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      Colloquio per Data Product Manager

      10 gen 2025
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza negativa
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 3 mesi. Ho sostenuto un colloquio presso Tiko nel mese di ago 2024

      Colloquio

      I was interviewed by the company's Data Product and Technology responsible for a data-focused position. They asked about my experience in Data but non-relevant questions about Product Management. They expect the next product manager to do the job without supervision and guidance. I spent a full week preparing a detailed business case as part of the selection process. After the company’s summer holiday break, I was informed via email that they had decided to move forward with other candidates. Their feedback was that my submission was "too detailed for stakeholder presentation" and that they preferred a simpler, more concise format - despite not having communicated this preference in advance. Five months later (January 2025), I was contacted by a recruiter for the same position. This time, the role was extended to candidates in Kenya and South Africa, where the company’s headquarters are located. It seems they are still struggling to fill the position, despite reportedly receiving over 100 applications.

      Domande di colloquio [1]

      Domanda 1

      As a Data Product Manager, you are tasked with designing and overseeing the development of a real-time analytics feature for our platform. This involves defining the feature requirements, collaborating with the data engineering team to build an event-based pipeline, and ensuring alignment with user needs and business objectives. Deliverables: ● Define the project vision. ● Identify user Personas and value propositions for each. ● Identify the critical data points. ● Identify the technical requirements and rank these based on impact on system performance and user experience. ● Develop a high-level conceptual diagram or description of the data pipeline for real-time analytics. ● Create a visual mockup or detailed description of how users will interact with the real-time analytics feature within the platform.
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