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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 ...

Axelon

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Senior Data Analyst (Hybrid) We are seeking a highly motivated and detail-oriented Reference Data ... Validate and reconcile data between Bloomberg, CRD, GoldenSource, Eagle, and internal systems to ...

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How much do bloomberg data analyst jobs pay per year?

As of Jul 2, 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, 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 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
Product Management Lead, Data Activation - CTO Office

Product Management Lead, Data Activation - CTO Office

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

11th of 202 rated software companies

Job description

Product Management Lead, Data Activation - CTO Office
Location
New York
Business Area
Engineering and CTO
Ref #
10047855
Description & Requirements
Who We Are / The Team
Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do.
At Bloomberg, we put our users first. The world is always changing, and so are the ways people interact with data. We need product leaders who thrive in dynamic environments - building products and platforms that power global financial markets and enable innovation across industries.
The Data Activation group, part of the Data & Analytics division in the Office of the CTO, is responsible for connecting Bloomberg's data systems to customer outcomes, both internal and external. This pillar brings together data, AI, APIs, and developer experience to ensure that Bloomberg's vast data assets can be discovered, accessed, and activated seamlessly. Our remit spans integrations with the Bloomberg Terminal, first- and third-party API platforms, external developer ecosystems, AI/ML applications, and BQL (Bloomberg's query language) that enables programmatic access to data.
About the Role
We're seeking a Product Management Lead to head the Data Activation pillar - a senior leadership role within the Data & Analytics group, reporting into the CTO organization. This leader will manage a multidisciplinary team of product managers, data scientists, technical writers, and developer relations professionals focused on enabling data-driven innovation and empowering customers - both inside and outside Bloomberg - to build on top of our data.
You'll define and execute a product strategy that connects Bloomberg's internal data capabilities to real-world user experiences and outcomes. From shaping APIs and programmatic interfaces, to enabling AI and analytics use cases, to empowering external developers - you'll drive the "last mile" of data activation across the company's most strategic surfaces.
This is a unique opportunity to build and scale a product function that sits at the intersection of data, AI, and developer experience, influencing how Bloomberg delivers data intelligence to the world.
We'll Trust You To
  • Define and deliver a compelling product vision and roadmap for how Bloomberg's data is activated and experienced - across APIs, the Terminal, AI platforms, and developer ecosystems.
  • Lead and mentor a high-performing team of product managers, developer advocates, and data-focused specialists - fostering a culture of customer obsession, technical excellence, and collaboration.
  • Partner across engineering, AI research, and product teams to align on strategy and deliver seamless data access experiences that serve diverse user personas (developers, quants, analysts, researchers).
  • Drive innovation in programmatic data access through BQL, APIs, SDKs, and integrations - enabling customers to embed Bloomberg data in their own workflows and applications, including emerging agentic AI use cases.
  • Shape the external developer strategy, in partnership with engineering and business stakeholders, to extend the reach and impact of Bloomberg's data platform through robust tools, documentation, and engagement programs.
  • Define success metrics and KPIs, using data-driven insights to prioritize, measure adoption, and continuously improve the developer and data activation experience.
  • Stay ahead of industry trends in data APIs, AI/ML integration, developer platforms, and data monetization to ensure Bloomberg remains at the forefront of data innovation.

You'll Need To Have
  • Bachelor's degree or equivalent practical experience.
  • 10+ years of experience in product management or related technical leadership roles, ideally within data, platform, or developer ecosystems.
  • 5+ years of experience managing product teams and leading cross-disciplinary groups.
  • Proven experience launching and scaling API or data platform products serving developers, analysts, or AI/ML practitioners.
  • Strong understanding of data systems, APIs, and developer workflows, including knowledge of query languages and programmatic data access patterns.
  • Exceptional ability to translate complex data and infrastructure capabilities into intuitive user-facing solutions.
  • A track record of customer-centric product thinking and delivering outcomes that drive measurable impact.
  • Excellent communication and collaboration skills, with the ability to align technical and business stakeholders around a shared vision.

We'd Love To See
  • Master's degree in a technical or business-related field.
  • Experience building or scaling developer platforms or ecosystems.
  • Familiarity with AI/ML tools, APIs, and applied data products.
  • Background in data science, data engineering, or software development.
  • Demonstrable knowledge of financial markets
  • Deep curiosity about how data, AI, and APIs combine to unlock new possibilities for customers and the broader developer community.

Salary Range = 235,000 - 350,000 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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