BI Consultant & Data Analyst

Tropos delivers scalable and reliable data analytics solutions that lead to actionable business insights. We collaborate with clients across diverse industries and help them unlock the full potential of their data by combining our deep expertise with unrivaled automation.

We believe in a no-nonsense, results-driven approach—no buzzwords, just clear communication and measurable impact.

We’re a highly attuned team. Thanks to our seamless and pleasant collaboration, we’re able to move fast and deliver with care and precision.

As a BI Consultant & Data Analyst, you help clients unlock the full value of their data by translating business needs into clear, user-friendly analytics solutions.

You combine functional analysis with hands-on BI expertise: understanding processes, defining requirements, shaping data models, and delivering dashboards that drive action. You don’t just focus on the numbers—you also care about how insights are presented, ensuring a strong user experience and high adoption across the organization.

You act as the bridge between business stakeholders and technical teams, delivering reporting and analytics solutions that are scalable, trusted, and intuitive to use.

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  Work closely with business stakeholders to understand their goals, challenges, and reporting needs.

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  Translate business questions into functional requirements, KPIs, and BI use cases.

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  Design and deliver interactive dashboards and reports that are both insightful and easy to use (Power BI, Tableau, Looker…).

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  Apply UX principles to BI: create clear layouts, intuitive navigation, and actionable visual storytelling.

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  Define and maintain semantic layers and data models that support scalable self-service BI (star schemas, marts, layered architectures).

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  Collaborate with data engineers to ensure reliable datasets and smooth alignment between data pipelines and BI consumption layers.

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  Support clients in modernizing their analytics environments, including migration from legacy reporting tools to cloud platforms.

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  Ensure consistency in metric definitions, governance, and documentation so insights are trusted across teams.

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  Guide and coach end users to improve data literacy and encourage adoption of BI solutions.

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  Contribute to continuous improvement through reusable analytics patterns, best practices, and knowledge sharing.