Bank of America
Base pay range
$100,400.00/yr - $146,900.00/yr 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, including 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! Role overview
The Data Operations Analyst supports the Service Asset Configuration Management (SACM) Operations team, which ensures the assets (hardware/software) required to deliver services are properly controlled and that accurate and reliable information about those assets is 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 role develops and delivers data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing data integration, cleaning, transformation, and control of data in operational and analytical data systems. The job involves collaborating with stakeholders and Product and Software Engineering teams to implement data requirements, analyze performance, and troubleshoot data problems within system engineering domains. Responsibilities
Manage workorder queue for asset management activities within the CMDB. Perform analytical assessments of data integration sources into the Master Data Warehouse. Evaluate data consistency and accuracy across key IT infrastructure sources of record (SORs). Drive data standardization and quality measurements based on analysis outcomes. Collaborate with development teams to refine stories and deliver data requirements through the delivery life cycle. Leverage architecture components to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria. Build processes supporting data transformation, metadata, data quality controls, dependency, and workload management; define and build data pipelines and complex data sets to enable data-informed decision making; identify and raise risks at all stages of the data engineering process. Develop and execute test plans; contribute to test suites including integration, regression, and performance; analyze test reports and triage issues. Drive complex IT projects to ensure on-time delivery and adherence to team processes. Identify, define, and document data engineering requirements; communicate information for deployment, maintenance, support, and business functionality. Work with technology partners and stakeholders to identify and close gaps in data management standards adherence; propose and communicate solutions to complex data problems. 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 root cause analysis. Experience with data quality issues and development of metrics to improve data quality. 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. Clear verbal and written communication. Ability to work with Senior management in Technology and Business. Ability to assess and suggest changes to the Master Model over time. Ability to contribute input to reporting and integration requirements. Desired Qualifications
ServiceNow ITSM experience. ITIL 4. 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
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$100,400.00/yr - $146,900.00/yr 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, including 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! Role overview
The Data Operations Analyst supports the Service Asset Configuration Management (SACM) Operations team, which ensures the assets (hardware/software) required to deliver services are properly controlled and that accurate and reliable information about those assets is 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 role develops and delivers data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing data integration, cleaning, transformation, and control of data in operational and analytical data systems. The job involves collaborating with stakeholders and Product and Software Engineering teams to implement data requirements, analyze performance, and troubleshoot data problems within system engineering domains. Responsibilities
Manage workorder queue for asset management activities within the CMDB. Perform analytical assessments of data integration sources into the Master Data Warehouse. Evaluate data consistency and accuracy across key IT infrastructure sources of record (SORs). Drive data standardization and quality measurements based on analysis outcomes. Collaborate with development teams to refine stories and deliver data requirements through the delivery life cycle. Leverage architecture components to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria. Build processes supporting data transformation, metadata, data quality controls, dependency, and workload management; define and build data pipelines and complex data sets to enable data-informed decision making; identify and raise risks at all stages of the data engineering process. Develop and execute test plans; contribute to test suites including integration, regression, and performance; analyze test reports and triage issues. Drive complex IT projects to ensure on-time delivery and adherence to team processes. Identify, define, and document data engineering requirements; communicate information for deployment, maintenance, support, and business functionality. Work with technology partners and stakeholders to identify and close gaps in data management standards adherence; propose and communicate solutions to complex data problems. 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 root cause analysis. Experience with data quality issues and development of metrics to improve data quality. 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. Clear verbal and written communication. Ability to work with Senior management in Technology and Business. Ability to assess and suggest changes to the Master Model over time. Ability to contribute input to reporting and integration requirements. Desired Qualifications
ServiceNow ITSM experience. ITIL 4. 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
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