Bank of America is hiring: Data Operations Analyst in Plano

Overview

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, including our commitment to being an inclusive workplace, attracting and developing talent, supporting teammates’ wellness, recognizing performance, and making 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 flexibility based on role-specific considerations. This position supports the Data Operations Analyst within the Service Asset Configuration Management (SACM) Operations team, which ensures assets (hardware/software) required to deliver services are controlled and that accurate information about those assets is available where and when needed. The SACM Operations team provides reporting and operational capability for managing the inventory within the CMDB, including management of the Remedy internal product catalog.

Responsibilities

• Manage workorder queue for asset management activities within the CMDB.
• Perform analytical analyses and assessments of data integration sources into the Master Data Warehouse.
• Perform and communicate data consistency and accuracy assessments across key IT infrastructure SORs.
• Drive future data standardization and quality measurements based on analysis outcomes.
• Work across development teams to contribute to story refinement and the delivery of data requirements through the delivery life cycle.
• Leverage architecture components in solution development; code solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria.
• Build processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management; define and build data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process.
• Develop and execute test plans to produce quantitative results; contribute to existing test suites including integration, regression, and performance testing; analyze test reports and triage underlying issues.
• Drive complex information technology projects to ensure on-time delivery and adherence to team delivery and release processes.
• Identify, define, and document data engineering requirements; communicate information for deployment, maintenance, support, and business functionality.
• Collaborate with technology partners and stakeholders to identify and close gaps in data management standards, negotiating paths forward and communicating solutions to complex data problems."

Qualifications

• 3+ years of experience in Data Analysis or Data Integration.
• SQL skills against industry standard DBMS (Cloudera, IBM, Trino, Oracle, SQL Server).
• Experience with problem management and root cause analysis.
• Experience with data quality issues and development of metrics to support data quality improvement.
• Basic technology knowledge with regard to terminology and database methodology.
• Strong interpersonal and business skills to coordinate multiple tasks.
• Ability to communicate effectively to multiple levels in the technology organization.
• Ability to manage multiple deadline-driven, customer-sensitive projects and tasks.
• Strong time management and task prioritization skills.
• Excellent verbal and written communication skills.
• Ability to work with senior management both on the Technology and Business sides.
• Ability to assess and suggest changes to the Master Model over time.
• Ability to provide input to reporting and integration requirements.

Desired Qualifications

• ServiceNow ITSM experience.
• ITIL 4 certification.
• Bachelor's degree in Technology from an accredited university.

Skills

• Analytical Thinking
• Application Development
• Data Management
• Agile Practices
• Collaboration
• Decision Making

Shift

1st shift (United States of America)

Hours Per Week

40