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CLARITY

Integrates AI, analytics for revenue operations

Senior SAP Functional Consultant/Business Analyst

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMexicoNo salary listedHybrid

About the Job

Requirements

  • Solid experience in business and system analysis.
  • Understanding of the Quote to Cash process.
  • Strong analytical skills to analyze customer feedback and requirements.
  • Business proficiency in English, with English proficiency at B2+ or higher.
  • Understanding of project management methodologies.
  • Ability to work independently and as part of a team.
  • Experience and knowledge of business processes in manufacturing.
  • Strong problem-solving skills.
  • Knowledge of Microsoft Visio, Miro, MURAL, or similar tools.

Responsibilities

  • Define functional specifications through discussions with customers.
  • Gather and implement requirements.
  • Demonstrate implementation results and gather feedback.
  • Analyze data migration for mapping and transformation.
  • Train users on new systems.
  • Manage requirements and align them with clients and technical teams.
  • Create project scopes and manage backlogs.
  • Suggest and implement best practices.
  • Integrate solutions into the customer's landscape.
  • Lead and mentor functional consultants and business analysts.
  • Manage project risks.
  • Continuously learn new methodologies and systems.

Desired Qualifications

  • Experience with quoting systems.
  • Experience with SAP solutions, customer relationship management (CRM), enterprise resource planning (ERP), or configure, price, quote (CPQ) systems.
  • Experience and understanding of order management, including SOM or SD.
  • Basic knowledge of programming languages.
  • Experience working with SAP solutions.

About the Company

CLARITY

Integrates AI, analytics for revenue operations

ClarITy builds Revenue Operations (RevOps) by using AI, analytics, and workflow automation to optimize revenue across marketing, sales, billing, ERP, and revenue recognition. It works by creating outcome-based business models and implementing enterprise-wide digital transformations that unify key functions and enable data-driven decision making, often leveraging SAP and other enterprise platforms. The company differentiates itself through deep industry expertise, scalable technology architecture, proven deployment methodologies, and a balance of long-term planning with immediate operational improvements to reduce risk and cost. Its goal is to design precision-engineered revenue ecosystems that align technology with business strategy to drive sustainable growth and operational efficiency.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Germany
Founded
2019

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