Data Analyst Commercial Excellence WE

Data Analyst Commercial Excellence WE

Location:

Bilbao

At Sibelco, we advance life through materials.
For over 150 years, we’ve been a trusted leader in sourcing, transforming, and distributing specialty industrial minerals. Our work powers progress across industries as diverse as glass, ceramics, construction, coatings, polymers, and water purification. Beyond our materials, we’re proud of our commitment to sustainability, innovation, and empowering people from all walks of life to thrive and make a meaningful impact.

Are We the Perfect Match?

At Sibelco, we believe building a successful career is a two-way journey. We’re looking for individuals who share our values and vision, just as much as you’re seeking a company that aligns with your aspirations. Together, we can shape the future.

Job Description:

Responsabililies:

Translate business challenges and strategic priorities into Data‑enabled use cases by leveraging data from existing enterprise systems (SAP, Power BI, Pro Tool, OMP and others).

Apply prompting, coding, data mining, and advanced analytics techniques to identify new revenue opportunities, commercial leads, and business optimization initiatives.

Generate actionable insights to support pricing optimization, customer targeting, sales growth, and margin improvement.

Develop and maintain analytical models and AI‑supported tools to automate recurring analyses and reduce manual or redundant processes.

Design, develop, and enhance dashboards and analytical tools (e.g., Power BI) to support management and cross‑functional decision‑making

Contribute to the continuous improvement of data quality, consistency, and usability across systems in collaboration with relevant data owners, IT, and digital teams.

Act as a bridge between business users and digital / IT teams by clearly translating business requirements into analytical or AI‑supported solutions.

Promote adoption of AI‑driven tools and insights by supporting users through documentation, training, and best‑practice sharing.

Requirements:

Bachelor’s degree in Data Science, Computer Science, Engineering, AI, Applied Mathematics, Economics, Business Analytics, or a related quantitative field.

A Master’s degree or specialized certification in data analytics, artificial intelligence, or related technologies is an advantage.

3–5 years of relevant professional experience in data analytics, business intelligence, AI applications, digital transformation, or a comparable analytical role.

Demonstrated experience applying data analysis, coding, and AI‑enabled techniques to solve business problems and generate measurable impact.

Experience delivering analytical or optimization projects with clear financial, operational, or efficiency impact

Experience working with enterprise systems and structured data environments (e.g. SAP, BI platforms, operational or commercial tools).

Proven ability to operate in complex, cross‑functional environments and translate business needs into analytical or AI‑supported solutions.

Data‑driven mindset with strong analytical, problem‑solving, and critical‑thinking skills.

Experience working in a global or matrix organization is a strong asset.

English – advanced verbal and written proficiency.

Local language of the country of base and main operations – Bilbao - Spanish

Employee Type:

Permanent

Why Join Us?

Sibelco is more than a workplace—it’s a community that encourages growth, innovation, and collaboration. Here’s what you can look forward to when you join our team:

• Meet Our People: Careers

• Learn About Our Recruitment Process: Learn More

• Discover Our Sustainability Goals: Sibelco priorities

We also welcome applications from all backgrounds and are committed to providing reasonable adjustments to support you through the selection process.

How to Apply

Follow us on LinkedIn, Instagram, Twitter/X and Facebook to learn more about life at Sibelco. Submit your application in the Apply option.

Please note: We do not require agency services as we have a dedicated Global Talent Acquisition Team.