Data Support Sr Analyst

Bank of America•Charlotte, NC

2d•Onsite

About The Position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! May manage or supervise a small group. Proactively monitor and remediate incoming data used in risk measurement and reporting. Ensure the completeness, validity, and accuracy of data on a daily basis. Work with business data users to define the use of data within risk systems. Work closely with technology to ensure the timely and accurate operation of risk models and reporting systems. Implement effective risk controls of our data processes and systems. Participate in user acceptance testing of data control processes. Work with other groups as needed, including Middle Office, Sales and Trading, Technology, Compliance, Operational Risk, and Enterprise Capital Management to ensure effective controls over data for GMRM. Credit Risk Data Governance & Oversight (CR DGO) is responsible for the interpretation, design, implementation and sustainment of best-in-class data management practices in Credit Risk (inclusive of internal and external data management requirements as the baseline). This is an enterprise role and covers all of Enterprise Credit and Global Banking Risk. The Data Support Sr Analyst will establish and maintain compliance with the Enterprise Data Management Standards related to: Work with report preparers to document, update and maintain end user (EUC) computing lineage for existing and new Risk Data Aggregation (RDA) reports Integration (stitching) and sustainment of EUC and technical PDE data lineage from the report back to one hop outside of Credit Risk Maintaining EUC lineage in Enterprise tools (DQC Toolkit) Performing quality assurance analysis on data lineage Updating asset flow diagrams Facilitate validation that the inputs into the Critical Risk Figures (CRFs) are fit-for-purpose including analysis of discrepancies, tracking and coordinating remediation efforts Track and report on status of project deliverables The successful candidate will need to demonstrate intellectual curiosity, exercise sound judgment, thrive in an environment that challenges the status quo, encourage debates, and influence stakeholders across a large matrixed organization.

Requirements

2 + years experience in data management working with very large data sets
General knowledge of database architecture and experience working with large data warehouse systems and relational databases
Ability to develop and interpret basic SQL statements and analyze data
Advanced knowledge of Microsoft Excel functions and ability to manipulate/research large, complex, multi-tab spreadsheets
Ability to leverage AI (Copilot) to simplify data governance activities and automate manual processes
Ability to work in a fast-paced environment
Adept at communication with ability to influence co-workers across our global team and key Technology and Compliance partners
Strategic thinker, self-starter, organized, versatile, and capable of performing work with minimal management oversight
Strong presentation and intermediate PowerPoint skills to prepare executive status updates
Advanced analytical skills that demonstrate ability to navigate systems, access data, identify discrepancies and understand drivers of change
Ability to work with stakeholders across different teams, build consensus and execute strategic objectives
Ability to interpret data management policies and identify impacts to data management processes and artifacts

Nice To Haves

GRM experience

Responsibilities

Proactively monitor and remediate incoming data used in risk measurement and reporting.
Ensure the completeness, validity, and accuracy of data on a daily basis.
Work with business data users to define the use of data within risk systems.
Work closely with technology to ensure the timely and accurate operation of risk models and reporting systems.
Implement effective risk controls of our data processes and systems.
Participate in user acceptance testing of data control processes.
Work with other groups as needed, including Middle Office, Sales and Trading, Technology, Compliance, Operational Risk, and Enterprise Capital Management to ensure effective controls over data for GMRM.
Establish and maintain compliance with the Enterprise Data Management Standards related to Credit Risk.
Work with report preparers to document, update and maintain end user (EUC) computing lineage for existing and new Risk Data Aggregation (RDA) reports.
Integration (stitching) and sustainment of EUC and technical PDE data lineage from the report back to one hop outside of Credit Risk.
Maintain EUC lineage in Enterprise tools (DQC Toolkit).
Perform quality assurance analysis on data lineage.
Update asset flow diagrams.
Facilitate validation that the inputs into the Critical Risk Figures (CRFs) are fit-for-purpose including analysis of discrepancies, tracking and coordinating remediation efforts.
Track and report on status of project deliverables.