CFO Data Management – Loan Products Senior Data Analyst

Bank of America•Charlotte, NC

About The Position

The CFO Data Management (CFO DM) team ensures that data used in key internal and regulatory reports is timely, accurate, and properly controlled. This role supports Treasury users of consumer loan and wholesale credit data, partnering with Treasury consumers, upstream data providers, and technology teams to research and resolve data issues. The analyst documents and communicates new business and data requirements, tests data and functionality changes, and develops and maintains controls that protect data integrity. The role also supports periodic audits and examinations conducted by internal audit and compliance organizations and regulatory agencies. The position is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring adherence to enterprise data management standards. This includes analyzing and testing data, managing data incidents, conducting impact analysis for data updates, supporting data access and ownership by domain, performing quality control, and overseeing data maintenance. The analyst works across business and technology teams to implement enterprise data management policies and standards, monitor controls, resolve or escalate issues, and develop requirements for strategic upstream data solutions.

Requirements

At least 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.
Experience with SQL, Advanced MS Excel (including VBA), Toad, and/or SAS.
Knowledge of or familiarity with consumer and wholesale loan products, and/or experience with regulatory or financial reporting for those products.
Self-motivated and intellectually curious, with the ability to work on a team in a fast-paced environment and balance multiple priorities.
Very strong relationship-building and communication skills with peers and leaders inside and outside the CFO DM organization.
Excellent verbal, written, and presentation skills, including the ability to summarize complex issues clearly and succinctly and communicate with impact.

Nice To Haves

Prior data management or technology/finance experience in Consumer Banking, Wholesale Credit, or Credit Risk organizations at Bank of America.
Strong knowledge of or prior experience with data controls monitoring and/or data control governance practices.
Familiarity with Bank of America Enterprise Data Management Policy and Standards and the Bank of America Risk Framework.
Experience with process automation using tools such as Alteryx.

Responsibilities

Ensure data is accurate, complete, and fit for purpose through testing procedures and data controls.
Develop and execute Enterprise Data Management policies and standards, and work across teams to ensure adherence.
Serve as a key point of contact for data compliance topics and manage operational elements of the Enterprise Data Strategy Governance and Operations (EDSGO) relationship.
Manage data-related incidents; identify, communicate, resolve, or escalate issues involving data quality, availability, and potential sourcing alternatives.
Develop, manage, and execute controls for data platforms, including tracking, monitoring, and resolving control breaches.
Partner with Business and Technology functions to develop business and functional requirements documents and drive strategic upstream resolution of data incidents.
Partner with Treasury consumers, upstream data providers, and technology teams to research and resolve data issues.
Document and communicate new business and data requirements, and test data and functionality changes.
Develop and maintain controls to ensure data integrity.
Support periodic audits and examinations by internal audit, compliance organizations, and regulatory agencies.
Perform data analysis, train new users, and conduct impact analysis resulting from data updates.
Help define data access and ownership by domain, conduct quality control, and oversee data maintenance.