have
  • A minimum of five years' experience in product management, financial data, investment research, quantitative research, data analysis or a related role.
  • Knowledge of macroeconomic or commodity markets, preferably including experience with one or more of the following: economic indicators, surveys, government auctions, rates, foreign exchange, futures, energy, metals, agriculture, commodity balances, physical flows, positioning or alternative data.
  • Familiarity with quantitative, systematic or data-driven investment research, including how datasets are evaluated, combined and used in signal development, forecasting, backtesting or portfolio analysis.
  • Experience gathering client or user requirements and translating complex workflows into clear product or technical specifications.
  • Commercial judgement and an understanding of how product value is converted into adoption and revenue through effective positioning, packaging and pricing.
  • Strong analytical and problem-solving skills, including the ability to assess market opportunities, evaluate trade-offs and make evidence-based recommendations.
  • The ability to manage multiple priorities and coordinate delivery across product, data, engineering, sales and support functions.
  • Strong written and verbal communication skills, with the ability to explain complex data and market concepts to technical and non-technical audiences.
  • Familiarity with modern data platforms, APIs and cloud-based data delivery.
  • Working proficiency in Python, R, SQL or another language commonly used in data analysis, quantitative research or data engineering.
  • A bachelor's degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, engineering, business or a related discipline.

We use years of experience as a guide and will consider candidates who can demonstrate the domain expertise, product judgement, commercial awareness and technical capabilities required for the role.
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.
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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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