Data Support Sr. 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!

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.

Skills:

• Attention to Detail
• Collaboration
• Data Governance
• Data Quality Management
• Risk Management
• Adaptability
• Controls Management
• Negotiation
• Problem Solving
• Result Orientation
• Change Management
• Continuous Improvement
• Data Management
• Presentation Skills
• Stakeholder Management

Line of Business

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.
In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a growing Strategic Coordination and Implementation (SCI) team.
Under DSM Executive’s leadership, the SCI team will develop a holistic vision on how best to structure data sourcing and data quality control strategy for GRM so it can unlock business value. This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.

Job Description
This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.

• Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required .

• Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.

• Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding .

• Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate .

• Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges .

• Review and provide input to technical solution designs from a business point of view and recommend alternatives .

• Communicate plans, progress and risks appropriately to the stakeholders and sponsors .

Required Skills:

• Bachelors or Masters in computer science, system analysis, Information Systems or related field .

• 1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role

• Strong process/systems analysis, design and documentation .

• Strong analytical, critical thinking, and problem-solving skills .

• Ability to monitor tight deadlines and adapt to unexpected requirement changes .

• Strong Understanding of Risk Management and Data Management Principles

Desired Skills:

• Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking

• Understanding or experience of programming in SQL, C/C++, Java

• Familiarity with databases, such as Oracle, Hadoop, etc .

Shift:

1st shift (United States of America)

Hours Per Week:

40