Business and Data Analyst Intern

As a Business and Data Analyst Intern at PartnerRe, you'll primarily support our Business Unit Analysts in evaluating financial counterparty risks. Your responsibilities include analyzing and testing reports, reworking existing dashboards for efficiency, collaborating on commutation requests, and participating in our Power BI community. You’ll also work with data tools to build data models and suggest automation solutions to improve manual processes.

To join PartnerRe as a Business and Data Analyst Intern, candidates should have business fluency in English and an inquisitive mindset. Familiarity with the insurance sector, knowledge of financial concepts such as Profit & Loss and Balance Sheet analysis, and experience with Microsoft Excel, Power Query, and Power BI are essential. A high-level understanding of relational database concepts and data modeling will be beneficial.

Valuable skills for a Business and Data Analyst Intern at PartnerRe include strong analytical abilities, proficiency in relevant software such as Microsoft Excel and Power BI, and a foundational understanding of financial topics. Being curious and possessing a willingness to learn about the reinsurance industry will help you succeed in this role and make the most of the opportunities presented during your internship.

In the role of Business and Data Analyst Intern at PartnerRe, you'll collaborate closely with teams such as Underwriting, Operations, Actuarial, and IT. You’ll interact with professionals from different backgrounds and locations, enriching your experience while contributing to projects that require teamwork and communication across cultures.

As a Business and Data Analyst Intern at PartnerRe, you can expect an engaging training process where you'll receive guidance from experienced team members in the Planning & Performance Management (PPM) department. You’ll be encouraged to participate in hands-on learning and collaborative projects which will help you gain practical experience in data analysis, financial assessments, and teamwork.

Reflect on your interests in data analysis and the financial sector, and emphasize your eagerness to learn from esteemed professionals in the reinsurance industry. Share how PartnerRe's mission and values resonate with you and how you envision growing within the company.

Discuss your methodology for analyzing financial data, including techniques like data segmentation, trend analysis, and using tools such as Excel or Power BI. Emphasize your attention to detail and experience working with quantitative data while showcasing your problem-solving skills.

Share any relevant coursework, personal projects, or internships where you’ve developed data models. Highlight specific tools you’ve used, discuss your understanding of database concepts, and how these experiences prepare you for the responsibilities at PartnerRe.

Prepare to share a detailed example, including your approach, the challenges you faced, and how you overcame them. Discuss what you learned from the experience and how it will apply to your role as a Business and Data Analyst Intern at PartnerRe.

Demonstrate your ability to manage time efficiently. You can discuss how you utilize tools or methods like to-do lists, prioritization matrices, or project management software to keep your tasks organized. Emphasize your flexibility and willingness to adjust priorities as per team needs.

Highlight your research about PartnerRe's position in the reinsurance market, their commitment to financial stability, and how they support clients through tailored solutions. Discuss how these insights align with your career aspirations and interests.

Share specific projects where you've used Power BI or similar tools to create dynamic visualizations. Discuss how data visualization enhances the decision-making process and how you’ve leveraged your skills to present data effectively to stakeholders.

Guide the interviewer through your systematic approach to ensuring data integrity, including steps like cross-referencing data sources, conducting quality checks, and regularly validating data with stakeholders to maintain accuracy throughout the analysis process.

Select a pertinent experience where you successfully communicated complex data insights. Discuss your approach to simplify technical concepts using clear visuals and relatable language, ensuring that your audience grasped the key points effectively.

Express your eagerness to gain practical experience in the insurance sector, develop analytical skills, and learn about the impact of data-driven decisions in reinsurance. Mention your desire to grow personally and professionally in a multinational and diverse environment.