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- Aufgaben: Support our Data Science team in enhancing digital business processes and driving innovative solutions.
- Arbeitgeber: Join a young, dynamic data analytics company based in Munich with global offices.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, and a vibrant startup atmosphere.
- Warum dieser Job: Gain insights into major companies while developing your skills in a supportive environment.
- Gewünschte Qualifikationen: Must be a registered student in relevant fields with coding experience in SQL or Python.
- Andere Informationen: Fluent German and good English communication skills are required.
Your mission
As a Working Student – Data Scientist and Process Mining Architect you will support our Data Science team in driving projects that focus on bringing transparency and added-value to our customers\‘ digital business processes. You will help to find meaningful and innovative solutions to improve the most critical metrics that keep our customers ahead of the competition.
With your analytical skills you will help perform data transformation, develop analyses and derive business cases. Ideally you have already gained some experience in finance, sales, procurement, or other key business sectors and have a feeling of our customers\‘ needs.
Besides improving your technical skills, you will learn how combining deep process and industry knowledge will help to develop new process mining use cases. Additionally, you will support Processand\’s international expansion and the development of our team by working on new strategic concepts.
Your profile
- You are a registered student in Computer Science / Information-oriented Business Administration, Data Analytics, Data Science, Physics, Mathematics or a comparable degree program
- Enjoy communication with teams and the solution of their problems motivates you
- You distinguish yourself through your structured way of working with which you understand complex processes and can explain them in a simple way
- You are king of presentation and communication and know exactly how to interact with our business partners
- Have practical experience in a coding language like SQL and/or Python
- IT affinity and a feel for sophisticated processes
- Have very high standards towards your own work and communicate issues early on
- Visionary approach with a sense of commitment to making a difference
- Passion for working creatively and independently and solving complex issues
- Fluent in German and have good communication skills in English
Why us?
We are a young, upbeat and rapidly growing data analytics company based in Munich (Germany) with offices in Taiwan, the US and the Czech Republic. We can offer you an extremely exciting work environment and an opportunity to gain insights into some of the largest companies in the world with whom we work very closely.
Benefits:
- An exciting position within a dynamic international setting
- A passionate and upbeat work atmosphere with an innovative start-up spirit and high degree of personal responsibility
- Flexible working hours and the ability to work from home
- A weekly fresh fruit basket, free drinks, coffee, and tea
- Work-life balance flexibility
- An incredibly steep learning curve and very flat hierarchies
- A motivated, passionate, and ambitious team
Working Student - Data Scientist and Process Mining Architect Arbeitgeber: Process& GmbH
Kontaktperson:
Process& GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student - Data Scientist and Process Mining Architect
✨Tip Number 1
Make sure to familiarize yourself with the latest trends in data science and process mining. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your coding skills, especially in SQL and Python, by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field of data science and process mining. Attend relevant meetups or webinars to connect with industry experts and gain insights that could be beneficial for your application.
✨Tip Number 4
Prepare to discuss how you can bring value to our customers' digital business processes. Think of specific examples where you've used your analytical skills to solve complex problems, as this will demonstrate your fit for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student - Data Scientist and Process Mining Architect
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant experiences in data science, process mining, and any coding languages like SQL or Python.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job profile. Emphasize your analytical skills, structured working style, and any practical experience in finance, sales, or procurement.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to solve complex issues. Mention your communication skills and how you can contribute to the team’s success.
Highlight Your Education: Since this is a working student position, clearly state your current degree program and any relevant coursework. If you have completed projects or internships related to data analytics, be sure to include those as well.
Wie du dich auf ein Vorstellungsgespräch bei Process& GmbH vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical skills and how you've applied them in previous projects. Highlight any experience you have with data transformation, analysis, or deriving business cases, as this is crucial for the role.
✨Demonstrate Your Coding Proficiency
Since practical experience in coding languages like SQL and Python is essential, be ready to share specific examples of projects where you've used these skills. If possible, mention any challenges you faced and how you overcame them.
✨Communicate Clearly and Effectively
Given the importance of communication in this role, practice explaining complex processes in a simple way. Be prepared to discuss how you would interact with business partners and teams to solve problems.
✨Express Your Passion for Process Mining
Show enthusiasm for process mining and how it can add value to customers' digital business processes. Discuss any relevant coursework or projects that demonstrate your interest and understanding of the field.
