Quo

Senior Customer Experience Operations Analyst

USA · Senior

Sponsorship not specified$119k-$140kDetected 21 days ago

SQLSnowflakeData VisualizationA/B TestingAccountingForecastingCustomer SuccessZendesk

About the role

This role will serve as the primary owner of CX data strategy, business intelligence, operational analytics, capacity planning, forecasting, and executive reporting.

You will transform large volumes of customer, operational, and revenue data into actionable insights that improve customer outcomes, increase operational efficiency, and drive business growth.
Experience supporting customer-facing organizations such as Support, Contact Centers, Customer Success, Revenue Operations, or Customer Operations.

3+ years leading analytics teams, programs, or strategic initiatives.
Strong business acumen with the ability to connect operational metrics to company outcomes.
Strong experience with BI and visualization platforms such as Mode, Tableau, Sigma, Looker, or Power BI.
Experience working with large datasets and performing statistical analysis.
Strong understanding of forecasting methodologies, workforce planning models, and predictive analytics.
Experience with experimentation, trend analysis, cohort analysis, and customer segmentation.
Familiarity with AI performance analytics and automation reporting.

Experience in SaaS, telecommunications, contact center, or high-growth technology environments.
Experience with Zendesk, Mode, Retool, Snowflake, or similar platforms.
Experience partnering with Finance and Revenue Operations on planning and forecasting processes.
Workforce management or capacity planning experience layered on top of strong analytics.

You will partner closely with CX, Finance, and Data teams to ensure Customer Experience is both data-driven and directly connected to company performance.
We are looking for a Senior Customer Experience (CX) Operations Analyst to build and lead the analytics function for Customer Experience.

This listing is sourced directly from Quo's careers page and normalized into a canonical job model.