Remote Global Cross-Sales & Revenue Analyst

Ladders

United States

Remote

USD 110,000 - 130,000

Full time

5 days ago
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Benefits offered by this job

Inclusive environment
Growth opportunities
Dynamic culture

Job summary

Ladders is seeking a Senior Global Cross-Sales & Revenue Analyst to join our team. This role focuses on cross-sell analysis, revenue trend evaluation, and business intelligence reporting, partnering with sales, product, finance, and operations to translate data into insights.

Remote in the US, you will develop dashboards, support strategic decision-making, and drive efficiency and revenue growth through data-driven recommendations.

Qualifications

  • 8+ years experience in business analysis, revenue analytics, or related fields.
  • Strong analytical and problem-solving skills for interpreting complex datasets.
  • Experience collaborating with cross-functional teams to define business requirements.
  • Advanced proficiency in Excel, PowerPoint, Visio, and reporting tools for executive presentations.

Responsibilities

  • Lead analysis of cross-sell opportunities and revenue trends to identify growth areas.
  • Partner with sales, product, finance, and operations to create scalable reporting solutions.
  • Develop and maintain dashboards and business intelligence tools for actionable insights.
  • Drive data-driven decision-making by evaluating business performance and customer trends.
  • Lead complex projects, providing strategic recommendations to enhance efficiency and revenue.

Skills

Analytical thinking
Data storytelling
Project management
Stakeholder influence

Tools

Excel
PowerPoint
Visio

Job description

Ladders is seeking a Senior Global Cross-Sales & Revenue Analyst to join our team. This role focuses on cross-sell analysis, revenue trend evaluation, and business intelligence reporting, partnering with sales, product, finance, and operations to translate data into insights.

Remote in the US, you will develop dashboards, support strategic decision-making, and drive efficiency and revenue growth through data-driven recommendations.

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