First, the recruiter will ask you some basic questions. Then, they will schedule a technical interview with people from the team. If you pass that, they will provide you with some data to do an analysis and a presentation about the data. You need to present that to a panel, but they are expecting a junior to know as much as a senior.

1. Cleaning/ Preparing the data - Describe your prior experience in cleaning and preparing marketing data. Give 2 specific examples of challenges and how you overcame them.

2. Cleaning/ Preparing the data - What specific data points provided in the case study above should be carefully considered in your analysis? Given the data set described in the case study, how would you lay out your data set for analysis? Describe conceptually or provide 1 similar example based on your prior experience.

3. Data Analysis - Describe how you would outline the analysis that could recommend optimizations across marketing budgets, provide 1 specific example from your prior experience where you used analytics to recommend optimizations to a business process.

4. Statistical Techniques - What statistical methods could you use to provide budget optimizations to the client? Provide 2 examples of statistical methods you used in your prior roles.

5. Data Visualization - How would you go about building an insights visualization for this optimization task? Describe conceptually or provide 1 example from your prior experience. We are interested in your data visualization process, methodology, and specific data presentation experiences (charts, tables) and how to make them most impactful for business users.

6. Insights - How would you present the optimization recommendations to your business / non-technical client? Describe your thought process of building impactful presentations based on 1 example from your prior projects.