Deal Desk Analyst

Cloudbeds Latin America

Company

Cloudbeds

Location

Latin America

Type

Full Time

Job Description

Together we're on a mission to power every property in the world and to do that we need to find the best talent in the world. That's why we're on the search for a superstar Deal Desk Analyst.

As a Deal Desk Analyst you will be responsible for supporting the global sales organization in structuring deals leveraging pricing strategy quote management contract review and the overall deal approval processes. This position works closely with Finance Support and Sales Ops to ensure deals are structured and negotiated to comply with Cloudbeds policies.

Location: Remote - (Latin America) - shift: 9am to 6pm (UTC time)

What You Will Do:

  • Assist with the day to day of pricing approvals ensuring compliance with approved pricing strategies

  • Provide proactive support to the global sales team in order to help drive new deals as well as expansion opportunities

  • Work cross-functionally to identify acceptable options to facilitate deal closure.

  • Maintain and enforce agreed-upon deal close dates & packages

  • Day to Day reconciliation of closed deals to ensure timely and accurate reporting of Sales Numbers

  • Work as the liaison between the sales and billing team when it comes to issues/questions regarding invoicing promos etc.

  • Identify and make recommendations for process improvements; assist or drive implementation

  • Ad hoc responsibilities as needed to support the sales team

You’ll Succeed With:

  • Experience in Sales Sales Operations Marketing Operations Business Insights

  • Highly organized customer-focused innovative and strong attention to detail

  • Excellent written and verbal communication skills

  • Problem solving and collaboration skills

  • Experience in prioritization of deliverables and tasks

  • Proven experience working with sales technology and analytical tools such as Excel/Sheets and Salesforce. Ability to conduct sophisticated and creative analysis of complex data and translate the findings into actionable results

Apply Now

Date Posted

01/21/2025

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