Data Analyst / Data Engineer

Identify and understand the different needs and requirements ofconsumers and data providers (e.g. transaction processing, data warehousing, big data, AI/ML) and translate business digitalization needs totechnical system requirements.

Job Description
In your new role you will:
You have solid analytical skills as well as exceptional understanding ofhow data can create a value-add and can be used for strategic decision-making. You strive for excellence and demonstrate high qualitystandards for each new challenge. You are a team player with an open-minded personality and strong communication skills who successfully cooperate with diverse stakeholders. Moreover, you are enthusiastic,self-driven and comfortable with a high degree of freedom while showing a creative and solution-oriented mindset paired with diligent and reliable execution.

• A degree in Information Technology, Business Informatics, ComputerScience or related field of studies.
• At least 5 years of relevant work experience related to DataEngineering and/or Analytics with strong data engineering focus
• Ability to translate complex business needs into concrete actions
• Excellent expertise of database concepts (e.g. DWH, Hadoop/Big Data,OLAP), related query languages (e.g. SQL, Scala, Java, MDX)
• Expertise in data virtualization (e.g. Denodo)
• Working knowledge on the latest toolsets for data analytics,reporting and data visualization (e.g. Tableau, SAP BO) as well as in Python and Spark is a plus
• Ability to work both independently and within a team
• Fluent in English, German is a plus

• Team up with our domain-, IT- and process experts to assess thestatus quo, to capture the full value of our data and to derive targetdata-ecosystems based on business needs.
• Design, build, deploy and maintain scalable and reliable data assets,pipelines and architectures.
• Team-up with domain-, IT- and process experts and especially with youkey users to validate the effectiveness and efficiency of the designeddata solutions and contribute to their continuous improvement and totheir future-proofing.
• Support data governance (Data Catalogue, Data Lineage, Meta Data,Data Quality, Roles and Responsibilities) and enable analytics use caseswith a focus on data harmonization, connection and visualization.
• Drive and/or contribute to digitalization projects incross-functional coordination with IT and business counterparts (e.g.data scientists, domain experts, process owners)

#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 applicant s experience and skills.
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