Treasury Data Management – Banking Products Data Analyst

Treasury Data Management (TDM) is responsible for ensuring data used in key internal and regulatory reports is timely, accurate, and properly controlled. This role will be responsible for supporting Treasury users of Banking Products data (consumer loans, wholesale credit, and deposits products). The primary functions include partnering with Treasury consumers, upstream data providers, and technology teams to research and drive resolution of data issues, document and communicate new business and data requirements, test data and functionality changes, and develop and maintain controls to ensure the integrity of the data. Additionally, the role is responsible for supporting periodic audits and exams by the internal audit and compliance organizations and various Bank regulatory agencies.

Required Skills:

Strong analytical and problem solving skills, attention to detail, and demonstrated experience performing complex data analysis using Excel, VBA, SQL, Toad, SAS, etc.

Self-motivated, intellectually curious, able to work as part of a team in a fast-paced environment and balance multiple priorities simultaneously

Must possess very strong relationship building and communication skills, both with peers and leaders inside and outside the TDM organization

Excellent verbal and written communication and presentation skills; the ability to summarize complex issues clearly and succinctly and communicate with impact

Bachelor’s degree, or higher, in Business / related field, or related experience

Desired Skills:

Knowledge/familiarity with loans and deposits products, and/or experience with regulatory or financial reporting of same

Prior data management or technology/finance experience in Consumer Banking, Wholesale Credit, or Credit Risk organizations at BAC

Strong knowledge or prior experience with Data Controls monitoring and/or Data Control governance practices

Familiarity with BAC Enterprise Data Management Policy & Standards and the BAC Risk Framework

Experience with process automation using tools such as Tableau and Arcteryx

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