Auf einen Blick
- Aufgaben: Assist in data extraction, analysis, and reporting for audit projects.
- Arbeitgeber: Join Munich Re, a global leader in reinsurance with a focus on innovation.
- Mitarbeitervorteile: Enjoy a culture of diversity, continuous learning, and career mobility.
- Warum dieser Job: Gain hands-on experience in data analytics while impacting real-world auditing processes.
- Gewünschte Qualifikationen: Pursuing a degree in a quantitative field; strong analytical skills required.
- Andere Informationen: Internship can be full- or part-time, ideally lasting six months.
Intern Data Analytics (m/f/d)* Location Munich, Germany Based on our mission of «impactful, agile auditing that really matters!», the division Group Audit provides independent, objective assurance and advice to numerous clients (e.g. Audit Committees, Boards of Management, Senior Leaders within Munich Re Group). As part of the Global Audit Community, Group Audit acts as center of competence to assess whether processes, structures, systems in the various departments like Underwriting, Claims, Accounting etc. fulfil internal and external requirements and recommends improvements in processes and controls. To support our audits in the area of data analytics, we have a dedicated team of data analysts who use various tools and methods to extract, transform and analyse data from different sources. We are seeking a highly motivated and detail-oriented Data Analyst Intern to join our audit team. As a Data Analyst Intern, you will assist in collecting, analyzing, and interpreting large data sets to help identify anomalies, trends, risks, and opportunities for improvement. This is an excellent opportunity to gain hands-on experience in data analysis and auditing, and to develop your skills in a dynamic and supportive environment. Becoming an intern in Group Audit will provide you the chance to gain insights into the processes and work practices of different departments of the whole international reinsurance group. Your internship can be full- or part-time and should last ideally six months. Your job: Support the MR Group Audit team in regular audit activities and projects: Assist in data extraction, cleaning, and analysis using various tools and techniques Develop and maintain databases, spreadsheets, and other data management systems Analyze data to identify trends, anomalies, and areas for improvement Create reports, dashboards, and visualizations to communicate findings to stakeholders Collaborate with audit team members to identify and assess risks, and to develop audit plans Develop and maintain documentation of data analysis and audit procedures Your profile: Currently pursuing a degree in a quantitative field such as mathematics, statistics, computer science, or economics Strong analytical and problem-solving skills, with attention to detail and ability to work accurately Proficiency in Microsoft Office, particularly Excel, and ability to learn new software and tools quickly Familiarity with data analysis and visualization tools such as Tableau, Power BI, or Python Strong communication and interpersonal skills, with ability to work effectively in a team environment Ability to work in a fast-paced environment and meet deadlines Familiarity with auditing concepts and principles is a plus Fluency in English (additional languages are a plus) Students of countries outside the EU are requested to send their residence/work permit. About us As the world\’s leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel. Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. Sounds like you? Push boundaries with us and be part of Munich Re. Our employees are our greatest strength. That\’s why we offer them a wide range of benefits. Unlock your potential Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better. Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth. Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you. Münchener Rückversicherungs-Gesellschaft Silke Rößler/ Oksana Kern Coordination Students Program Königinstraße 107 80802 München GERMANY * Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunity employer. Severely disabled candidates will also be prioritised, if equally qualified. Apply Now!
Intern Data Analytics (m/f/d)* Arbeitgeber: Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München
Kontaktperson:
Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Intern Data Analytics (m/f/d)*
✨Tip Number 1
Make sure to familiarize yourself with data analysis tools like Tableau, Power BI, or Python. Having hands-on experience with these tools will not only boost your confidence but also show us that you're ready to hit the ground running.
✨Tip Number 2
Brush up on your Excel skills! Since proficiency in Microsoft Office, especially Excel, is crucial for this role, consider taking an online course or practicing advanced functions and data manipulation techniques.
✨Tip Number 3
Engage with the auditing community online. Join forums or LinkedIn groups related to data analytics and auditing. This will help you understand current trends and challenges in the field, making you a more informed candidate.
✨Tip Number 4
Prepare to discuss your analytical thinking process during the interview. Be ready to share examples of how you've approached problem-solving in past projects or coursework, as we value strong analytical and problem-solving skills.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Intern Data Analytics (m/f/d)*
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Intern Data Analytics position. Understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Skills: In your CV and cover letter, emphasize your analytical skills, proficiency in Excel, and any experience with data analysis tools like Tableau or Python. Provide specific examples of projects or coursework that demonstrate these abilities.
Craft a Strong Cover Letter: Write a personalized cover letter that explains why you are interested in the internship and how your background aligns with the company's mission. Mention your enthusiasm for data analytics and auditing, and how you can contribute to the team.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a role in data analytics.
Wie du dich auf ein Vorstellungsgespräch bei Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München vorbereitest
✨Understand the Role
Make sure you have a clear understanding of the responsibilities of a Data Analyst Intern. Familiarize yourself with data extraction, cleaning, and analysis techniques, as well as tools like Excel, Tableau, or Python that are mentioned in the job description.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples from your studies or previous experiences where you successfully analyzed data. Highlight your attention to detail and problem-solving abilities, as these are crucial for the role.
✨Communicate Effectively
Since strong communication skills are emphasized, practice explaining complex data findings in simple terms. Be ready to demonstrate how you can create reports and visualizations that effectively communicate insights to stakeholders.
✨Demonstrate Team Collaboration
Be prepared to talk about your experience working in teams. Share examples of how you collaborated with others to achieve a common goal, as teamwork is essential in the audit environment.