Principal Data Analyst - GTM

Restaurant365•Irvine, CA

2d•$116,000 - $174,000•Hybrid

About The Position

Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365âs culture is focused on empowering team members to produce top-notch results while elevating their skills. Weâre constantly evolving and improving to make sure we are and always will be âBest in Classâ ... and we want that for you too! This role requires a hybrid work schedule based out of one of our office locations: Austin, TX; Irvine, CA; or Akron, OH. 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 providerâ, 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.

Requirements

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

Nice To Haves

Strategy Consulting: Prior experience in strategy consulting or a similar high-stakes advisory role is highly valued.

Responsibilities

Strategic Insights & Recommendations: Move beyond reporting to provide deep-dive analysis on customer health, churn drivers, and product adoption. Proactively identify risks and opportunities within the CS segment.
GTM Lifecycle Analysis: Partner with CS leadership to define and track forecasting of retention as well as key performance indicators (KPIs) such as NRR (Net Retention Rate), GRR (Gross Retention Rate), and Time-to-Value.
Advanced Data Modeling: Design and maintain data models that support forecasting for the CS pipeline, resource allocation, and customer segmentation.
Operational Partnership: Act as a critical member of the CS Ops team to ensure data integrity across our tech stack (Salesforce, Gainsight, Snowflake, etc.) and translate operational needs into technical requirements.
Independent Project Leadership: Lead end-to-end analytical projects from initial hypothesis to executive presentation. Work independently to solve data gaps and process inefficiencies.
Storytelling with Data: Translate complex technical findings into clear, concise, and compelling narratives for non-technical stakeholders and executive leadership.