Senior Data Analyst - CFO Data Management Controls

Job Description:

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 

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.

Responsibilities:

• Managing a portfolio of BAU and Initiative project work specific to the enterprise’s Authorized Data Source – serving many LOBs as well as critical risk & loss mitigation functions – engaging to ensure project scope, objectives, requirements, and deliverables are met.
• 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.
• Execution of daily/monthly control routines supporting the completeness and accuracy of data consumed by downstream stakeholders.
• Conduct Data Quality/Data Validation investigations to determine root cause with focus on mitigating future reoccurrence, including daily reporting of identified breaks.
• Perform manual adjustments on daily/weekly/monthly basis and co-ordinate initial escalation and reporting management to address exceptions, threshold breaches and data quality/data gap remediation.
• Operational Excellence – enhance CFO DM processes through identification and analysis of processes and own the delivery of solution(s).
• 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.

Required Qualifications

• Bachelor’s degree in related field or relevant work experience
• Proficient working with large databases, experience with data mining
• Advanced knowledge of Excel, PowerPoint, and SharePoint
• Excellent written and verbal communication skills

Desired Skills

• 5 plus years of relatable experience in a similar function
• Proficiency with Alteryx, Tableau, and SQL programming languages
• 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:

Hours Per Week: