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You will be updated with latest job alerts via emailThe professional will assist in the maintenance and rollout of the Deal Teams Data-Driven transformation project with the main objective of implementing the ideal globally. This person will support the iDeal Global Rollout aiding regional teams to integrate iDeal into their end-to-end deal-making process.
Responsibilities
Assist in managing the iDeal global rollout project
Help in creating and updating the iDeal user support platform
Contribute ideas on how to apply AI in End-to-End Deal Making processes
Assist in designing a better experience and journey to build the deal using iDeal
Analyze data generated and gathered by iDeal
Develop data-driven pre-approved deal frameworks
Provide reporting and deal performance assessments by Geography Vertical Sales Orgs
Document best practices and lessons learned
Map external data (macroeconomic and market level)
Day-to-day management of iDeal admin modules:
Update drivers and parameters (e.g. actuals acquiring fees yields)
Update Visa definitions and requirements (e.g. P&L breakouts KPI calculations and thresholds)
Manage user and entitlement (e.g. different profiles for users/admins)
Qualifications :
Bachelors degree or higher in Computer Science Statistics Mathematics or related field
At least 6 years of experience in data analysis and modeling
Strong communication and presentation skills
Ability to work independently and in a team environment
Curious and eager to learn new skills and technologies
Proficiency in data visualization tools (Power BI Tableau)
Proficiency in Python SQL and data analysis tools
Knowledge of machine learning concepts and techniques (e.g. regression classification clustering dimensionality reduction)
Fluent English
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Full-time