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Internship Bloomberg Data Analyst Jobs (NOW HIRING)

ConnectPrep

Data Analyst Internship

Boston, MA · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Boston, MA · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

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

As of May 31, 2026, the average hourly pay for internship bloomberg data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

AspectInternship Bloomberg Data AnalystBloomberg Data Analyst
Required CredentialsCurrently enrolled students or recent graduates, often pursuing degrees in finance, economics, or data analysisBachelor's or master's degree in relevant fields, with some roles preferring certifications like CFA or data analysis certifications
Work EnvironmentInternship programs, often part-time or summer roles, with mentorship and trainingFull-time professional role within Bloomberg, involving ongoing projects and responsibilities
Employer & Industry UsageInternship positions offered by Bloomberg, targeted at students for training and potential future employmentFull-time analyst roles at Bloomberg, focused on data analysis, financial markets, and client support

The Internship Bloomberg Data Analyst is a temporary, training-focused role aimed at students or recent graduates, while the Bloomberg Data Analyst is a full-time position requiring more experience and responsibility. Both roles involve data analysis within the financial industry, but differ in scope, experience level, and career stage.

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Team Leader - Annotations Operations and Governance

Team Leader - Annotations Operations and Governance

Bloomberg LP

Princeton, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Team Leader - Annotations Operations and Governance
Location
Princeton
Business Area
Data
Ref #
10049470
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 - all while providing customer support to our clients.
Our team:
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while contributing deep financial domain expertise to the development of AI-powered products. We partner closely with stakeholders to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that enhance the capabilities and competitiveness of Bloomberg's offerings.
What's the role?
We are seeking a Team Lead to own and scale Bloomberg's annotation function across AI and data initiatives, with responsibility for Annotation Operations and Annotation Standards & Governance. This role leads two tightly coupled but distinct capabilities: (1) governing canonical annotation standards and judgment frameworks, and (2) applying those standards at scale through operational execution, quality control, and continuous improvement.
The Team Lead will operate annotation as a shared service across our Data AI teams. They will ensure that centrally defined standards: schemas, labels, ambiguity frameworks, and calibration rules, are consistently and correctly applied in production through SME-driven workflows, vendor execution, and robust operational controls.
The ideal candidate is a technically grounded, systems-oriented leader who understands how annotated data shapes AI model behavior and evaluation outcomes. You are comfortable operating at scale while exercising strong technical judgment, enforcing standards, interpreting ambiguity, and using metrics to detect drift, diagnose failure modes, and continuously improve data quality.
In this role, you will help build a durable, repeatable annotation capability that produces correct, consistent, and reproducible data over time, supporting training, evaluation, monitoring, and production AI systems.
We'll trust you to:
  • Lead and develop a team responsible for operating and governing Bloomberg's AI data annotation capability, delivering consistent, high-quality data through strong technical judgment and clear standards.
  • Own annotation operations end-to-end, translating schemas and judgment frameworks into scalable workflows with measurable quality.
  • Establish governance and quality mechanisms, including calibration, agreement analysis, and drift detection, that ensure consistent interpretation of standards.
  • Partner closely with AI, Data, and Platform teams to align annotation outputs with production needs and downstream model requirements.
  • Ensure operational strength at scale, including workforce strategy, vendor oversight, capacity planning, and service reliability.
  • Drive continuous improvement through metrics, feedback loops, and root-cause analysis.
  • Act as steward of judgment integrity, maintaining high agreement and durable decision-making frameworks as models and domains evolve.

You'll need to have:
  • Prior people leadership experience, including leading operational or program-focused teams.
  • Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment.
  • Strong understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection.
  • Proven experience running large-scale annotation or data operations with vendor and SME workforces.
  • Ability to enforce centrally defined standards while maintaining consistency at scale.
  • Excellent cross-functional leadership skills and comfort operating in ambiguity-rich environments.
  • Strong program leadership capability, with a focus on measurable outcomes and continuous improvement.
  • Bachelor's or Master's degree in a relevant field, or equivalent practical experience.

We'd love to see:
  • Experience supporting ML training, evaluation, or monitoring pipelines.
  • Familiarity with annotation platforms, QA tooling, and data instrumentation.

Salary Range = 135,000 - 230,000 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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