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Bank of America

Senior Data Support Analyst

Bank of America

Data Support Sr Analyst monitoring and remediating data for risk measurement and reporting. Ensuring data validity and collaborating with technology and business teams at Bank of America.

Posted 7/21/2026full-timeCharlotte • New Jersey, North Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data management, including the ability to analyze large datasets, develop SQL statements, and ensure data accuracy and compliance with Enterprise Data Management Standards. Proficient in leveraging advanced tools like Microsoft Excel and AI technologies to enhance data governance and reporting processes.

Highest-signal resume keywords
Data ManagementSQL DevelopmentMicrosoft ExcelData GovernanceAnalytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ManagementSQL DevelopmentDatabase ArchitectureData AnalysisData Quality AssuranceData LineageRisk Data AggregationEUC ComputingData ReportingData Validation
Soft Skills
CommunicationStrategic ThinkingOrganizationInfluencingCollaboration
Tools & Technologies
Microsoft ExcelPowerPointDQC ToolkitAI (Copilot)
Industry Keywords
Risk MeasurementData GovernanceOperational RiskEnterprise Data ManagementCompliance

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • 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.
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • affordable, competitive and flexible benefits