Senior Analyst, Marketing and Revenue Analytics

Le poste étant situé aux États-Unis, la description de poste est disponible uniquement en anglais.

As this position in based in the United States, the job description is available in English only.

Senior Analyst, Marketing and Revenue Analytics

Hybrid work model – 4 days/week in the office

Full-Time Position

This position is offered remotely for candidates located outside the greater Montreal and Las Vegas area.

Candidates based in Montreal or Las Vegas will be required to work on-site, in accordance with local practices.

We have a place for individuals with a distinct penchant for ensuring the smooth operation of our shows and events, for conceiving remarkable products, for putting their ingenuity at the service of their team, and for contributing to the enhancement of their expertise and the development of exceptional practices. Cirque du Soleil Entertainment Group relies on an ever more creative and collaborative approach to work in order to constantly push back the limits of the imagination!

At Cirque du Soleil, data is at the core of how we connect with audiences and drive performance across a global portfolio of shows. As a Senior Analyst, Marketing & Revenue Analytics, you will lead high‑impact analysis that informs marketing investment, pricing strategy, and revenue optimization.

You will operate as a subject matter expert and strategic thought partner across marketing, finance, and commercial teams. While leading complex, cross‑functional analyses, your insights will influence commercial strategy and executive decision‑making. You will play a critical role in how Cirque allocates millions in marketing investment and optimizes revenue across the globe, ensuring we reach the right audiences and maximize the impact of every performance.

• Lead complex, enterprise‑level analytical initiatives spanning marketing, ticketing, revenue management, and commercial strategy.
• Define and evolve analytical frameworks, methodologies, and KPI standards used across global business units and shows.
• Present recommendations and strategic tradeoffs to senior leadership and executive stakeholders.
• Analyze and optimize marketing performance, attribution, and incrementality across channels (paid media, CRM, partnerships, etc).
• Influence multi‑million‑dollar investment and pricing decisions through advanced modeling, forecasting, and strategic analysis.
• Drive alignment across disparate data sources, business units, and commercial stakeholders to improve consistency and scalability of insights
• Mentor and provide guidance to analysts and cross‑functional stakeholders on analytical approaches and best practices.

• Operate as a recognized expert and trusted advisor within the organization.
• Work independently and proactively, identifying opportunities without needing direction.
• Collaborate deeply across teams, acting as a trusted advisor rather than a reactive analyst.
• Balance strategic thinking with hands‑on execution, from data extraction to executive presentation.
• Build scalable, repeatable approaches rather than one‑off analyses.
• Embrace AI and advanced tooling to accelerate analysis, modeling, and insight generation.

• 7+ years of experience in marketing analytics, revenue analytics, or related fields.
• Demonstrated expertise leading complex analytical initiatives with broad organizational impact.
• Experience influencing executive stakeholders and driving decisions in highly matrixed environments.
• Strong expertise in SQL and experience with BI tools (Power BI, Tableau, Looker).
• Experience analyzing marketing performance, attribution, and/or incrementality.
• Familiarity with forecasting, pricing, or revenue optimization concepts.
• Ability to work with large, complex datasets and synthesize insights clearly.
• Strong stakeholder management and communication skills.
• Comfort operating in ambiguity and driving work forward independently.

• Experience in live entertainment, sports, travel, or ticketing industries.
• Background in econometrics, causal inference, or advanced modeling.
• Experience with Python or R for deeper analysis and automation.
• Familiarity with customer segmentation or…