Bloomberg · 3 days ago

Senior Data Analyst - Private Equity

New York, NY

Full-time

Onsite

Senior Level

$85K/yr - $105K/yr

4+ years exp

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AnalyticsBusiness Information Systems

Comp. & Benefits

Insider Connection @Bloomberg

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Responsibilities

Ensure timely and accurate delivery of premium content for Bloomberg's private equity product

Gain deep knowledge of the private equity dataset and the end-to-end processes involved in how our data product is created

Use 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 dataset

Lead and expand relationships with a wide range of products partners across the organization (News, Research, Engineering, etc.) who consume our data

Identify unique themes that may impact private markets and generate data models, commentary, and forecasts to support arguments

Set and maintain methodologies and data dictionary for the private equity dataset

Provide in-depth customer support to users of Bloomberg data products by resolving inquiries in a timely manner

Lead ad-hoc projects to optimize processes and improve the quality of the datasets

Qualification

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Financial ConceptsValuation TechniquesPortfolio ManagementPrivate Financial MarketsInvestment LifecycleData AnalysisDatabase QueryingExcelSQLPythonProblem-SolvingCritical ThinkingCreativityCommunicationTime ManagementCFA certificationCAIA certificationBusiness intelligenceProduct improvement

Required

A Bachelor's degree or higher in relevant data technology or financial field, or equivalent professional work experience

4+ years of work experience in the Financial Services industry, including exchanges, market data providers, consultancies, institutional investors, private equity, credit firms, or financial institutions

Strong understanding of financial concepts such as valuation techniques, internal rate of return, portfolio management and more

Deep understanding of private financial markets and the investment lifecycle

Strong interest in M&A and financial markets more broadly

Ability to think critically and creatively about new ways our data can add value to our clients

Ability to handle and prioritize multiple client queries and projects simultaneously

Excellent written and verbal communication skills, especially when articulating your ideas to diverse audiences

Experience working on data projects, querying large databases and using analytical tools such as Excel, SQL, or Python

Legal authorization to work full-time in the United States and will not require visa sponsorship