Senior Data Analyst

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!

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:

• 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
• Apply technical or functional knowledge from the Data Sourcing/Transport/Usage perspectives.
• Drives toward achieving objectives for CFO DM Capital Traded Products team across Business Partner groups.
• Ability to drive toward optimal operating framework.

Required Qualifications:

• Minimum 2 years of Traded Products / Capital Markets experience or relevant work experience
• Knowledge of Capital Market Products; ability to understand and simplify complex traded product and technical subjects.
• Strong Data Analysis & Reporting skills.
• Ability to self-prioritize competing tasks/priorities as needed.
• Strong written and verbal communication skills.
• Ability to understand issues and know how and when to escalate.

Desired Qualifications:

• Prior experience supporting or working in the Capital Management space.
• Proficient working with large databases, experience with data mining.
• Knowledge of Data Management, Data Governance and Data Architecture functions.
• Familiarity with Agile Methodology concepts.
• Knowledge of Excel and PowerPoint.
• Proficiency with SQL programming languages.

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