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! Job Description: This role is responsible for providing analytical and data support for the Analytics and Model Development team within Consumer Banking Client Services. Key areas of focus for this role include data delivery, reporting, automation, insights, and forecasting optimization with AI. These areas of focus can also include performance trend analysis, the assessment and development of tools to automate and streamline processes, uncover actionable business insights to drive process change, project planning, data analysis, data science, and cross team collaboration with other Resource Planning & Optimization teams. LOB Specific Information: The Analytics and Model Development team relies on a variety of systems / platforms including, but not limited to, Excel, SQL, Python, Tableau, Alteryx, and SAS. The candidate will work across both Data Analytics and Data Science spectrums to source resource planning and performance data / metrics and compile into Executive level dashboards on a project or ad hoc basis. The candidate will leverage ETL tools to automate existing processes and drive operational excellence initiatives. The candidate will connect to existing SQL Server, Oracle, Teradata, and Hadoop databases to query data for reporting, perform trend analysis to understand areas of improvement, and present to key business stakeholders.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees