Data Engineer, Advanced Analytics (Hybrid)

IBM; Bois-Colombes; Hybride; EUR 60 000 - 95 000; Plein temps

Résumé du poste

IBM Consulting seeks a Data Engineer with Advanced Analytics expertise to formulate mathematical approaches, prepare data, and deploy predictive analytics results for business insights. You will design and build data pipelines, perform statistical analysis, and present findings to stakeholders.

The role requires experience in data engineering, SPSS, and data preparation, with a focus on delivering reliable analytics solutions to public and private sector clients.

Qualifications

• Data engineering principles applied to advanced analytics projects.
• Experience with predictive analytics tools to perform statistical analysis and present findings.
• Exposure to mathematical optimization, discrete‑event simulation, and rules programming.

Responsabilités

• Design, build, and manage data analytics solutions including data preparation, data mining, and deploying analysis results.
• Perform statistical analysis and use predictive analytics tools to draw conclusions and present findings.
• Prepare data for advanced analytics projects ensuring data quality and integrity.
• Apply mathematical optimization and discrete‑event simulation to solve complex business problems.
• Deploy analysis results and provide insights and recommendations to stakeholders.

Connaissances

Data Engineering Principles

Predictive Analytics Tools

Mathematical Optimization

Data Preparation

Statistical Analysis

Formation

Bachelor's Degree

Outils

SPSS

Description du poste

IBM Consulting seeks a Data Engineer with Advanced Analytics expertise to formulate mathematical approaches, prepare data, and deploy predictive analytics results for business insights. You will design and build data pipelines, perform statistical analysis, and present findings to stakeholders.

The role requires experience in data engineering, SPSS, and data preparation, with a focus on delivering reliable analytics solutions to public and private sector clients.