Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.
We are strategically positioned to build value, with a global footprint across 30 countries.
We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.
We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.
- Act as the main analyst supporting the development of a monitoring and observability layer across operational systems, translating high-level requirements into actionable KPIs and data pipelines;
- Map KPIs to relevant data sources, systems, and processes, identifying gaps and supporting the design of the required data acquisition and transformation solutions (e.g., probes, file extractions, system integrations);
- Engage regularly with stakeholders from the consortium to gather requirements, facilitate alignment, and ensure traceability across business and technical layers;
- Participate in and lead workshops and working sessions with stakeholders in both remote and in-person formats;
- Design BI Solutions such as dashboards and reports to ensure ongoing visibility of project metrics, status and performance reports;
- Support documentation, governance and traceability of metrics, definitions, and data sources.
- At least 8 years of experience in data and analytics, with strong exposure to international or consortium-based projects;
- Solid knowledge of data analysis and visualization tools (e.g., Power BI);
- Strong knowledge of query and data manipulation languages (e.g., SQL) and familiarity with modern data platforms and cloud environments (e.g., Databricks, Azure);
- Good knowledge of operational observability and monitoring concepts (e.g., through tools such as Zabbix, Dynatrace);
- Good knowledge of English.