Auf einen Blick
- Aufgaben: Lead process improvement initiatives and analyze data to optimize business processes.
- Arbeitgeber: Join a collaborative and socially responsible team in Basel focused on academic contributions.
- Mitarbeitervorteile: Enjoy full-coverage insurance, professional growth opportunities, and team-building events.
- Warum dieser Job: Make a real impact through data analysis while working in a diverse and supportive environment.
- Gewünschte Qualifikationen: Master's degree preferred; 3-5 years of experience in data analysis or business analysis required.
- Andere Informationen: BPMN knowledge is a plus but can be learned on the job.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
To strengthen our IT and product teams, we are looking for a Data Analyst (Processes) to lead initiatives focused on process improvements and process mining. The ideal candidate should have strong skills in data analysis, ideally previous experience in process mining, and general business process management knowledge. This is a full-time, permanent position based in our office in Basel.
Tasks & Responsibilities
As the Data Analyst (Processes), you will be responsible for:
- Collaborating with business stakeholders to distil and analyze business requirements.
- Performing process analysis using data from log files and databases (process mining).
- Documenting processes, including creating process models using standard notations (such as BPMN, can be easily learned on-the-job).
- Managing and coordinating business process change projects.
Additionally, you will:
- Support business stakeholders (editorial, production, finance) in process optimization discussions.
- Provide consultancy to editorial, production, and other departments on process-related matters.
- Act as a key collaborator with the development teams that are working on workflow-related software.
- Advocate for best practices in process management and continuous improvement.
Requirements
- Education and Work Experience: A university degree (Master’s preferred) in Information Systems, Computer Science, or a related field. Alternatively, a business degree with significant relevant work experience. 3-5 years of experience as a business analyst, data analyst, or similar role (or equivalent experience in workflow-related enterprise applications).
- Process Mining & Data Analysis: Strong ability to gather, analyze, and interpret data (from logs, databases, or data sets) to identify patterns and trends and support data-driven process improvements. SQL and data analysis skills are required for this role: you have experience in a general-purpose programming language suitable for data analysis (Python, R), or alternatively previous experience with process mining tools.
- Problem-Solving and Critical Thinking: Strong aptitude for identifying process inefficiencies, diagnosing root causes, and developing practical solutions.
- Process Mapping and Documentation: Proficiency in business process management and experience with BPMN process flows are a plus. (BPMN is not a must and can be learnt on the job.)
- Project & Change Management: Familiarity with project and change management principles to manage process improvement initiatives and meet deadlines.
- Continuous Improvement Mindset: A solid understanding of agile and lean methodologies.
What we offer
- The opportunity to contribute to the academic/scientific community;
- Support for a healthy lifestyle;
- Team bond strengthening through team-building events;
- Professional growth opportunities with our global training system;
- Working in a collaborative, diverse, and socially responsible team;
- Company retreat facility;
- Full-coverage insurance for accidents/daily sickness;
- Prime location near Basel train station and city center;
#J-18808-Ljbffr
Data Analyst (Processes) 100% Arbeitgeber: TN Switzerland
Kontaktperson:
TN Switzerland HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analyst (Processes) 100%
✨Tip Number 1
Familiarize yourself with process mining tools and methodologies. Since the role emphasizes process mining, having hands-on experience or even a basic understanding of these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the field of data analysis and process management. Attend relevant meetups or webinars to connect with industry experts who might provide insights or even referrals for the position.
✨Tip Number 3
Brush up on your SQL and programming skills, particularly in Python or R. Being able to demonstrate your technical proficiency during discussions can significantly enhance your candidacy.
✨Tip Number 4
Prepare to discuss specific examples of how you've identified and solved process inefficiencies in past roles. Real-world examples will showcase your problem-solving abilities and critical thinking skills, which are crucial for this position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analyst (Processes) 100%
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Analyst (Processes) position. Understand the key responsibilities and required skills, especially in data analysis and process mining.
Tailor Your CV: Customize your CV to highlight relevant experience in data analysis, process mining, and business process management. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Discuss your experience with SQL, data analysis tools, and any familiarity with BPMN or process mapping. Show enthusiasm for contributing to process improvements.
Highlight Continuous Improvement Mindset: In your application, emphasize your understanding of agile and lean methodologies. Provide examples of how you've applied these principles in past roles to drive process improvements.
Wie du dich auf ein Vorstellungsgespräch bei TN Switzerland vorbereitest
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis in detail. Highlight specific projects where you used SQL or programming languages like Python or R to analyze data and derive insights. This will demonstrate your technical proficiency and ability to handle the responsibilities of the role.
✨Understand Process Mining
Familiarize yourself with process mining concepts and tools, even if you haven't used them extensively before. Being able to discuss how you would approach process analysis using log files and databases will show your proactive attitude and readiness to learn on the job.
✨Prepare for Collaboration Scenarios
Since the role involves collaborating with various business stakeholders, think of examples from your past experiences where you successfully worked with different teams. Be ready to explain how you gathered requirements and facilitated discussions around process optimization.
✨Demonstrate a Continuous Improvement Mindset
Discuss your understanding of agile and lean methodologies and how you've applied them in previous roles. Share specific instances where you identified inefficiencies and implemented solutions, showcasing your problem-solving skills and commitment to continuous improvement.