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meet with mentors, make new friends across the globe and create a thriving personal network.
gain cross-functional skills from our virtual and in-person learning sessions, diverse subject-matter experts, and project deliverables.
with Internship Experience Project in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.
In this role, you will be part of the Customer Advocacy team and support our global Customer Success Partners (CSPs) by building best-in-class customer experiences. Focused on Solution Adoption, the intern/work student will support at least one of the various lines of business: S/4HANA Cloud, Digital Supply Chain, and Finance.
Solution Adoption
Help Customer Success Team in the fields of process improvement, project management and communication strategy
Build data reports, dashboard, presentations and data analysis tasks
Develop Metrics standard to drive usage and consumptions for Cloud Solutions
Operation Support
Collect, clean and process large quantities of data
Navigate through different data tools to ensure delivered business outcomes
Develop tools and SOP to help scale and increase the business insights
Stakeholder Management
Collaborate across teams to deliver information, resources, and best practices
Engage and align with Customer Success Partners, Product and Solution Managers, Marketing and Analytics Teams
Key responsibilities will relate to:
Customer Tracking
Customer Relationship Management
Data management and analytics
We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful, innovative projects and are energized by lifelong learning.
You are a currently enrolled student at a university in Technology or Commerce related bachelor's degree (Business Administration, Marketing, Economics, Management Information System (MIS) or Business Technology Management).
Strong communication skills, both written and spoken in English.
Team-oriented with a self-starter attitude, demonstrating the ability to work with minimal supervision.
Proficiency in synthesizing and analyzing large data sets, coupled with a creative and pragmatic problem-solving approach.
Passionate about technology and business.
Top skills or competencies:
Strong Relationship/Interpersonal skills
Adeptness in data analysis and Excel,
Understand and code in Python,
Data Management skills,
Demonstrated Self Starter
Strong written communication skills (email, PPT, case studies)
*Please, dd your CV in English
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