Associate Research Analyst Intern (M/F)

As an Associate Research Analyst Intern at SESAMm, your key responsibilities will include analyzing data using natural language processing tools, creating visualizations and presentations for international clients, and contributing to the development of dynamic dashboards for investment use cases. You will collaborate with internal teams to build client relationships and keep up to date with industry trends, translating complex web data into actionable insights.

To qualify for the Associate Research Analyst Intern position at SESAMm, candidates should possess a Master’s degree from a business school or university. A first experience in data visualization is appreciated, along with strong analytical skills, excellent communication abilities, and the capability to manage multiple tasks. Fluency in English is crucial, and familiarity with data visualization software and programming languages like Python is a plus.

SESAMm places a strong emphasis on training and knowledge-sharing. As an Associate Research Analyst Intern, you will have access to both internally and externally led training sessions, as well as educational resources. The company’s rapid growth provides ample opportunities for personal career advancement, allowing you to shape your path within the organization.

The work environment at SESAMm is multicultural and collaborative, with teams spanning across the globe. Interns will benefit from a flexible work structure, including the option to work remotely several days a week. The company prides itself on having a rich culture of diversity and fostering a team spirit where every member’s ideas and contributions are valued.

An Associate Research Analyst Intern at SESAMm should be proficient in data analysis and visualization tools like PowerPoint, Excel, Google Sheets, and Google Slides. Familiarity with data visualization software such as Kibana, Tableau, or PowerBI will be advantageous, as well as understanding basic programming languages like Python to help analyze and visualize data effectively.

When answering this question, highlight any relevant projects or internship experiences where you utilized data visualization tools to interpret and present data. Emphasize your ability to turn complex data sets into clear, actionable insights, aligning with SESAMm’s focus on data-driven decision making.

Discuss your methodology for handling unstructured data, including tools you might use or techniques you apply. Outline how you filter, categorize, and interpret data to derive meaningful insights, ensuring to relate your answer back to the tools SESAMm employs.

Provide examples of how you've successfully collaborated with others in previous projects. Highlight your communication skills and your approach to sharing ideas or resolving conflicts within a team context, as teamwork is crucial in SESAMm’s culture.

Explain your practices for staying informed about industry trends, such as following relevant publications, participating in online webinars, or networking with professionals in the field. This showcases your proactive attitude towards continuous learning.

Describe a specific situation where you analyzed complex data and translated it into actionable recommendations. Focus on the steps you took to ensure that the insights were not only clear but also impactful for decision-making.

Be honest about your skill level with these tools. If you have experience, discuss specific projects you used them for. If you don't, consider discussing your willingness to learn and how your current skills can help you quickly adapt to these technologies.

Outline your organizational strategies, such as prioritizing tasks, breaking projects into manageable parts, and using tools to track deadlines. Demonstrating your capability to work efficiently under pressure will show your readiness for an internship at SESAMm.

Share your enthusiasm about SESAMm’s mission to extract behavioral insights and how it aligns with your career goals. Mention any specific aspects of the company, such as its innovative culture or growth trajectory, that attracts you to the internship.

Offer a brief narrative of a challenge encountered in a previous project, focusing on your problem-solving process. Highlight the steps you took to resolve the issue and what you learned from the experience, linking back to skills valuable for SESAMm.

Discuss your passion for data analysis and how it empowers businesses to make informed decisions. Relate your interests to SESAMm’s work and the impact it has on clients, showcasing genuine enthusiasm for the field.