Senior Data Analyst, webAI

• This role is ideal for a detail-oriented professional with a strong analytical mindset and experience in high-growth SaaS environments
• 5+ years of experience as a Data Analyst, preferably in a high-growth B2B SaaS environment
• Expert-level proficiency with Tableau (including calculated fields, advanced visualizations, and dashboard best practices)
• Advanced SQL skills, comfortable writing complex queries, joins, aggregations, and data transformations
• Deep understanding of B2B SaaS business metrics, KPIs (ARR, TCV, churn, CAC, pipeline, etc.) and data sources (Hubspot, Salesforce, Netsuite, Apollo etc.)
• Excellent communication skills, with the ability to clearly present data insights to non-technical stakeholders
• Analytical and detail-oriented mindset with strong problem-solving abilities
• We seek individuals who exemplify the following:
• Truth - Emphasizing transparency and honesty in every interaction and decision
• Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients
• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement
• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others

Desirable

• As a Senior Data Analyst at webAI, you will drive data strategy, build actionable Tableau dashboards, and analyze key B2B SaaS metrics to support business decisions
• Leveraging your expertise in SQL and data modeling, you’ll ensure data integrity and deliver insights that impact growth
• Shape and lead the data analytics strategy across the organization, establishing frameworks and best practices for measuring and optimizing performance
• Identify critical KPIs and build intuitive, actionable Tableau dashboards and reports that provide clear insights to stakeholders across the Go-to-Market teams
• Perform comprehensive deep-dive analyses on core B2B SaaS metrics, including ARR, churn, retention, Customer Acquisition Cost (CAC), Lifetime Value (LTV), pipeline health, and forecasting accuracy
• Write, maintain, and optimize complex SQL queries to extract, cleanse, transform, and model data, ensuring data integrity and usability for analyses and reporting
• Own the accuracy, consistency, and integrity of all core SaaS metrics, ensuring alignment across dashboards, reports, and business systems
• Proactively identify, diagnose, and resolve data discrepancies, ensuring data accuracy and consistency across all analytical outputs