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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Responsibilities:
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Leads coordination of the production of product performance reports and updates for senior management
LOB Specific Responsibilities:
Applies data science, advanced analytics, and statistical techniques to identify trends, diagnose root causes, uncover actionable insights, and recommend solutions that improve operational performance and business outcomes
Sources, validates, transforms, integrates, and governs data from workforce management, contact center, vendor management, productivity, forecasting, capacity planning, and performance management platforms
Designs, develops, and maintains scalable dashboards, automated reporting solutions, data pipelines, ETL workflows, monitoring controls, and data quality frameworks that support critical business decisions
Leverages SQL, Python, statistical methods, and emerging AI capabilities to support forecasting optimization, scenario modeling, predictive analytics, anomaly detection, and prescriptive decision-making
Translates complex business problems into analytical approaches and develop data-driven solutions that improve efficiency, effectiveness, customer experience, and operational outcomes
Partners with business leaders, strategy teams, technology partners, and operational stakeholders to define requirements, prioritize opportunities, and deliver analytics solutions that drive measurable value
Leads or participates in the design, development, testing, implementation, and continuous improvement of enterprise reporting, analytics, forecasting, automation, and decision-support…