Consumer & Small Business - Media Modeling Associate

Bank of America•Newark, NY

1d•Hybrid

About The Position

The Media Modeling Associate works in the Analytics, Modeling and Insights (AMI) organization, turning market, media, and consumer data into clear, actionable insights that guide business decisions. This hybrid role combines insights strategy with hands-on analytics, bridging modeling work and the business partners who rely on it. The role calls for someone able to connect technical modeling with business needs, coordinate work across teams and timelines, and support better decisions. The associate works with databases and AI-enabled tools to understand how market, media, and consumer data are structured and used as model inputs. They interpret outputs from approaches such as marketing mix modeling (MMM), attribution, and customer analytics, and develop recommendations tied to business outcomes. They also plan insights initiatives, coordinate with cross-functional teams and stakeholders, and communicate findings to technical and non-technical audiences. This is a first-shift position with 40 hours per week. Listed work locations are New York, New York, and Richmond, Virginia. The annualized pay range is $123,000–$181,700, with offers based on experience, education, and skill set. The role is eligible for an annual discretionary incentive plan and benefits, including paid time off.

Requirements

Combined marketing and analytics background, with experience in market research, consumer insights, media measurement, and/or marketing effectiveness, along with hands-on exposure to modeling and analytics.
Working knowledge of MMM, attribution, customer analytics, or similar modeling approaches, and ability to interpret their outputs.
Strong communication skills, including the ability to translate analytical findings into clear business recommendations and build relationships with business partners.
Strong problem-solving and insight-generation skills, including curiosity to look beyond the data to the underlying business question.
Project management skills, including planning, timeline tracking, and prioritization across multiple workstreams.
Technical and data skills, including fluency in Python and SQL.
Understanding of databases and how data is structured and used in modeling, including relational and non-relational databases such as 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 to accelerate analysis, insight development, and operational efficiency while following applicable controls and standards.

Responsibilities

Understand the data foundation by working with databases and AI-enabled tools and learning how market, media, and consumer data are structured and used as model inputs.
Interpret outputs from marketing mix modeling (MMM), attribution, customer analytics, and similar approaches to identify performance drivers, growth opportunities, and areas for optimization, while recognizing underlying assumptions and limitations.
Generate clear, actionable 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.