Senior Data Analyst

Summary

Join webAI as a Senior Data Analyst and lead the data analytics strategy, building actionable Tableau dashboards, and analyzing key B2B SaaS metrics to support business decisions. Leverage your SQL and data modeling expertise to ensure data integrity and deliver impactful insights. This role requires a detail-oriented approach, strong analytical skills, and experience in high-growth SaaS environments. You will shape data analytics frameworks, identify KPIs, and create insightful reports for stakeholders. Deep-dive analyses of core B2B SaaS metrics are crucial, along with writing and optimizing complex SQL queries. Maintaining data accuracy and consistency across all analytical outputs is essential.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Familiarity with modern data stack tools such as Snowflake, BigQuery, Redshift, Fivetran, or dbt
• Experience with Python or other scripting languages for data analysis

Benefits

• Competitive salary and performance-based incentives
• Comprehensive health, dental, and vision benefits package
• $200/mos Health and Wellness Stipend
• $400/year Continuing Education Credit
• Flexible work week
• Free parking, for in-office employees
• Unlimited Approved PTO
• Parental, Bereavement Leave
• Supplemental Life Insurance