Job Description

We are seeking a highly skilled Data Quality Specialist to join our Global HR Platforms team, responsible for defining and implementing data quality Key Performance Indicators (KPIs) on our global HR platforms. The successful candidate will work closely with various stakeholders, including Platform Owners, Global Service Designers, Data Analytics and Reporting team, and local HR teams to ensure high-quality data across our HR systems. The primary focus will be on implementing automated data quality checks, executing regular data quality checks, and proactively defining measures to prevent data quality issues.




In your new role you will:

Define Data Quality Framework:

+ Develop and maintain a comprehensive data quality framework for our HR global platforms that outlines data quality principles, policies, and procedures.
+ Establish data quality standards and criteria on our HR global platforms in collaboration with stakeholders like HR Platform Owners, Global Service Designers, Data and Reporting Analysts as well as local HR teams.

Implement Automated Data Quality Checks:

+ Design and implement automated data quality checks for our HR global platforms to detect and prevent data quality issues.
+ Configure data quality checks for our HR global platforms to ensure ongoing data quality monitoring.

Execute Regular Data Quality Checks:

+ Perform regular data quality checks on our HR global platforms to identify and address data quality issues to stakeholders like local HR teams.
+ Use data quality reports and dashboards to analyze data quality issues.

Proactive Measures:

Analyze data quality issues on our HR global platforms to identify root causes. Develop and implement proactive measures to prevent recurring data quality issues.

Collaboration and Communication:

+ Work closely with stakeholders like HR Platform Owners, Global Service Designers, Data and Reporting Analysts as well as local HR teams to ensure data quality standards are met.
+ Communicate data quality findings and recommendations to stakeholders like local HR teams.
+ Provide training and support to HR teams on data quality best practices.

Data Quality KPIs:

+ Define and implement data quality KPIs to measure data quality across global HR platforms.
+ Establish targets and thresholds for data quality KPIs.
+ Monitor and report on data quality KPIs regularly.

Data Quality Metrics:

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Develop and maintain data quality metrics to measure data quality performance.

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Use data quality metrics to identify areas for improvement.

You are best equipped for this task if you have:

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Master's degree in Information Technology, Human Resources or a combination of both.

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At least 3+ years of experience in data quality, data analytics, human resources or a related field in a multinational working environment in a similar role.

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Strong understanding of data quality principles, data governance, and data management.

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Experience with data quality tools and technologies

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Excellent analytical, problem-solving, and communication skills.

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Ability to work collaboratively with stakeholders at all levels.

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Experience with various HR systems (SAP, Eightfold, SuccessFactors, Kronos, ...) and platforms.

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Knowledge of data visualization tools, such as Tableau.

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Certification in data quality, data governance, or a related field.

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Excellent English skill

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicants experience and skills.

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