Bank of America is hiring: Data Operations Analyst in Atlanta

Charlotte, North Carolina; Atlanta, Georgia; Richmond, Virginia;

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’s 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!

Job Description:

The Data Operations Analyst supports the Service Asset Configuration Management (SACM) Operations team which is responsible to ensure the assets (hardware/software) required to deliver services are properly controlled, and that accurate and reliable information about those assets are available when and where it is 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.

This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.

Responsibilities:

• Manage workorder queue for asset management activities within the CMDB.
• Perform analytical analysis 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 the story refinement and 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 and 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, analyze test reports, identify test issues and errors, and triage underlying causes.
• Drive complex information technology projects to ensure on‑time delivery and adhere to team delivery and release processes.
• Identify, define, and document data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality.
• Work with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiate paths forward, and help identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes.

Required Qualifications

• 3+ years Experience in Data Analysis or Data Integration.
• SQL skills against industry standard DBMS (Cloudera, IBM, Trino, Oracle, SQL Server).
• Experience with problem management and ability to dive into root cause analysis.
• Experience with Data quality issues and development of metrics to support improvement of the data quality.
• Basic technology knowledge with regards to terminology and database methodology.
• Strong interpersonal and business skills to achieve cooperation/coordination of multiple tasks being performed.
• Ability to communicate effectively to multiple levels in technology organization.
• Ability to effectively deal with multiple deadline‑driven, customer‑sensitive projects and tasks.
• Strong time management and task prioritization skills.
• Ability to communicate clearly and concisely verbally and in writing.
• Ability to work with Senior management both on the Technology as well as Business.
• 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.
• Bachelor's degree in Technology from an Accredited University.

Age requirement: Must at least be 18 years of age.