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<\/div>\n <\/div>\n <\/div><\/div> <\/div>\n <\/div>\n How to Apply<\/mark> to The Data School<\/h1>\n\n\n\nApplying to The Data School differs from a traditional corporate recruitment workflow. Academic transcripts and CVs alone do not predict future consulting performance because our selection methodology evaluates aptitude, problem-solving capability, and technical potential. We assess how you approach raw datasets, formulate analytical questions, and communicate visual findings clearly. Consequently, building an original Tableau Public Dashboard forms an integral part of your application. Your submission does not need to be technically advanced; its purpose is to demonstrate your analytical curiosity, logical reasoning, and capacity for growth.<\/p>\n\n\n\n
\nStart Your Application to The Data School<\/a><\/div>\n\n\n\nProgramm Structure<\/a><\/div>\n<\/div>\n\n<\/div>\n <\/div>\n <\/div>\n\n<\/div>\nStartseite<\/a><\/span><\/span><\/p>\n\n\n \n <\/span>\n <\/div>\n \n \n\nThe Step by Step
Selection Process<\/mark><\/span><\/h2>\n\n\n\n\nView Upcoming Meet & Greet Dates<\/a><\/div>\n<\/div>\n\n\n\n \n\n\t\n \n ![\"\"](\"https:\/\/www.theinformationlab.de\/wp-content\/themes\/til-the-information-lab\/blockstudio\/texticon\/img\/background.svg\")
\n <\/div>\n \n\nDiscover The Data School<\/strong><\/p>\n\n\n\nBefore submitting your application, we encourage candidates to attend our Meet & Greet events, university presentations, or virtual info sessions. These events provide transparent insights into the 29-month curriculum, client placement structure, and daily life as a Data School Consultant, allowing you to ask questions directly to active cohort members.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n
\n\t\n \n \n <\/div>\n \n\nBuild & Publish Your Application Dashboard<\/strong><\/p>\n\n\n\nDownload free Tableau Public Desktop software, select a raw dataset that aligns with your personal interests, and construct an interactive visual dashboard. Publish your completed visualisation to your free Tableau Public profile.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n
\n\t\n \n \n <\/div>\n \n\nSubmit Your Application Documents<\/strong><\/p>\n\n\n\nSubmit your formal application through our recruitment portal, including your CV, cover letter, relevant academic or vocational certificates, and the live link to your published Tableau Public dashboard.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n
\n\t\n \n \n <\/div>\n \n\nIncorporate Constructive Feedback<\/strong><\/p>\n\n\n\nFollowing initial review, our technical team provides feedback on your dashboard’s visual layout, chart selection, and analytical logic. You will submit a revised iteration based on this feedback. This stage evaluates how you process constructive critique, adapt your approach, and apply technical advice.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n
\n\t\n \n \n <\/div>\n \n\nDigital Phone Screen<\/strong><\/p>\n\n\n\nCandidates with strong initial submissions are invited to a 30-minute digital interview conducted in German and English. You will present your application dashboard, explain your analytical reasoning, outline key findings, and discuss your motivation for entering BI consulting.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n
\n\t\n \n \n <\/div>\n \n\nFinal Interview Day in Hamburg<\/strong><\/p>\n\n\n\nSuccessful candidates advance to the final interview stage in Hamburg. Ten days prior to the interview day, all finalists receive an identical dataset simultaneously to construct a new dashboard from scratch. During this ten-day preparation window, candidates can request technical feedback and guidance from active Data School Consultants. On the final interview day, you present your dashboard on-site to our selection panel.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n
\n\t\n \n \n <\/div>\n \n\nCohort Onboarding<\/strong><\/p>\n\n\n\nSelection feedback is delivered shortly after the final interviews conclude. New cohorts commence their four-month intensive training phase in Hamburg approximately one month following the final interview round.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n
\n \n <\/span>\n <\/div>\n \n \n\n \n \n\nPractical Tipps
for Your Submission<\/mark><\/h2>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n \n \n\n\n\nYour application dashboard is your opportunity to showcase structured thinking, visual design awareness, and enthusiasm for data. Select a topic that genuinely interests you; the dataset does not require a commercial background, provided it offers sufficient analytical depth.<\/p>\n\n\n\n
<\/div>\n\n\n\n![\"\"](\"https:\/\/www.theinformationlab.de\/wp-content\/uploads\/2026\/06\/bewerbung-grafik-1024x656.png\")
<\/figure>\n\n\n\n<\/div>\n\n\n\n<\/div>\n<\/div>\n\n\n\n\n\n- Focus on Visual Data Storytelling<\/strong>
Ensure your dashboard tells a coherent story rather than displaying isolated charts. Define a clear analytical question, highlight underlying trends or anomalies, and guide the reader toward actionable conclusions.<\/li>\n\n\n\n- Avoid Generic Datasets<\/strong>
Do not use Tableau’s standard “Superstore” sample dataset, and do not replicate existing dashboards from online tutorials. We evaluate original analytical ideas and individual initiative.<\/li>\n\n\n\n- Leverage Community Resources <\/strong>Review our technical blog articles and community guides for advice on dataset selection, dashboard formatting, and visual layout best practices.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n \n \n\n\t\n \n \n
![\"Grafik](\"https:\/\/www.theinformationlab.de\/wp-content\/uploads\/2026\/06\/benjamindataviz.jpg\")
<\/div>\n \n \n \n \n \n <\/div>\n \n \n\nHow to Tackle Your Application<\/mark><\/h2>\n\n\n\nApplying to become a\u00a0Data School Consultant at The Information Lab\u00a0is anything but a standard application process. Our process includes an aptitude-based stage in which you receive valuable feedback directly from us. This means that even during the application process, you have the opportunity to develop your skills and learn from our feedback.<\/p>\n\n\n\n
At the heart of the application is the creation and submission of an interactive\u00a0Tableau dashboard. Many applicants ask themselves:\u00a0\u201cWhere do I even start? I\u2019ve never used Tableau before!\u201d<\/em>\u00a0Don\u2019t worry. Our\u00a0\u201cTableau Unlocked\u201d\u00a0blog series guides you through the process step by step and helps make getting started with Tableau much easier.<\/p>\n\n<\/div>\n <\/div>\n\t<\/div>\n \n<\/div>\n\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n \n \n\nTableau<\/mark>
Unlocked Series<\/h2>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n \n \n\n\n\n\n- Getting Started: An Overview<\/strong>
In this<\/a> blog post, one of our consultants shares their personal experience of the Data School application process.<\/li>\n\n\n\n- From Idea to Concept<\/strong>
This<\/a> blog post introduces one way to sketch out your ideas before you start building your dashboard. If you are looking for more specific guidance, this<\/a> article covers some of the key dos when creating your dashboard. It is equally useful to know what to avoid when preparing a submission for us. Here<\/a> you will find helpful tips on common don\u2019ts.<\/li>\n\n\n\n- Putting It into Practice: Visualising Data<\/strong>
This<\/a> blog post explains how to create a dashboard and what to consider while building it. This<\/a> post also gives you an overview of when bar charts and line charts are most appropriate.<\/li>\n\n\n\n- Interactivity: Bringing Your Analytical Thinking to Life<\/strong>
In this<\/a> post, you can learn more about adding interactivity to your visualisations. This<\/a> article explains different ways to customise filters. We also have another blog post<\/a> showing further options for formatting filters.<\/li>\n\n\n\n- The Finishing Touches: Context and Usability<\/strong>
This<\/a> article shows you how to format BANs and KPIs for use in your dashboard. In this<\/a> post, you will find guidance on formatting tooltips. If you are happy with the formatting but your dashboard still feels a little crowded, you can use Show\/Hide buttons in Tableau. You can find a step-by-step guide to using them here<\/a>.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n \n \n\n \n \n\nThe Data School Blog<\/span><\/mark><\/h2>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n\n\n
Startseite<\/a><\/span><\/span><\/p>\n\n Discover The Data School<\/strong><\/p>\n\n\n\n Before submitting your application, we encourage candidates to attend our Meet & Greet events, university presentations, or virtual info sessions. These events provide transparent insights into the 29-month curriculum, client placement structure, and daily life as a Data School Consultant, allowing you to ask questions directly to active cohort members.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n Build & Publish Your Application Dashboard<\/strong><\/p>\n\n\n\n Download free Tableau Public Desktop software, select a raw dataset that aligns with your personal interests, and construct an interactive visual dashboard. Publish your completed visualisation to your free Tableau Public profile.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n Submit Your Application Documents<\/strong><\/p>\n\n\n\n Submit your formal application through our recruitment portal, including your CV, cover letter, relevant academic or vocational certificates, and the live link to your published Tableau Public dashboard.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n Incorporate Constructive Feedback<\/strong><\/p>\n\n\n\n Following initial review, our technical team provides feedback on your dashboard’s visual layout, chart selection, and analytical logic. You will submit a revised iteration based on this feedback. This stage evaluates how you process constructive critique, adapt your approach, and apply technical advice.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n Digital Phone Screen<\/strong><\/p>\n\n\n\n Candidates with strong initial submissions are invited to a 30-minute digital interview conducted in German and English. You will present your application dashboard, explain your analytical reasoning, outline key findings, and discuss your motivation for entering BI consulting.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n Final Interview Day in Hamburg<\/strong><\/p>\n\n\n\n Successful candidates advance to the final interview stage in Hamburg. Ten days prior to the interview day, all finalists receive an identical dataset simultaneously to construct a new dashboard from scratch. During this ten-day preparation window, candidates can request technical feedback and guidance from active Data School Consultants. On the final interview day, you present your dashboard on-site to our selection panel.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n\n Cohort Onboarding<\/strong><\/p>\n\n\n\n Selection feedback is delivered shortly after the final interviews conclude. New cohorts commence their four-month intensive training phase in Hamburg approximately one month following the final interview round.<\/p>\n\n<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n Your application dashboard is your opportunity to showcase structured thinking, visual design awareness, and enthusiasm for data. Select a topic that genuinely interests you; the dataset does not require a commercial background, provided it offers sufficient analytical depth.<\/p>\n\n\n\n Applying to become a\u00a0Data School Consultant at The Information Lab\u00a0is anything but a standard application process. Our process includes an aptitude-based stage in which you receive valuable feedback directly from us. This means that even during the application process, you have the opportunity to develop your skills and learn from our feedback.<\/p>\n\n\n\n At the heart of the application is the creation and submission of an interactive\u00a0Tableau dashboard. Many applicants ask themselves:\u00a0\u201cWhere do I even start? I\u2019ve never used Tableau before!\u201d<\/em>\u00a0Don\u2019t worry. Our\u00a0\u201cTableau Unlocked\u201d\u00a0blog series guides you through the process step by step and helps make getting started with Tableau much easier.<\/p>\n\n<\/div>\n <\/div>\n\t<\/div>\n \n<\/div>\n\n\n<\/div>\n <\/div>\n<\/div>\n\n\nThe Step by Step
Selection Process<\/mark><\/span><\/h2>\n\n\n\n\n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n Practical Tipps
for Your Submission<\/mark><\/h2>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n<\/figure>\n\n\n\n\n
Ensure your dashboard tells a coherent story rather than displaying isolated charts. Define a clear analytical question, highlight underlying trends or anomalies, and guide the reader toward actionable conclusions.<\/li>\n\n\n\n
Do not use Tableau’s standard “Superstore” sample dataset, and do not replicate existing dashboards from online tutorials. We evaluate original analytical ideas and individual initiative.<\/li>\n\n\n\n <\/div>\n \n \n \n \n \n <\/div>\n How to Tackle Your Application<\/mark><\/h2>\n\n\n\n
Tableau<\/mark>
Unlocked Series<\/h2>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n
In this<\/a> blog post, one of our consultants shares their personal experience of the Data School application process.<\/li>\n\n\n\n
This<\/a> blog post introduces one way to sketch out your ideas before you start building your dashboard. If you are looking for more specific guidance, this<\/a> article covers some of the key dos when creating your dashboard. It is equally useful to know what to avoid when preparing a submission for us. Here<\/a> you will find helpful tips on common don\u2019ts.<\/li>\n\n\n\n
This<\/a> blog post explains how to create a dashboard and what to consider while building it. This<\/a> post also gives you an overview of when bar charts and line charts are most appropriate.<\/li>\n\n\n\n
In this<\/a> post, you can learn more about adding interactivity to your visualisations. This<\/a> article explains different ways to customise filters. We also have another blog post<\/a> showing further options for formatting filters.<\/li>\n\n\n\n
This<\/a> article shows you how to format BANs and KPIs for use in your dashboard. In this<\/a> post, you will find guidance on formatting tooltips. If you are happy with the formatting but your dashboard still feels a little crowded, you can use Show\/Hide buttons in Tableau. You can find a step-by-step guide to using them here<\/a>.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n<\/div>\n <\/div>\n<\/div>\n\n\nThe Data School Blog<\/span><\/mark><\/h2>\n\n<\/div>\n <\/div>\n<\/div>\n\n\n\n\n\n
![\"Eine](\"https:\/\/www.theinformationlab.de\/wp-content\/uploads\/2026\/05\/02f7dccf9bb72a6cc797643ace24901374d30bab-1024x683.jpg\")
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