Job description

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 capabilities • Collaborates with cross-functional teams to establish scalable processes, reusable data assets, governance standards, documentation, and development best practices that improve consistency and reduce operational risk • Supports Agile delivery processes through requirements gathering, solution design, sprint planning, user acceptance testing, deployment readiness, and ongoing production support • Monitors and proactively identifies data quality, process, operational, and reporting risks, implementing controls and remediation strategies to ensure accuracy, reliability, and business continuity • Communicates analytical findings, recommendations, risks, and opportunities effectively to both technical and non-technical audiences, including senior leadership. • Manages multiple initiatives and competing priorities while consistently delivering accurate, timely, and high-quality work in a fast-paced and evolving environment. • Continuously evaluates emerging technologies, automation opportunities, and AI-enabled capabilities to enhance analytical effectiveness, operational efficiency, and business value • Other duties as assigned Required Qualifications: • Demonstrated ability to query, transform, analyze, and validate data using SQL, SAS, Python, or similar analytical programming languages. • Experience creating dashboards, visualizations, and reporting solutions using Tableau or similar business intelligence tools. • Advanced Excel proficiency, including data analysis, modeling, and data manipulation techniques. • Working knowledge of statistical concepts and analytical methods used to identify trends, relationships, root causes, and business opportunities. • Demonstrated ability to use data to solve business problems and translate findings into actionable recommendations. • Strong analytical, critical thinking, and problem-solving skills with the ability to work with large and complex datasets. • Strong written and verbal communication skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences. • Ability to manage multiple projects and priorities in a fast-paced, rapidly changing environment. • Strong organizational skills, attention to detail, and ability to deliver accurate, high-quality work with minimal supervision. • Ability to work independently while collaborating effectively with cross-functional teams. • Demonstrated curiosity, ownership, adaptability, and a continuous learning mindset, including willingness to learn new technologies, automation tools, and AI-enabled capabilities. Desired Qualifications: • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes • Experience with Python, SAS, R, machine learning, predictive modeling, or advanced statistical methods • Experience with automation, ETL development, workflow orchestration, or AI-assisted analytics • Experience with enterprise platforms such as SQL Server, Oracle, Teradata, Hadoop, Snowflake, Databricks, or cloud analytics platforms • Experience with Agile, Jira, SDLC, UAT, and production deployment practices • Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Engineering, Computer Science, Finance, Operations Research, Data Science, or related quantitative discipline Skills: • Business Analytics • Business Intelligence • Data Quality Management • Fraud Management • Monitoring, Surveillance, and Testing • Collaboration • Data Visualization • Oral Communications • Problem Solving • Written Communications • Analytical Thinking • Critical Thinking • Data and Trend Analysis • Innovative Thinking • Research Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy. Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - MD - Hunt Valley - 11333 MCCORMICK RD - HUNT VALLEY II (MD5032), US - NV - Las Vegas - 1351 N Town Center Dr (NV1507), US - NY - Utica - 5701 Horatio St - 5701 Horatio Arterial (NY7501), US - VA - Richmond - 8011 VILLA PARK DR - VILLA PARK OPS CENTER BLDG B (VA2125) Pay and benefits information Pay range $83,800.00 - $127,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Requirements

Must-haves

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Leads coordination of the production of product performance reports and updates for senior management
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 capabilities
Collaborates with cross-functional teams to establish scalable processes, reusable data assets, governance standards, documentation, and development best practices that improve consistency and reduce operational risk
Supports Agile delivery processes through requirements gathering, solution design, sprint planning, user acceptance testing, deployment readiness, and ongoing production support
Monitors and proactively identifies data quality, process, operational, and reporting risks, implementing controls and remediation strategies to ensure accuracy, reliability, and business continuity
Communicates analytical findings, recommendations, risks, and opportunities effectively to both technical and non-technical audiences, including senior leadership.
Manages multiple initiatives and competing priorities while consistently delivering accurate, timely, and high-quality work in a fast-paced and evolving environment.
Continuously evaluates emerging technologies, automation opportunities, and AI-enabled capabilities to enhance analytical effectiveness, operational efficiency, and business value
Other duties as assigned
Demonstrated ability to query, transform, analyze, and validate data using SQL, SAS, Python, or similar analytical programming languages.
Experience creating dashboards, visualizations, and reporting solutions using Tableau or similar business intelligence tools.

Nice-to-haves

Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
Experience with Python, SAS, R, machine learning, predictive modeling, or advanced statistical methods
Experience with automation, ETL development, workflow orchestration, or AI-assisted analytics
Experience with enterprise platforms such as SQL Server, Oracle, Teradata, Hadoop, Snowflake, Databricks, or cloud analytics platforms
Experience with Agile, Jira, SDLC, UAT, and production deployment practices
Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Engineering, Computer Science, Finance, Operations Research, Data Science, or related quantitative discipline

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonaiagilemachine learningjira

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

Paid Time Off

Wellness