As the Principal Data Analyst for Customer Success (CS), you will be the strategic engine behind our data-driven decision-making.
You are not just a "data provider”, you are a business partner who understands the Go-To-Market (GTM) lifecycle and Customer Success.
This role is a critical pillar of the CS Operations team, responsible for transforming raw customer data into actionable strategies that improve retention, identify expansion opportunities, and optimize the cost-to-serve.
You will operate with a high degree of independence, navigating complex datasets to find the "story" behind the numbers, interpreting trends for executive leadership, and providing proactive recommendations to the business.

Total Experience: 10+ years of professional experience in data analytics, business intelligence, or data science.
GTM Expertise: Minimum of 5 years Go-To-Market (GTM) Analyst Operations (Sales, Marketing, or Customer Success).
Analytical Rigor: Expert-level SQL skills and proficiency in data visualization tools (e.g., Domo, Tableau, PowerBI, Qlik). Experience with Python or R for statistical analysis is a plus.
Business Acumen: Deep understanding of SaaS business models, customer lifecycles, and the mechanics of recurring revenue.
Interpretive Mindset: A proven track record of not just delivering a dashboard, but explaining why the data looks the way it does and what the business should do next.
Independent Operator: Demonstrated ability to manage multiple high-priority projects simultaneously with minimal supervision.
Customer Success Background: Direct experience in or supporting a Customer Success organization.
Tooling: Experience with CS-specific platforms (e.g., Gainsight, Totango, ChurnZero), Gong, and Salesforce CRM.
AI: Must have high level of experience and examples using AI tools to help interpret, forecast and ideally predict what the data shows
Strategy Consulting: Prior experience in strategy consulting or a similar high-stakes advisory role is highly valued.

Principal Data Analyst – GTM

Key skills