HR Data Integrity & SAP Analytics Lead

Danone; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Learning resources access (Campus X &

Private medical care

Multisport

Employee discounts

Job summary

Danone is seeking an HR Data Management Specialist to ensure data quality across SAP SuccessFactors and connected systems. You will support reporting and analytics, drive data governance, and partner with HR teams to improve data processes.

The role requires analyzing data quality, maintaining data models, and delivering reliable HR insights in a matrixed, international environment. Hybrid work is offered in Warsaw.

Qualifications

• Experience in HR data governance and data quality control.
• Ability to design efficient data flows for HR systems.
• Understanding of SAP SuccessFactors data model and reporting.
• Strong English communication and collaboration in a matrixed environment.

Responsibilities

• Ensure accuracy, quality, and consistency of HR data across SAP SuccessFactors and connected platforms.
• Monitor data quality, identify discrepancies, coordinate corrective actions with stakeholders.
• Support data synchronization between core HR systems and connected apps.
• Collaborate with HR Data Stewards to improve data management practices.
• Publish HR data quality KPIs and dashboards from multiple regions.
• Assist design, testing, and validation of SAP SuccessFactors reports.
• Maintain and enhance the SAP SuccessFactors HR Data Model with data owners.
• Identify opportunities to improve processes, data integrity, and user experience.
• Act as SME on HR data, supporting reporting needs and best practices.

Skills

Data governance

Data modeling

BI tools

Power BI

English fluency

Team leadership

HR data understanding

Process improvement

Tools

Power BI

Job description

Danone is seeking an HR Data Management Specialist to ensure data quality across SAP SuccessFactors and connected systems. You will support reporting and analytics, drive data governance, and partner with HR teams to improve data processes.

The role requires analyzing data quality, maintaining data models, and delivering reliable HR insights in a matrixed, international environment. Hybrid work is offered in Warsaw.