What do you do if you want to showcase your data visualization skills in an interview?

First make or gather your best data dashboard and report you've made. Make sure you have different types, like charts, graphs, and things you can click on to move around (dashboards). Each one should have a clear reason for being there and show off how good you are at making boring numbers interesting. Your collection should be easy to get to, either on a website you made or on a tablet you bring with you. And it should be set up so you can quickly show off different things while you're talking.

Talk about where the numbers came from, how you figured them out, and why the vizz-Report helps us understand them better. Bosses want to know you're not just good at making pretty charts but that you can also understand what they mean. This is your time to show how you think about numbers and how you use them to make smart choices.

Even though being good with technology is important, don't forget to talk about your people skills too. Making data reports isn't just about drawing pretty charts; it's about telling stories and talking to people. Explain how you talk to teams to figure out what they need, how you explain things to people who don't know much about data, and how you listen to what people say to make your reports better. These are really important things managers want to see in someone who works with data.

One more thing: practice giving your talk. You should be able to talk about your work without reading a lot from notes. Practice explaining your report in a clear and simple way, like you're talking to someone who doesn't know much about data. This will make sure you can show how important your work is to people who might not know much about data.

In an interview, to showcase data visualization skills effectively, prepare a portfolio of visually appealing and informative visualizations. Highlight projects where you've effectively communicated complex data, demonstrating proficiency with tools like Tableau, Power BI, or Python libraries like Matplotlib or Seaborn. Walk the interviewer through your process, explaining data cleaning, analysis, and design choices. Emphasize storytelling through visuals, ensuring clarity and relevance to the audience. Be ready to discuss insights drawn from the visualizations and how they contribute to decision-making. Finally, demonstrate adaptability by discussing different visualization techniques employed based on the data and context of each project.

One of the most important things in showing off your portfolio or work, is to show that it was prepared for a specific purpose. Do not show a bunch of fancy graphs and expect it to sweep people of their feet. Show that you understand that you are preparing a visualization for someone who needs to have some questions answered via the data. Dashboards do not bring any value by themselves, the value comes from decision taken based on the data shown there.