Consumer Product Strategy Analyst III (Analytics & Model Development)

Bank of America•Tampa, FL

2d•$83,800 - $127,000•Onsite

About The Position

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. 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!

Requirements

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.

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

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
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