Data Support Senior Analyst
Bank of America
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. 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:
Support efforts to become compliant with the new Enterprise RDA Policy
Support collection of PDE data lineage for new reports that get added to the RDA inventory
Facilitate validation that the inputs into the Critical Risk Figures (CRFs) are fit for purpose – this will need to be done for the existing as well as the new reports
Partner with reporting and technology teams to identify and define CRP business elements used in ECR RDA reports and update the Credit Risk Domain Data Catalog (DDC) as needed
Drive process to understand data governance impacts from technology initiatives (for I2I, WCRD/WCRV and Allowance) and partner with initiative teams to establish action plans for completion of any required updates to data lineage, data dictionaries and control documentation.
Drive periodic comprehensive data lineage refresh activities for CRP Wholesale (WCRD/WCRV) and Allowance views
Coordinate with the Finance Reg Reporting (FRR) Big Rock DQ Automation team, CRP technology and CRP data production teams to support data lineage and control documentation for the FRR DQ Automation project
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.
Attention to Detail
Data Quality Management
Minimum Education Requirement:
Additional responsibilities include, but not limited to:
Advanced analytical skills that demonstrate ability to navigate systems, access data, reconcile business element definitions from different sources, identify discrepancies and understand drivers of change
Support data governance routines relating to ADS sourcing and provisioning
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
2+ years experience working with large data warehouse systems and relational databases
Ability to develop and interpret basic SCL statement and analyze data to develop robust data definition and identify data quality control requirements
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
Shift:1st shift (United States of America)
Hours Per Week:40