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Wells Fargo Sponsor Credit Mid-Corporate Portfolio Manager Senior Analys... United States, North Carolina, Charlotte
Underwrite new transactions as part of a team alongside a lead underwriter: build and sensitize integrated operating/LBO models, size debt capacity and covenant headroom, produce in-depth credit analysis and write...
Lead complex initiatives, including those that are cross functional with broad impact as well as targeted Derivatives and FX projects. Act as consultant to finance, accounting and Business Line management...
Line of Business (LoB) COO (Banking, Markets, CRE): Partners with LOB leadership on development and execution of strategic priorities, management of day-to-day business activities and supports critical risk efforts. Strategy...
Today’s Real Estate segment reporting is done manually by rolling up information at the building level to create a P&L for each segment. It does not cleanly align to the...
Performs complex data mining from very large, complex and multiple data sources using various tools, including SAS, SQL, SSIS/SSRS and others of multiple data sources in order to perform analysis,...
Optimize the finance Databricks environment, including implementation and maintenance of access control systems and security protocols. Coordinate with technical and business partners to build finance data platform into the broader...
Underwrite new transactions as part of a team alongside a lead underwriter: build and sensitize integrated operating/LBO models, size debt capacity and covenant headroom, produce in-depth credit analysis and write...
Data Analysts are responsible for analyzing and interpreting complex data to help inform and guide business decisions. They work with large datasets to identify patterns, trends, and insights that can be used to improve the performance of an organization. They use a variety of tools and techniques, including SQL, Excel, and statistical analysis, to extract, clean and transform data and perform data analysis.
Data Analysts work with cross-functional teams, such as product managers, marketing, and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also have experience with data visualization tools, such as Tableau and Power BI, to create interactive dashboards and reports to communicate data insights clearly and effectively. They also have to make sure the data is accurate and reliable and they have to be able to explain the data insights to non-technical stakeholders.