Sr. SAP Data Analyst
Budget: €18 – €36 EUR
• Strong expertise in analyzing and profiling source and target data models.
• Proficiency in creating source-to-target data mapping documents to guide data pipeline development efforts.
• Solid understanding of data modeling concepts, including logical and physical data models.
• Experience working with supply chain datasets and familiarity with related processes.
• Hands-on experience with SAP ECC, HANA, Ariba, and Salesforce data sets.
• Ability to extract, mine, and validate data for various scenarios, ensuring alignment with business requirements.
• Problem-solving skills to address unforeseen data scenarios in collaboration with client and development teams.
• Exceptional written and verbal communication skills for effective collaboration and documentation.
• Flexibility to provide overlap with US working hours at least until 12PM CST to support global teams.
• Proactive communication and stakeholder engagement, including timely updates, risk identification, and seeking clarification when requirements are ambiguous.
• Agility in fast-paced environments, with experience prioritizing and managing multiple tasks and projects simultaneously, balancing technical depth with delivery speed.
• Proficiency in creating source-to-target data mapping documents to guide data pipeline development efforts.
• Solid understanding of data modeling concepts, including logical and physical data models.
• Experience working with supply chain datasets and familiarity with related processes.
• Hands-on experience with SAP ECC, HANA, Ariba, and Salesforce data sets.
• Ability to extract, mine, and validate data for various scenarios, ensuring alignment with business requirements.
• Problem-solving skills to address unforeseen data scenarios in collaboration with client and development teams.
• Exceptional written and verbal communication skills for effective collaboration and documentation.
• Flexibility to provide overlap with US working hours at least until 12PM CST to support global teams.
• Proactive communication and stakeholder engagement, including timely updates, risk identification, and seeking clarification when requirements are ambiguous.
• Agility in fast-paced environments, with experience prioritizing and managing multiple tasks and projects simultaneously, balancing technical depth with delivery speed.