Sr. Manager, Global Analytic

10 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

What You’ll Be Doing

  • Revenue Operations:
  • Act as a strategic business partner to the VP of Revenue, providing data-driven insights and operational support.
  • Design and implement best-in-class forecasting methodologies, pipeline management, and sales performance dashboards.
  • Establish sales metrics and KPIs to track performance, identify opportunities, and enhance decision-making.
  • Optimize sales processes and systems to drive efficiency and automation.
  • Partner with affiliate managers to ensure data integrity and insights that help drive revenue growth.
  • Building & Leading a Revenue Analytics Team
  • Hire, mentor, and develop a high-performing team of RevOps analysts to support the Sales and Marketing teams.
  • Coach and train analysts to interpret data, generate insights, and provide actionable recommendations to sales and marketing leadership.
  • Foster a culture of continuous improvement, collaboration, and innovation within the RevOps function
  • Marketing & Demand Generation Support:
  • Expand support to the VP of Marketing by implementing lead-scoring models, attribution analysis, and marketing top-of-the-funnel optimization.
  • Enhance reporting on marketing performance metrics and ensure alignment between marketing and sales initiatives.
  • Drive improvements in campaign effectiveness by integrating data insights across sales and marketing teams.

What You’ll Bring

  • 10+ years of experience in Revenue Analytics, Sales Analytics, or Business Operations in a SaaS environment.
  • Proven experience partnering with senior sales and marketing leaders to drive revenue growth.
  • Strong expertise in forecasting, pipeline management, sales analytics, and CRM administration (Salesforce, HubSpot, or similar tools).
  • Experience in building and managing high-performing teams.
  • Deep understanding of B2B SaaS sales cycles, affiliate marketing, and performance-based revenue models.
  • Use AI to experiment with tools that streamline workflows, unlock insights, and enhance decision-making
  • Strong analytical skills with the ability to translate data into actionable insights.
  • Understanding of BI Tools like – Tableau
  • Understanding of BI – SQL, Snowflake
  • Excellent communication and stakeholder management skills.

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