Responsibilities

• Serve as the primary analytics partner for Talent Sales and Marketing, collaborating with Analytics and Talent Sales colleagues to define and evolve our mix of standard and customized analytics services
• Embed into pitch development, client commercial strategy initiatives, and client renewal conversations to provide data-driven narratives and measurement insights that demonstrate client value and marketability.
• Surface trends, benchmarks, and audience insights that help talent teams identify new business opportunities, position clients competitively, and articulate unique value in the marketplace.
• Collaborate with Sales Operations to evolve and manage the intake and prioritization process for new deliverables
• Partner with internal Analytics peers along with Talent Sales & Marketing colleagues to define measurement approaches for endorsement deals, more tactical paid media campaigns and emerging formats, ensuring the agency can report effectively on the work it sells.
• Design and own the measurement frameworks that define how talent performance is evaluated across the agency — including KPI architecture, benchmark development, data standardization, and methodology documentation.
• Develop and maintain standardized, scalable Analytics solutions that give account and talent teams consistent, reliable sources of client insights across key use cases such as audience profiling, brand fit analysis, commercial opportunity landscapes and others as appropriate
• Build methodologies for sentiment analysis, brand conversation tracking, earned media valuation, and audience quality assessment — ensuring all approaches are documented, repeatable, and defensible in client-facing contexts.
• Lead the evaluation and selection of third-party analytics vendors and platforms (e.g., CreatorIQ, Brandwatch, ListenFirst and audience insights solutions); serve as the internal owner and day-to-day expert for the agency's talent/creator analytics tool stack.
• Work closely with Analytics team partners to communicate analytical requirements, inform what data gets captured and surfaced, and ensure infrastructure decisions reflect the needs of the measurement function.