SAP Senior Data Validation Specialist functional usage adoption data 

Czechia, Prague, Prague 

554774219

What you'll do:

Data Validation and Quality Assurance:

• Design, develop, and execute comprehensive data validation procedures to ensure accuracy and completeness.
• Identify, investigate, and resolve data discrepancies by collaborating with relevant teams.
• Maintain data validation documentation, including checklists, test cases, and issue logs.

· Data Testing and Verification:

• Perform end-to-end testing on data pipelines, migrations, and transformations to ensure data integrity.
• Validate data across multiple systems and sources to confirm alignment with business requirements.
• Develop automated validation scripts or use existing tools to streamline testing processes.

· Data Quality Management:

• Establish and monitor data quality metrics, including accuracy, completeness, and consistency.
• Implement and enforce data governance policies to maintain data integrity.
• Work with stakeholders to define data standards and validation criteria.

· Collaboration and Reporting:

• Partner with data engineers and IT teams to identify and address root causes of data quality issues.
• Provide detailed reports and visualizations of validation findings to key stakeholders.
• Offer insights and recommendations for improving data accuracy and processes.

· Tool and Process Optimization:

• Leverage advanced tools and technologies such as SQL, Python, or ETL platforms to optimize data validation workflows.
• Stay up-to-date on industry trends and emerging tools to enhance validation processes.
• Implement automation solutions to reduce manual validation efforts and improve efficiency.

What you bring:

Education:Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

Minimum 5-7 years of experience in data analysis, validation, or related roles, ideally within SAP.

Technical Skills:

• Proficiency in validating large datasets.
• Experience with data visualization tools (e.g. Power BI, or similar tools).
• Proficiency in SAP tools such as SAP BW/BI, SAP HANA, SAP Analytics Cloud.
• Familiarity with Agile or Scrum methodologies for project management.
• Strong skills in SQL, Python, or other scripting languages for data analysis and automation is a plus.
• Knowledge of ETL tools and processes, particularly in SAP environments is a plus

Soft Skills:

• Strong attention to detail and problem-solving skills.
• Excellent verbal and written communication abilities.
• Languages: English, German is a plus
• Ability to work collaboratively in a team environment and interact with stakeholders at all organizational levels.
• Ability to manage multiple priorities and deliver results in a fast-paced environment.

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