https://geodis-recrute.talent-soft.com/handlers/offerRss.ashx?Rss_Country=12912%2C12911&Rss_JobFamily=20773&lcid=1036 fr-FR https://injob.geodis.com/Pages/Offre/detailoffre.aspx?idOffre=18042&idOrigine=502&LCID=1036&offerReference=2026-18042 Activités Opérationnelles/4PL Operations CDI-Temps plein Calle 25 # 69B-50 Piso 9 <b>Fonction : </b>Activités Opérationnelles/4PL Operations<br /> <b>Type de contrat : </b>CDI-Temps plein<br /> <b>Description du poste : </b><br /> Analyze and transform data into actionable insights by leveraging strong analytical skills and digital tools to solve complex and specific business challenges. The Business Intelligence Specialist focuses on execution excellence, ensuring the reliability of analyses and optimizing the technical processes that support decision-making. This role contributes expertise in improving data integrity across interfaces with Ecopetrol and 3PL providers, ensuring the data quality of operations and developing customized Business Intelligence solutions using Power BI and Qlik Sense.<br /><br /> Education Bachelor's degree in Business Administration, Finance, Systems Engineering, Industrial Engineering, or a related field. Postgraduate degree in Big Data, Business Intelligence (BI), Databases, or a related discipline. Advanced English proficiency (B2-C1). Experience Minimum of 3 years of experience in data modeling, data querying, and strategic analysis based on data insights. Preferably with certified experience in Power BI, Python, and Qlik Sense. Skills and Competencies Data analysis and modeling (predictive, descriptive, and statistical analytics). Proficiency with analytics tools (SQL, Python, Qlik Sense, Power BI). Data governance and management (data quality, security, and privacy). Big Data and data architectures (AWS, Azure, Google Cloud, Hadoop). Strong business acumen and alignment with strategic objectives. Data-driven decision-making and generation of actionable insights. Project management skills with the ability to meet deadlines and achieve objectives. Promotion of a data-driven and analytical culture across the organization. Critical thinking and problem-solving skills. Experience with ETL processes (Extract, Transform, and Load).<br /> <b>Ville(s) : </b>Calle 25 # 69B-50 Piso 9<br /> <b>Niveau d'études min. requis : </b>BAC+2 / BTS / DUT<br /> Fri, 28 Aug 2026 22:10:56 Z