Senior Data Analyst – Securities Reference Data

Bank of America

Senior Data Analyst responsible for ensuring operational data accuracy and adherence to enterprise data management standards at Bank of America. Collaborating across teams to resolve data issues and enhance reporting capabilities.

Posted 7/15/2026full-timeCharlotte • New York, North Carolina • 🇺🇸 United StatesSenior💰 $85,600 - $132,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Management and Analysis, ensuring data accuracy and compliance through effective controls and testing procedures. Proficient in collaborating with business and technology teams to develop functional requirements and manage data-related incidents.

Highest-signal resume keywords

Data ManagementData AnalysisSQL ProficiencyBloomberg ProficiencyBusiness Acumen

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData AnalysisDatabase ExpertiseSecurities Product ExpertiseWaterfall Dataflows Understanding

Soft Skills

Strong Communication AbilitiesSelf-DirectedDetail-OrientedOrganizedCurious Thinker

Tools & Technologies

BloombergSQLExcel

Industry Keywords

Financial IndustryEnterprise Data ManagementBusiness RequirementsControl BreachesContinuous Improvement

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls
Develops and executes on Enterprise Data Management policies and standards
Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed
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

Requirements

What you’ll need

Bachelor’s in accounting/finance/business or related fields
Data management/analysis, database, and/or securities product expertise within the financial industry (preferred)
Business acumen; ability to bridge business and technical topics
Strong partnering and communication abilities
Able to self-direct/prioritize tasks, detailed-oriented, organized, self-initiated
Curious and independent thinker with a continuous improvement mindset
Ability to understand waterfall dataflows/logic, set theory, and other related dataflows helpful
Proficient with Bloomberg, SQL, and Excel (Preferred)

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Discretionary incentive eligible
Annual discretionary award based on performance