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monday.com

Senior Insights Data Analyst

Reposted 6 Days Ago
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London, Greater London, England
Senior level
London, Greater London, England
Senior level
The Senior Insights Data Analyst will analyze Sales, Partnerships, and Customer Success data to generate insights for strategic initiatives, develop dashboards, and collaborate with stakeholders to enhance business operations. This role requires robust data analysis skills and is focused on improving business health and effectiveness.
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We are looking for a Senior Insights Data Analyst to join our Revenue Strategy & Operations team. This team plays a central role in driving strategic initiatives that support 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, Partnerships, and Customer Success data, from building dashboards and writing SQL queries to generating insights that shape business strategy

Please note that this role requires attending our London office 3 days a week*


About The Role:

About The Role

  • Identify improvement areas through data analysis, aligned with the company’s strategic vision and goals.
  • 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.
  • 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

Your Experience & Skills

  • High proficiency level of SQL - a MUST
  • Experience querying DWH (Snowflake, PostgreSQL, MySQL) - a MUST
  • Experience in data modeling with BI and Analytics tools (Looker, Tableau..) - a MUST
  • 6+ years of experience as a Data Analyst/ Business Analyst / Revenue Analyst in a SaaS company, with experience working closely with GTM teams
  • B.A. / B.Sc. in Computer Science, Business Administration, Economics, Statistics or equivalent
  • Experience in creating methods for monitoring the business and working with statistical models - an advantage
  • Experience supporting client-facing departments or revenue/business operations teams - an advantage.
  • Curious, proactive, ambitious, storyteller, loves solving complex problems and excited to help others and share the success, team player.

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