CX Analytics Manager

About Crunchyroll

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.

Join our team, and help us shape the future of anime!

About the role

Crunchyroll is seeking a Senior CX Analytics Manager to lead advanced analytics efforts within our global Customer Experience organization. Reporting to the Director, CX Insights & Analytics, this role serves as a central analytics hub supporting CX Insights Managers, Contact Center Operations, Vendor Partners, Product teams, and business stakeholders across the company.

This leader will drive the development of analytical frameworks, predictive models, performance measurement systems, and strategic insights that improve customer satisfaction, operational efficiency, retention, and business outcomes. The ideal candidate combines strong technical expertise with business acumen and a passion for translating complex data into compelling narratives that influence executive decision-making.

This role is highly visible and requires close partnership with leaders across CX, Product, Subscription, Marketing, Trust & Safety, Finance, Data Engineering, and Business Intelligence teams.

Lead Advanced Analytics Strategy

• Develop and execute the CX analytics roadmap aligned with customer and business objectives.
• Establish scalable analytical frameworks to measure customer experience performance across support channels, products, and customer journeys.
• Identify opportunities to improve customer satisfaction, reduce effort, increase retention, and optimize operational performance.
• Serve as a strategic thought partner to CX leadership on emerging trends, risks, and opportunities.

Deliver Actionable Business Insights

• Translate large, complex datasets into clear recommendations that drive measurable business outcomes.
• Conduct deep-dive analyses to uncover root causes of customer issues, operational inefficiencies, and customer behavior patterns.
• Lead customer segmentation, journey analytics, cohort analysis, retention analysis, and predictive modeling initiatives.
• Create executive-level narratives and presentations that communicate insights effectively to senior leadership.