CFO Data Management - Loan Products Senior Data Analyst

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Job Description:
This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.

Team Overview:

CFO Data Management (CFO DM) 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 Loan products data. 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.

Responsibilities:

• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set
• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship
• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform
• Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform
• Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents

Skills:

• Data Collection and Entry
• Data Management
• Data Modeling
• Issue Management
• Policies, Procedures, and Guidelines Management
• Analytical Thinking
• Collaboration
• Data Governance
• Data Quality Management
• Data and Trend Analysis
• Business Acumen
• Controls Management
• Production Support
• Regulatory Compliance
• Solution Design

Required Qualifications:

• Minimum 3 years of data analysis and product expertise within the financial industry
• Strong analytical and problem solving skills, attention to detail, and demonstrated experience performing complex data analysis within relational databases using SQL, Advanced MS Excel (including VBA), Toad, and/or SAS.
• Knowledge/familiarity with wholesale loan products, and/or experience with regulatory or financial reporting of same
• 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 CFO DM organization
• Excellent verbal and written communication and presentation skills; the ability to summarize complex issues clearly and succinctly and communicate with impact

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Desired Qualifications:

• Bachelors' degree, or higher, in Business
• 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 Alteryx

Shift:

Hours Per Week: