Senior Data Analyst (CFO Data Management - Counterparty)

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Description Summary:

This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.

CFO Data Management (CFO DM) supports other CFO Function’s needs and use cases (e.g., management and regulatory reporting). This role will be responsible for Counterparty Data within a larger data environment. Counterparty refers to the clients and other parties associated with Bank of America’s transactions. Counterparty classification is a key element in many reports.

Responsibilities:

• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set.

• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship.

• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform.

• 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 and ensures strategic upstream resolution for data related incidents.

Additional Responsibilities:

• Provide Subject Matter Expertise for Counterparty data attributes.

• Control Data consumed by CFO, including investigating and developing remediation plans for data quality issues.

• Interface with business partners on their data needs, requirements for new data requests, track and prioritize changes.

• Assist team with data analysis and ensure quality of outputs.

• Create SQL scripts and conduct user acceptance testing on new data requests.

• Collaborate across stakeholders including business reporting, product-specific data stewards, tech partners, upstream data providers/data management, and risk/compliance.

• Identify, review, and evaluate potential upstream systems to determine data sourcing strategy.

• Follow the proper risk disciplines and proactively escalate as needed.

• Adhere to Enterprise Data Management Standards and Risk Data Aggregation requirements.

Required Qualifications:

• Minimum 5 years’ of experience with data analysis within the financial industry and/or highly regulated environments.

• Capacity to handle multiple tasks and work in a flexible environment.

• Ability to think and act independently, detailed oriented and organized.

• Strong communication skills and the ability to build relationships across a matrixed organization.

Desired Qualifications:

• Bachelor’s degree in related field or relevant work experience.

• Bank of America, Regulatory Reporting experience a plus, including applicable Bank of America platforms (e.g. WCC, CED, CESIUM, PRDS).

• Experience with Agile methodology.

• Knowledge of emerging technologies (e.g. Alteryx, artificial intelligence from a data validation/profiling perspective, etc.).

• Exposure to AML/KYC processes.

• Familiarity with transactional databases.

• Analytics experience with SQL.

• Data Management experience.

• Excellent written and verbal communication skills.

• Proficiency with Alteryx, Tableau, and SQL programming language.

• Knowledge and prior experience with Regulatory Reporting.

Skills:

• Data Collection and Entry

• Data Management

• Data Modeling

• Issue Management

• Policies, Procedures, and Guidelines Management

• Analytical Thinking

• Collaboration

• Data Governance

• Data Quality Management

• Data and Trend Analysis

• Business Acumen

• Controls Management

• Production Support

• Regulatory Compliance

• Solution Design

Shift:

1st shift (United States of America)

Hours Per Week:

40