Sr. Manager CX Data and Insights

Zendesk•US - Utah - Fully Flexible, UT

7d•$139,000 - $209,000•Hybrid

About The Position

At Zendesk, we believe the future of customer success is rooted in human connection, driven by insight, and amplified by operational excellence. The Zendesk Customer Experience (CX) organization is undergoing a massive transformation, and we need a heavy-hitting Senior Analyst, to join our CX Data & Insights team to uplevel our capabilities across the business. This Individual Contributor (IC) role is designed as a "quantitative swiss army knife" who can act as a trusted advisor to CX leadership. In this role, you will bridge the gap between complex datasets and strategic execution, ensuring that our business leaders make data-driven decisions. You will be the primary architect determining whether we are focusing on the right initiatives and systematically measuring the direct business impact of changes to our global post-sales strategy.

Requirements

7+ years of experience in Strategy & Operations, Advanced Data Analytics, or Customer Success Operations within a high-growth B2B SaaS environment.
Highly proficient at utilizing generative AI interfaces to write code, connect APIs, and automate manual data extraction processes.
Advanced production-level SQL skills with deep knowledge of data warehousing frameworks (Snowflake) and multi-source data mapping.
Deep understanding of post-sales motions, including customer success lifecycles, health scoring methodologies, and financial metrics like GRR and NRR.
Strong hands-on experience pulling data from and building within core tech stacks, specifically Salesforce, Gainsight, and Gong.
Exceptional stakeholder management and communication skills, with a proven capability to translate highly technical findings into clear, strategic narratives that guide executive leadership.

Responsibilities

Drive Data-Driven Decisions: Partner directly with CX directors, managers, and executive leadership to deliver prescriptive, data-backed guidance for strategic planning.
Lifecycle & Churn Analytics: Analyze customer health scores, product usage, and support trends to perform deep-dive retrospective analyses on churn and contraction drivers.
Quantify Strategic Value: Design and execute impact measurement models that move past baseline usage metrics to quantify actual gross retention rate (GRR) improvements, net revenue retention (NRR) gains, and process efficiencies.
Planning Execution: Lead the quantitative analysis for complex special projects, including annual account carves, territory balancing, and customer segmentation strategies.
Leverage the AI Stack: using Large Language Models (LLMs like ChatGPT, Claude, and Gemini) to rapidly prototype scripts, automate ad-hoc reporting requests, and build lightweight data workflows.
Optimize Next-Gen BI Tools: Actively leverage the native AI components within Snowflake and our broader business intelligence stack to accelerate context gathering and surface predictive customer trends.
Connect Systems of Record: Map out how multi-source data flows between our primary platforms (Salesforce, Gainsight, Gong, and Snowflake) to create a unified, accurate view of the post-sales ecosystem.
Production-Level SQL Execution: Write high-performance, production-grade SQL queries directly within Snowflake to manipulate and model complex datasets.
Requirement Ownership: Serve as part of the core CX liaison to the Enterprise Data & Analytics (ED&A) team, owning downstream data requirements and standardizing metric definitions.