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Bloomberg Legal Data Analyst Jobs (NOW HIRING)

Bloomberg LP

Associate Antitrust Counsel

New York, NY · On-site

The Global Antitrust and Competition team provides legal advice for all of Bloomberg's businesses ... financial data and other information, research, analytics, electronic trading systems for ...

1 point system

Data Scientist(Analyst)

New York, NY · Remote

This role works closely with legal, compliance, and investigations teams to manage, analyze, and prepare data for internal investigations, litigation, and regulatory matters. The role focuses on ...

S4 MarketData LLC

Market Data Analyst

Chicago, IL · On-site

Interact with the client's various internal stakeholders and business units; technology, legal ... Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.

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How much do bloomberg legal data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for bloomberg legal data analyst in the United States is $36.24, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $41.83 per hour, depending on experience, location, and employer.

What does a Bloomberg Legal Data Analyst do?

A Bloomberg Legal Data Analyst is responsible for collecting, analyzing, and interpreting legal data to support Bloomberg’s products and clients. They work with large datasets from court filings, legal documents, and regulatory sources to extract meaningful insights and ensure data accuracy. Their work supports legal research tools, analytics platforms, and news services, helping legal professionals make informed decisions. The role requires strong analytical skills, attention to detail, and familiarity with legal terminology and processes.

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

To thrive as a Bloomberg Legal Data Analyst, you need a strong background in legal research, data analysis, and an understanding of financial markets, typically supported by a degree in law, finance, or a related field. Familiarity with Bloomberg Terminal, legal research databases (such as LexisNexis or Westlaw), and data visualization tools like Excel or Tableau is essential. Attention to detail, critical thinking, and strong communication skills help you interpret complex legal data and present findings clearly to stakeholders. These skills are crucial to ensure accurate legal data analysis, support decision-making, and maintain Bloomberg's reputation for reliable information.

What are the typical challenges faced by a Bloomberg Legal Data Analyst when working with large volumes of legal documents?

As a Bloomberg Legal Data Analyst, one of the main challenges is efficiently managing and standardizing vast amounts of complex legal information from various sources. Analysts must ensure accuracy and consistency while quickly interpreting legal terminology and nuances. Additionally, collaborating with colleagues in data, technology, and legal teams is crucial to resolve ambiguities and maintain data quality. Staying up to date with changing legal standards and adapting workflows accordingly also forms a significant part of the role.

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

AspectBloomberg Legal Data AnalystBloomberg Data Analyst
Required CredentialsBachelor's in Law, Finance, or related field; familiarity with legal databasesBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentLegal departments, law firms, financial institutionsFinancial services, investment firms, data-driven departments
Employer & Industry UsageLegal and financial sectors using Bloomberg terminals for legal data analysisFinancial industry analyzing market data, investments, and trends

The Bloomberg Legal Data Analyst focuses on legal data within financial contexts, requiring legal knowledge and familiarity with legal databases. In contrast, the Bloomberg Data Analyst works broadly with financial and market data, emphasizing quantitative analysis. Both roles utilize Bloomberg terminals but serve different industry needs and skill sets.

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Bloomberg Legal Data Analyst jobs near you
Infographic showing various Bloomberg Legal Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,376 per year, or $36.2 per hour.

Financial Data Analyst

MARS Solutions Group

Boston, MA • On-site

Contractor

Re-posted 8 days ago

Job description


MARS Solutions Group is looking for an experienced Data Analyst located in Boston MA. Our client is a leading independent asset management firm looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability.

We are seeking a highly detail-oriented and experienced Data Analyst for a critical data transformation project. This role focuses on the migration of Benchmark (Index) and Security/Issuer Master data from a legacy system to a new data platform.

Unlike a pure engineering role, this position requires a high degree of business knowledge. The ideal candidate understands the complexities of financial reference data and can bridge the gap between technical migration and business utility. You will be responsible for ensuring the integrity of our data through rigorous cleanup, reconciliation, and UAT.

Responsibilities

  • Data Analysis & Cleanup:
    • Analyze large datasets of security and benchmark data (Equities, Fixed Income, Derivatives, Indices) to identify gaps, duplicates, and inconsistencies prior to migration.
    • Perform root-cause analysis on bad data and execute manual or bulk cleanup procedures.
    • Map data attributes between the legacy source system and the target platform, ensuring accurate translation of business logic.
  • Testing & Validation:
    • Lead the reconciliation process between the old and new platforms to ensure data parity.
    • Design and execute detailed test cases for security setup, pricing feeds, and benchmark composition.
    • Identify, log, and track data defects; work closely with the technical implementation team to resolve migration errors.
  • Business Support & Documentation:
    • Validate that the new platform meets the consumption needs of downstream systems and consumers.
    • Develop and document new processes and operational workflows.
    • Document data dictionaries, exception handling procedures, and operational controls.
    • Act as a subject matter expert (SME) for business users during the transition period.

Candidate

We are seeking a highly motivated Operations Analyst who can work independently on complex processes. The ideal candidate will have knowledge of financial products and valuation coupled with a strong background in data management, including experience with SQL, PowerApps, and Python.

Required Qualifications

  • Bachelor’s degree in Finance, Economics, or a related field
  • 5+ years of experience in Data Operations, Data Governance, or Investment Operations within an Asset Manager or Hedge Fund.
  • Deep understanding of financial instruments (Equities, Bonds, Futures, Options) and Reference Data (Issuers, Corporate Actions, Ratings, Classifications).
  • Familiarity with major index providers (e.g., MSCI, S&P, Bloomberg, FTSE) and how benchmark data is structured (constituents, weights, returns).
  • Advanced Excel proficiency (VLOOKUP, Pivot Tables) is required. Proficiency in SQL for data querying and analysis is highly preferred.

Preferred Qualifications

  • Familiarity with accounting and valuation of various asset classes including structured products and derivatives
  • Experience with Accounting and Trading Systems; APX, CRD, Bloomberg
  • Experience with major EDM (Enterprise Data Management) platforms (e.g., GoldenSource, IHS Markit/S&P EDM, SimCorp).

About MARS Solutions Group:
MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.