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Bloomberg Legal Data Analyst Jobs (NOW HIRING)

Legal Data Analyst, Applied Data Science

Austin, TX

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.

Legal Data Analyst, Applied Data Science

Austin, TX

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.

Data Reporter

Arlington, VA · On-site

$90K - $115K/yr

We tell stories by digging into Bloomberg's extensive data sources, from legal data dives to ... Search for, acquire and analyze data in pursuit of breaking and longer-term stories, with an eye ...

Data Reporter

Arlington, VA · On-site

$90K - $115K/yr

We tell stories by digging into Bloomberg's extensive data sources, from legal data dives to ... Search for, acquire and analyze data in pursuit of breaking and longer-term stories, with an eye ...

Corporate Governance Counsel

Manhattan, NY · On-site

$200 - $255/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Corporate Governance Legal team within Bloomberg's Legal Department works closely with senior ... to analyze and design corporate entity arrangements, form new entities, set up businesses and ...

Trade Compliance Officer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Legal, Compliance, and Risk Bloomberg's Legal & Compliance Department plays a critical role in ... or data-driven products and at organizations in the IT/technology industry • Demonstrated ...

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.

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.

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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Bloomberg Legal Data Analyst information

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$36

$58

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.

More about Bloomberg Legal Data Analyst jobs
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.

Legal Data Analyst, Applied Data Science

Apple

Austin, TX • On-site

Full-time

Re-posted 19 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Are you passionate about turning complex legal data into actionable insights - and leveraging AI to do it faster and smarter?
Do you thrive on uncovering patterns, trends, and anomalies that others miss - using both traditional analytics and AI-powered techniques?
Can you bridge the gap between raw data, AI capabilities, and strategic decision-making?
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.
Description
The Legal Data Analyst delivers analytical insights and ensures data readiness for AI and analytics across Legal Operations. You will leverage AI tools to accelerate your work, using AI for data profiling, anomaly detection, pattern recognition, and insight generation. You will analyze legal operations data to uncover trends, perform spend and matter analysis, build forecasting models, and prepare data for AI consumption. This role combines analytical rigor with AI fluency and deep understanding of legal operations to drive data-informed decisions.
Minimum Qualifications
4+ years of experience in data analysis, business intelligence, and analytics roles
Strong proficiency in SQL, Python, and experience with analytical and data profiling tools
Experience using AI and LLM-based tools to accelerate analytical work
Experience with statistical analysis, trend analysis, and forecasting techniques
Experience working with enterprise data systems (ERP, CRM, matter management, or similar)
Strong analytical and problem-solving skills with attention to detail
Ability to communicate analytical findings and data quality insights to technical and non-technical stakeholders
Experience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)
Deriving and defining KPIs and other business impact metrics for leadership
Preferred Qualifications
Experience with legal operations data (matter management, eBilling, CLM, document management)
Demonstrated ability to integrate AI tools into daily analytical workflows - not just experimentation, but production use
Understanding of prompt engineering techniques to get better results from AI tools
Understanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metrics
Experience with predictive analytics and forecasting models
Familiarity with data governance frameworks and data stewardship models
Experience with data quality tools (Great Expectations, Monte Carlo, or similar)
Knowledge of entity resolution concepts and master data management
Understanding of how data quality impacts AI/ML model performance
Experience in corporate legal department or professional services environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976