(Junior) Analyst Marktforschung - Technische Datenanalyse (m/f/d)

As a (Junior) Analyst Marktforschung - Technische Datenanalyse at Statista, you'll engage in various projects, focusing on planning and executing quantitative market research studies. Your tasks will involve technical survey processing, analysis, programming, tabulation, and dashboarding, along with providing actionable recommendations based on your findings.

To apply for the (Junior) Analyst Marktforschung - Technische Datenanalyse position at Statista, you should have a completed degree in economics, social sciences, or a related field. We also value candidates with initial experience in market research through internships or student roles, alongside strong analytical capabilities and proficiency with Microsoft Office and SPSS.

Key skills for a (Junior) Analyst Marktforschung - Technische Datenanalyse at Statista include strong data organization and analysis capabilities, a high standard of quality work, and the ability to independently and reliably manage tasks. Familiarity with programming survey questionnaires and knowledge of R or Python can also enhance your candidacy.

At Statista, career development is a priority. We provide access to various training and development opportunities, allowing our analysts to learn and grow within the organization. Our supportive team environment encourages skill-building and mentorship, making it easier for you to progress in your career.

Statista promotes a unique work environment with a diverse and international team. Our culture values collaboration, creativity, and data-driven decision-making, ensuring that every team member feels welcome and empowered to contribute. We also offer flexible working arrangements and mental health support, enhancing your overall work experience.

When answering this question, highlight specific experiences where you implemented quantitative research methods, detailing how you planned and executed studies, the tools you used (like SPSS), and the outcomes you achieved to show your proficiency in data analysis.

In your response, emphasize your analytical thinking skills. Discuss how you would investigate the sources of the data, check for errors, and look for patterns or correlations that clarify the situation. This shows your problem-solving capabilities.

List the tools you’re familiar with, such as Microsoft Excel, SPSS, and any programming languages like R or Python, detailing specific tasks you've completed with each. Explain how proficiency in these tools enhances your efficiency and accuracy in data handling.

Share a specific example where your data analysis led to actionable insights. Describe your role, the analysis you performed, and the impact of your recommendations on the project or the organization.

Discuss your organizational skills and strategies for prioritization, such as using project management tools or setting deadlines, to illustrate your ability to handle multiple responsibilities while ensuring high-quality outcomes.

Connect your personal interests and career goals with Statista’s mission, emphasizing how the role aligns with your passion for data analysis and your desire to contribute to a leading company in the business data platform sector.

Talk about the processes you follow to ensure data integrity, including double-checking your work, utilizing appropriate analytical methods, and seeking peer feedback. This indicates your commitment to high-quality standards.

Share an example of a successful team project. Highlight your role in facilitating communication, supporting team members, and contributing to common goals, showcasing your teamwork skills.

Outline a strategic approach to self-learning, such as taking online courses, accessing documentation, and practicing hands-on, demonstrating your willingness to expand your skill set for the benefit of the role.

Share your methods for staying informed, such as following industry publications, attending webinars, or participating in professional networks, illustrating your commitment to professional development in the field of market research.