Specialista Data Analyst (Madrid)

Specialista Data Analyst (Madrid)

15 sep
|
Chep Espana
|
Madrid

15 sep

Chep Espana

Madrid

Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. You'll help change how goods get to market and contribute to global sustainability. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

This role is critical to supporting data-driven decision-making by transforming complex data into actionable insights that improve business performance. The position will analyse large volumes of data from multiple sources, providing meaningful recommendations to stakeholders and senior leaders.

Key Responsibilities Analyze high-volume, complex data from multiple sources, using advanced tools and techniques to generate meaningful insights. Develop and deliver sophisticated visualizations, dashboards, and reports that translate complex data into clear, actionable insights for business stakeholders. Present findings and recommendations, simplifying complex analyses to provide clear and actionable insights that support business objectives.

Partner with cross-functional teams at all levels to standardize data analysis processes and improve data capture practices. Use advanced analytics and machine learning techniques to perform deep-dive analysis and generate forward-looking insights. Identify opportunities for digital transformation and develop innovative solutions to improve data capture, visualization, and reporting processes.

Ensure the accuracy, consistency, and quality of data by working closely with internal and external stakeholders. Provide strategic guidance to senior leadership, leveraging data insights to drive business growth, enhance decision-making, and support long-term success. Use machine learning algorithms to find opportunities.

Find solutions to complex business problems using data.



Use advanced analytics to be able to predict future opportunities for Asset Control Cover analyses regarding all programs and regions Asset Productivity covers.

Experience Experience Strong python skills applied to analysis.

Experience working with complex coding frameworks.

Knowledge

Knowledge on cloud computing environments. Ability to analyse, model and interpret data. Relational databases knowledge (SQL).

Experience transforming data into insights.

Experience designing visual presentations to tell the story behind the data.

Experience understanding complex data patterns.

Experience applying machine learning to solve business problems.

Statistics Statistics

Proved experience organizing own tasks (manage priorities, standardization, automation, troubleshooting and short-term planning). Autonomous and capable to lead projects. Can act under time pressure and interact with senior level stakeholders.

Remote Type Hybrid Remote

Skills to succeed in the role Adaptability, Critical Thinking, Data Analytics, Data Visualization, Empathy, Experimentation, Microsoft Power Business Intelligence (BI), Python (Programming Language), Regression Analysis, R Programming, SQL Tools, Tableau (Software), Taking Ownership, Teamwork, Understand Customers This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. You'll help change how goods get to market and contribute to general sustainability.

And you can maximize your work-life balance and flexibility through our Hybrid Work Model, for available positions.

📌 Specialista Data Analyst (Madrid)
🏢 Chep Espana
📍 Madrid

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