Transform complex data into actionable insights that drive go-to-market strategy
Build and maintain Lytx’s Ideal Customer Profile (ICP) using firmographic, behavioral, and product usage data
Identify underpenetrated markets with strong revenue potential
Analyze win/loss trends to uncover drivers of deal success and failure
Partner with Sales, Marketing, and Customer Success to translate insights into actionable GTM strategies
Design and deploy a predictive churn model to identify at-risk customers and inform retention strategies
Develop statistical and machine learning models to forecast revenue, pipeline performance, and customer behavior
Apply simulation techniques (e.g., Monte Carlo) to quantify growth scenarios
Build and optimize scalable data models and pipelines using SQL
Design, develop, and maintain Tableau dashboards for executive and operational reporting
Ensure data accuracy, consistency, and accessibility across GTM systems
Own the definition, development, and delivery of executive KPIs
Deliver weekly executive dashboards summarizing company performance
Act as a strategic partner to Sales, Marketing, and Customer Success leadership

4–8+ years of experience in analytics, data engineering, or similar roles within a GTM or SaaS environment
Advanced SQL skills with experience working on large, complex datasets
Strong experience with Tableau (or equivalent BI tools)
Experience building and deploying machine learning models (Python or similar)
Proven ability to translate business problems into analytical solutions
Strong understanding of SaaS metrics (CAC, LTV, funnel conversion, churn, ARR, etc.)
Experience in Revenue Operations or closely aligned GTM functions (preferred)
Familiarity with tools such as Salesforce, Gong.io, marketing automation platforms, and data warehouses (preferred)
Experience with experimentation frameworks and growth strategy analysis (preferred)
Background in statistics, economics, data science, or a related field (preferred)

Senior Revenue Analytics Analyst

Key skills