Senior Data Analyst - Private Equity

Job Description

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.Our Team:Whether you are a fund investor, manager or advisor, Bloomberg has the data, solutions, and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments Data team is made up of Market Specialists and Technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO, and all the data in between.What's the role?The Alternative Investment Funds Automation team is looking for a highly motivated individual with an interest in Finance, Data, and Technology to support Bloomberg's Private Equity dataset. You will be the in-house consumer of our data product by supporting the group's industry authorities and technologists with premium content delivery, insight generation, and collaboration with a wide range of partners across the organization to support any internal and external client demand for our data.We'll trust you to:Ensure timely and accurate delivery of premium content for Bloomberg's private equity productGain deep knowledge of the private equity dataset and the end-to-end processes involved in how our data product is createdUse domain expertise to help Account Managers, Technical Specialists, and Product Managers to better understand our clients' data needs, key market trends, and gaps in our datasetLead and expand relationships with a wide range of products partners across the organization (News, Research, Engineering, etc.) who consume our data

Responsibilities + Skills

Deep understanding of private financial markets and the investment lifecycleStrong interest in M&A and financial markets more broadlyAbility to think critically and creatively about new ways our data can add value to our clientsAbility to handle and prioritize multiple client queries and projects simultaneouslyExcellent written and verbal communication skills, especially when articulating your ideas to diverse audiences

Education

A Bachelor's degree or higher in relevant data technology or financial field, or equivalent professional work experience4+ years of work experience in the Financial Services industry, including exchanges, market data providers, consultancies, institutional investors, private equity, credit firms, or financial institutions

Experience

Job Summary

  • Published on: Monday, 20th May 2024
  • Designation: Senior Data Analyst - Private Equity
  • industry: information technology
  • Vacancy: 1
  • Employment Status: Full-time
  • Job Location: San Antonio, TX
  • Salary: 0
  • Gender:
  • Application Deadline: Monday, 20th May 2024

About the Company

  • Company Name: Bloomberg L.P..
  • Address:
  • Website: https://www.bloomberg.com/
  • Company Profile:
  • BMQ (Bloomberg Message Queues) - a clustered queue based messaging solution for Bloomberg providing high performance and high-reliability. BMQ significantly outperforms popular open source MQ systems and is designed with high resiliency at the core.DMP (Data Mapping) - a high-performance pub/sub system for real-time data models, used by a large number of functions in the Bloomberg Terminal (instant messaging, market data, etc.).MBUS (Message Bus) - a very-high-performance, low-latency pub/sub system used by hundreds of server-side applications including many mission-critical systems. MBUS uses a combination of TCP, UDP and multicast (PGM) and scales up to millions of messages per second on a typical Linux box.Together they form a software infrastructure designed for creating large-scale, fault-tolerant applications that run on thousands of machines throughout the world. With many clients depending on our infrastructure solutions, we are looking to grow the MOM team.

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