Consumer Product Strategy Analyst III – Analytics & Model Development

Bank of America

. Perform complex analysis and modeling to minimize loss exposure and negative impacts to customer experience .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $83,800 - $127,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, modeling, and visualization using SQL, Python, and Tableau to drive data-driven decision-making and improve business outcomes. Proficient in applying statistical methods and advanced analytics to identify trends and mitigate risks while effectively communicating insights to diverse audiences.

Highest-signal resume keywords

SQL Querying and Data TransformationAdvanced Excel ProficiencyTableau Dashboard DevelopmentStatistical Analysis and ModelingAgile Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesPredictive AnalyticsETL DevelopmentMachine LearningData VisualizationFinancial ModelingRisk AssessmentData Quality MonitoringAutomation Tools

Soft Skills

Analytical ThinkingProblem-SolvingCommunication SkillsOrganizational SkillsCollaboration

Tools & Technologies

SASPythonTableauSQL ServerOracleTeradataHadoopSnowflakeDatabricksJira

Industry Keywords

Data GovernanceBusiness IntelligenceOperational PerformanceForecastingRisk Management

Tech Stack

Tools & technologies

CloudETLHadoopOraclePythonSDLCSQLTableau

About the role

Key responsibilities & impact

Perform complex analysis and modeling to minimize loss exposure and negative impacts to customer experience
Use Excel, SAS, SQL, Tableau, and relational databases to provide analytical support on strategies
Evaluate data to assess potential fraud risk and create mitigation strategies
Recommend data-driven ways to achieve business outcomes and inform decisions
Analyze financial models, market data, financial data, and portfolio trends to improve risk, profitability, forecasting, and operational performance
Lead production of product performance reports and updates for senior management
Apply data science, advanced analytics, and statistical techniques to identify trends, diagnose root causes, uncover insights, and recommend solutions
Source, validate, transform, integrate, and govern data from workforce management, contact center, vendor management, productivity, forecasting, capacity planning, and performance management platforms
Design, develop, and maintain dashboards, automated reporting solutions, data pipelines, ETL workflows, monitoring controls, and data quality frameworks
Leverage SQL, Python, statistical methods, and emerging AI capabilities for forecasting optimization, scenario modeling, predictive analytics, anomaly detection, and prescriptive decision-making
Translate complex business problems into analytical approaches and data-driven solutions
Partner with business leaders, strategy teams, technology partners, and operational stakeholders to define requirements and deliver analytics solutions
Lead or participate in design, development, testing, implementation, and continuous improvement of reporting, analytics, forecasting, automation, and decision-support capabilities
Establish scalable processes, reusable data assets, governance standards, documentation, and development best practices
Support Agile delivery through requirements gathering, solution design, sprint planning, user acceptance testing, deployment readiness, and production support
Monitor data quality, process, operational, and reporting risks and implement controls and remediation strategies
Communicate findings, recommendations, risks, and opportunities to technical and non-technical audiences, including senior leadership
Manage multiple initiatives and competing priorities
Evaluate emerging technologies, automation opportunities, and AI-enabled capabilities
Perform other duties as assigned

Requirements

What you’ll need

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 large and complex datasets
Strong written and verbal communication skills for 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 continuous learning mindset
Willingness to learn new technologies, automation tools, and AI-enabled capabilities
Desired: experience with Python, SAS, R, machine learning, predictive modeling, or advanced statistical methods
Desired: experience with automation, ETL development, workflow orchestration, or AI-assisted analytics
Desired: experience with SQL Server, Oracle, Teradata, Hadoop, Snowflake, Databricks, or cloud analytics platforms
Desired: 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 is desired
Ability to work onsite in accordance with the workplace excellence policy if selected
40 hours per week

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Resources and support for employee wellness and impact
In-office flexibility based on role-specific responsibilities and business needs
Opportunities to learn, grow, and build a career