Senior Business & Data Analyst

Overview

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.

Responsibilities

- 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.

Essential skills

- 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.