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Media Modeling Associate
Bank of America. Turn market, media, and consumer data into clear, actionable insights that guide business decisions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in marketing analytics and insights generation, leveraging tools like Python and SQL to interpret data and drive business strategies. Proficient in project management and cross-functional collaboration to deliver actionable recommendations.
Highest-signal resume keywords
Marketing Mix Modeling (MMM)Fluency In PythonFluency In SQLProject Management SkillsStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Market ResearchConsumer InsightsModeling And AnalyticsData InterpretationInsight Generation
Soft Skills
Problem-SolvingCommunication
Tools & Technologies
TableauMicroStrategyThoughtSpotTeradataOracleHadoopSAS-GridStarburstMicrosoft Copilot ChatGitHub Copilot
Industry Keywords
Media MeasurementMarketing EffectivenessCustomer AnalyticsBusiness IntelligenceData Structures
Tech Stack
Tools & technologiesHadoopOraclePythonSQLTableau
About the role
Key responsibilities & impact- Turn market, media, and consumer data into clear, actionable insights that guide business decisions
- Understand data foundations by working with databases and AI-enabled tools
- Interpret outputs from marketing mix modeling, attribution, and customer analytics to identify performance drivers, growth opportunities, and optimization areas
- Generate insights and recommendations tied to business outcomes to inform marketing and business strategy
- Develop project plans and track timelines and progress for insights initiatives
- Work with cross-functional teams to deliver work and move recommendations into action
- Communicate and coordinate with business partners and stakeholders to align priorities, share findings and updates, and support decision-making for technical and non-technical audiences
Requirements
What you’ll need- Combined marketing and analytics background, with experience in market research, consumer insights, media measurement, and/or marketing effectiveness
- Hands-on exposure to modeling and analytics
- Working knowledge of marketing mix modeling (MMM), attribution, customer analytics, or similar modeling approaches
- Ability to interpret model outputs
- Strong communication skills and ability to translate analytical findings into clear business recommendations
- Strong problem-solving and insight-generation skills
- Project management skills, including planning, timeline tracking, and prioritization across multiple workstreams
- Fluency in Python and SQL
- Understanding of databases and data structures used in modeling
- Knowledge of relational and non-relational databases including Teradata, Oracle, Hadoop, SAS-Grid, and Starburst
- Experience with business intelligence platforms such as Tableau, MicroStrategy, and ThoughtSpot
- Ability to use AI-powered tools such as Microsoft Copilot Chat and GitHub Copilot while following applicable controls and standards
- Ability to work 1st shift in the United States of America
- Ability to work 40 hours per week
Benefits
Comp & perks- Discretionary incentive eligible
- Eligible to participate in the annual discretionary plan
- Benefits eligible
- Access to paid time off
- Resources and support to employees