The interview process at Codeway was structured and consisted of multiple stages, combining both technical and business-oriented evaluation. The first stage was an HR interview, where my background, motivation, and overall fit for the role were assessed. In the second stage, I was given a case study. This involved analyzing a dataset in BigQuery, calculating key metrics such as conversion rate, ARPU, retention, and revenue, and interpreting the results. The analysis was expected to be presented in a structured way, supported by a dashboard (e.g., Looker). The final stage was an in-depth interview with members of the Data Analytics team (Data Analytics Managers and an Engineering Director), which lasted around two hours. During this stage: * The case study was discussed in detail * My approach to product and business metrics was evaluated * My analytical thinking and problem-solving skills were assessed Overall, the process focused not only on technical skills but also on the ability to connect data insights with business decisions and communicate them clearly.

The interview process at Codeway consisted of three main stages. The first stage involved a data analysis case study to be conducted on BigQuery. This required calculating and interpreting key KPIs such as retention, revenue, and conversion rates, as well as visualizing and presenting the results on a Looker-style dashboard. The second stage was an HR interview where my motivation, past experience, and suitability for the position were evaluated. In the final stage, the case study I prepared was reviewed in detail during a technical interview with the Data Analytics Managers; I was evaluated based on my data-driven thinking approach, problem-solving skills, and perspective on product metrics. Overall, the process featured a comprehensive and holistic evaluation framework that assessed both technical competencies and business perspective.