Consumer Product Strategy Analyst III – Analytics, Model Development

Bank of America

Consumer Product Strategy Analyst III analyzing complex data and modeling to minimize loss exposure at Bank of America. Collaborating with stakeholders and using data science for operational improvements.

Posted 7/31/2026full-timeHunt Valley • Maryland, Nevada, New York, Virginia • 🇺🇸 United StatesJunior💰 $83,800 - $127,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, SQL, Python, and Tableau to derive actionable insights and support operational improvements. Proficient in managing multiple projects while ensuring high-quality deliverables in a collaborative environment.

Highest-signal resume keywords

SQL Coding ExperiencePython ProgrammingTableau ProficiencyStatistical Methods ApplicationAdvanced Excel Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisETL WorkflowsForecasting OptimizationScenario AnalysisData Quality ChecksAutomated ReportingDashboard DevelopmentStatistical MethodsData IntegrationData Transformation

Soft Skills

Strong Communication SkillsAnalytical Problem-SolvingTime ManagementTeam CollaborationPositive Attitude

Tools & Technologies

TableauSQLPythonSASExcel

Industry Keywords

Workforce ManagementContact CenterPerformance OptimizationOperational Decision-MakingAgile Methodology

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

Use data science and analysis to identify trends, understand root causes, uncover actionable insights, and recommend operational improvements
Source, validate, transform, and integrate data from workforce management, contact center, vendor, capacity, productivity, and performance platforms.
Build and maintain dashboards, automated reports, ETL workflows, data quality checks, and recurring data distributions that support business goals and operational decision-making
Apply SQL, Python, statistical methods, and emerging AI capabilities to support forecasting optimization, scenario analysis, and prescriptive insights
Participate in collaborative reporting and design sessions with organizational stakeholders and business owners to design, build, and deliver scalable reporting solutions
Attend Agile standup meetings, provide timely status updates, support UAT and deployment readiness, and effectively communicate risks, blockers, and dependencies
Collaborate with other developers to create and maintain scalable processes, reusable logic, documentation, governance standards, and development best practices
Partner with Performance Optimization, Scheduling, Strategic teams, technology partners, and business stakeholders to deliver insights that inform critical decisions and help achieve goals
Manage multiple projects and shifting priorities while producing accurate, timely, and high-quality work
Other duties as assigned

Requirements

What you’ll need

1+ years of SQL and/or SAS Coding experience
1+ years of Tableau experience
Experience with Python and statistical methods in understanding relationships in data
Advanced Excel proficiency
Strong written and oral communication skills with broad business acumen
Ability to manage multiple projects in a complex and rapidly-changing environment
Excellent time management skills
Ability to work independently as well as part of a team
Strong analytical and problem-solving skills to effectively communicate with technical and non-technical audiences and quickly elevate any risks or challenges
Positive Attitude and willingness to learn

Benefits

Comp & perks

affordable, competitive and flexible benefits
access to paid time off
resources and support to our employees