Hybrid Data Insights Lead

CHEP; España; Híbrido; EUR 42.000 - 56.000; Jornada completa

Descripción de la vacante

CHEP is hiring a data analytics professional to transform large, multi-source data into actionable insights. You will develop sophisticated visualizations and dashboards, presenting recommendations to stakeholders and senior leaders.

The role requires strong Python, SQL, ML, and data visualization skills, with collaboration across functions and a focus on data-driven decision-making. The role is based in a hybrid environment with opportunities to impact asset productivity and business growth

Formación

• Strong python skills applied to analysis.
• Relational databases knowledge (SQL).
• Experience applying machine learning to solve business problems.
• Experience designing visual presentations to tell the data story.
• Experience with cloud computing environments.
• Experience transforming data into insights.

Responsabilidades

• Analyze high-volume, complex data from multiple sources using advanced tools to generate insights.
• Develop and deliver dashboards and reports that translate data into actionable insights for stakeholders.
• Present findings and recommendations, simplifying analyses for senior leaders.
• Partner with cross-functional teams to standardize data analysis processes.
• Use advanced analytics and machine learning to perform deep-dive analyses and forecast opportunities.
• Identify opportunities for digital transformation and improve data capture and reporting processes.
• Provide strategic guidance to senior leadership to drive business growth.

Conocimientos

Python

SQL

Data analysis

Statistical knowledge

Machine learning

Data visualization

Power BI

Tableau

Herramientas

Power BI

Tableau

SQL

Descripción del empleo

CHEP is hiring a data analytics professional to transform large, multi-source data into actionable insights. You will develop sophisticated visualizations and dashboards, presenting recommendations to stakeholders and senior leaders.

The role requires strong Python, SQL, ML, and data visualization skills, with collaboration across functions and a focus on data-driven decision-making. The role is based in a hybrid environment with opportunities to impact asset productivity and business growth