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Process Mining Data Science Trainee (f/m/div) at Infineon Technologies AG Australia

Porto, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Models, Visualizations, Process Mining, User Support, Consulting, Collaboration, Documentation, Reporting, Data Manipulation, SQL, ETL Tools, Data Analysis, Data Visualization, Communication Skills, Team-Oriented Mindset, Proactive, Structured

Industry

Semiconductor Manufacturing

Description

Technical Expertise: Develop and maintain data models and visualizations for process mining while exploring and evaluating new related technologies User Support and Consulting: Support and consult users in process mining to ensure effective usage Collaboration and Requirements Gathering: Collaborate with cross-functional teams to understand business processes and user requirements Documentation and Reporting: Contribute to technical documentation and results documentation Community Engagement and Outreach: Support process mining community and outreach activities Education: Degree in Software Engineering, IT Administration, or Data Engineering, or a related field Programming Abilities: Experience in at least one programming language is an advantage Tools and Systems: Proficiency in data manipulation with at least one widely used database system, especially SQL, stored procedures, or Data Building Tool; Familiarity with ETL tools, processes, and/or middleware (e.g., MS SSIS) is a plus Data Analysis and Visualization: Experience in data visualization and interpretation Working Style: Proactive, structured with strong communication skills and a team-oriented mindset Language skills: Fluent in English 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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Responsibilities

Develop and maintain data models and visualizations for process mining while supporting users to ensure effective usage. Collaborate with cross-functional teams to understand business processes and contribute to documentation and community engagement activities.