Strategy & Analytics Manager - Customer Experience Efficiency

In order to enable millions of users to explore, interact with, and participate in live events worldwide, we’re seeking a Strategy & Analytics Manager to drive efficiency across the customer experience stack for both buyers and sellers, with the goal of reinvesting these efficiency gains into customer centric retention building growth.   

Location: Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA or San Francisco, CA

As a Strategy & Analytics Manager, you’ll play a hybrid role at the intersection of analytics, strategy, product, operations and finance. You’ll use analytics to identify high-impact efficiency opportunities and lead by influence cross-functionally to execute on these ideas. You’ll be partnering closely with engineers, analysts, operations and finance leaders. 

• →Lead the customer experience efficiency strategy: Put in place the quantitative framework to measure efficiency and identify opportunities.
• →Optimize growth opportunities and reduce inefficiency: identify high-spend/low-return areas, size opportunities, and lead cross-functional programs to remove, reduce, or reallocate spend; track benefits to the P&L.
• →Own the multi-hundred million customer experience cost data platform end-to-end: define the model, build pipelines with Engineering/Analytics, and deliver accurate, near real-time views of cost, waste, and ROI.
• →Attribute every dollar spent on customer experience: tie spend to policies, products, workflows and customer cohorts; reconcile with Finance to create one source of truth, available in real time.
• →Turn policy into P&L: quantify the financial impact of operational and product choices; embed cost/benefit guardrails into planning, experimentation, and business cases.
• →Bridge Operations and Finance: establish trust through crisp reconciliation, driver-based forecasting, and explainable variances—building confidence up to and including the CFO. 

• →4-8+ years of experience in strategy, analytics, business operations, consulting or finance, ideally in a tech or marketplace environment; operating comfortably across business and Finance.
• →Excellent analytical and technical skills: strong SQL proficiency and a solid understanding of database architecture; you wouldn’t be out of place on an Analytics Engineering team.
• →Track record as a highly effective operator: Demonstrated success in owning cross-functional initiatives from concept through execution.
• →Exceptional communication: You simplify complexity, write tight narratives, and present confidently to senior leadership (up to CFO/COO).