Responsibilities

• Support audience strategy development, including segmentation, persona development, and audience portfolio design.
• Build and maintain audiences using first-party (1PD), second-party (2PD), and third-party (3PD) data sources within Omni and other audience platforms.
• Research and monitor market trends, competitive intelligence, and emerging data sources to inform audience targeting and strategy recommendations.
• Create and deliver audience insight presentations and recommendations for client stakeholders.
• Support 1PD onboarding and data integration into audience platforms.
• Partner with Planning and Activation teams to ensure effective audience implementation across addressable channels.
• Help to identify opportunities to use first-party (1PD) and third-party (3PD) data to improve ability to deliver against client goals and increase media engagement.
• Maintain hands-on proficiency with audience tools and data platforms.
• Develop and share knowledge of data sources, audience capabilities, and best practices, contributing to team learning on audience technology and approaches.
• Leverage AI and automation tools to enhance audience analysis, segmentation, and reporting efficiency.

Requirements

• 5–7 years of professional experience in audience strategy, media analytics, paid media, or a related field.
• 2–3 years of agency experience with hands-on work in audience development and analytics.
• Hands-on experience with audience platforms and tools (e.g., Omni, LiveRamp, Adobe, The Trade Desk, Google Marketing Platform, Acxiom, Nielsen, ComScore, MRI Simmons, YouGov).
• Working knowledge of 1PD, 2PD, and 3PD data sources and audience activation.
• Strong understanding of audience segmentation, targeting, and media addressability.
• Experience building and analyzing audiences within various platforms (DMPs, DSPs, social media platforms, etc.).
• Familiarity with data analysis and visualization tools (e.g., Excel).
• Strong analytical skills with the ability to work with data and draw meaningful conclusions.
• Solid communication, interpersonal, and presentation skills.
• Ability to manage multiple projects and work effectively in a collaborative environment.

Preferred

• Bachelor’s degree in marketing, business, or a related field.
• Experience working with financial services and technology software brands.
• Knowledge of advanced analytics, including predictive scoring or propensity modeling.
• Experience with SQL or other data querying languages.