(Junior) Analyst - Evaluation and Analysis (m/f/d)

As a Junior Analyst - Evaluation and Analysis at Statista, you'll be responsible for implementing multifaceted customer projects tailored to various industries. Your duties will involve researching and evaluating primary and secondary data, conducting market and competitive analyses, and preparing insightful reports in PowerPoint and Excel. You will play a crucial role in project management and support creating proposals, making your analytical contributions vital to client success.

To thrive as a Junior Analyst - Evaluation and Analysis at Statista, you should have completed a Bachelor's or Master's degree in economics, social sciences, or a related field. Excellent analytical skills, proficiency in Microsoft Office (especially PowerPoint and Excel), and a good grasp of economic interdependencies are essential. Strong English communication skills are necessary, and the knowledge of additional languages is a definite advantage.

In this role at Statista, you'll engage in various customer projects that span different sectors. You'll conduct analyses and evaluations that answer important business questions, focusing on market dynamics, economic effects, and competitive landscapes. Your insights will help clients make informed decisions, enhancing their strategic planning and competitive edge in their respective markets.

Statista is committed to the continuous development of its professionals. As a Junior Analyst - Evaluation and Analysis, you will have numerous opportunities for growth within the organization. You'll benefit from career training programs, mentorship, and exposure to diverse projects that will enhance your skills, potentially leading to advanced roles in analysis and consulting.

Joining Statista means collaborating with an international team of over 200 experts in a supportive and inclusive environment. You can enjoy a flexible work setup with hybrid options and opportunities for social events. Statista also prioritizes employee well-being, providing mental health support and initiatives that promote a healthy work-life balance.

When answering this question, highlight your familiarity with analytical software and your proficiency in tools like Excel and PowerPoint. Share specific examples of how you have analyzed data in the past, explaining the methods you used and the outcomes of your analyses.

In your response, showcase your organizational and time management skills. Explain how you assess project deadlines and importance, and discuss any tools or techniques you use to keep track of tasks and ensure timely completion.

To answer this question, emphasize your attention to detail and your process for verifying data. Discuss techniques you use to cross-check information and any quality assurance practices you follow to maintain data integrity in your analyses.

When responding, illustrate your communication skills. Share how you tailor your messages to suit client needs, explaining intricate data analyses in a clear and concise manner. Highlight your ability to listen to client requests and feedback to adjust your analyses accordingly.

Be specific in your response. Describe a project where you encountered obstacles, explaining how you approached the challenges. Focus on your problem-solving skills and the successful outcomes of your efforts.

Express genuine enthusiasm for the position at Statista. Discuss what excites you about data-driven decision-making and how the role aligns with your career goals, particularly the opportunity to work with a diverse team and contribute to impactful projects.

To answer effectively, discuss your strategies for managing stress and maintaining productivity under pressure. Share specific examples of how you have successfully met deadlines in the past and what practices you implement to stay organized.

Explain your methodology for market analysis, including any specific frameworks or tools you rely on. Highlight your experience researching trends, evaluating competition, and synthesizing data to provide actionable insights.

When answering this question, emphasize your ability to simplify technical language. Describe techniques you use to translate data insights into relatable concepts, such as using visuals or analogies to enhance understanding.

Discuss the importance of collaboration in the role. Provide examples of past team experiences, highlighting how you contributed to group projects, shared insights, and supported colleagues to achieve common goals.