Description

We are looking for a Data Analyst to join our Revenue Operations team. This team plays a central role in supporting our revenue group, guiding decisions that impact hundreds of millions in revenue. In this role, you will own the end-to-end analysis of Sales and Partnerships data, from building dashboards and writing SQL queries and generating business insights.

In this role, you will leverage technical expertise and business insight to translate data into recommendations for various stakeholders. Your work will ensure that analytics drive informed decision-making, directly supporting the organization’s key objectives and growth.

About The Role

• Develop and maintain dashboards and reports within BI tools to monitor business health and operational effectiveness.
• Define and track key business metrics, proxies, and performance targets.
• Identify improvement areas through data analysis, aligned with the company’s strategic vision and goals.
• Collaborate closely with cross-departmental stakeholders to uncover trends and identify business opportunities from a holistic, company-wide perspective.
• Support ongoing business requirements by delivering data-driven insights and solutions
  
  

Requirements

• 3+ years of experience as a Revenue Analyst/ Operation Analyst/ Data Analyst/ Business Analyst in a SaaS company, with experience working closely with GTM and BI teams
• High proficiency level of SQL - MUST
• Experience querying DWH (Snowflake, PostgreSQL, MySQL) - MUST
• Experience in data modeling with BI and Analytics tools - MUST
• Experience with data visualization tools (e.g., Tableau) - MUST
• Excellent communication skills in English - MUST
• B.A. / B.Sc. in Industrial Engineering, Business Administration, Economics, or an equivalent background
• Experience in creating methods for monitoring the business and working with statistical models - an advantage
• Curious, proactive, ambitious, loves solving complex problems and excited to help others and share the success, team player
• Ability to tell the story and present the results clearly and interestingly