Strategic AI Commercial Operations Analyst

The Strategic Commercial Operations Analyst plays a key role in driving the evolution of sales analytics within Institutional Europe. The position focuses on the development and deployment of advanced, AI\-driven sales analytics solutions, leveraging modern BI platforms and machine learning techniques to support data\-driven decision\-making.

This is a hands\-on analytical role, responsible for transforming fragmented data into scalable, user\-friendly digital solutions (primarily Power BI) and delivering actionable insights that shape business strategies.

Key Responsibilities

Performance Analytics \& Insight Generation

• Deliver actionable insights to support:


• Sales performance


• Pipeline health


• Growth and retention initiatives


• Identify trends, risks, and improvement opportunities


• Support leadership with clear, data\-driven recommendations

• Utilize advanced analytics techniques to extract valuable insights from large and complex datasets, supporting strategic decision\-making


• Spearhead the implementation of machine learning models to:


• Automate data processes


• Enhance predictive analytics


• Improve forecasting, pipeline analysis, and performance tracking


• Apply appropriate ML methodologies (e.g., clustering, decision trees, neural networks), understanding their strengths, limitations, and business applicability

• Design and develop end\-to\-end reporting solutions, primarily in Power BI


• Translate business requirements into intuitive, decision\-oriented dashboards


• Ensure solutions are easy to use, scalable across countries, aligned with business priorities

• Bachelor’s or Master’s degree in Business, Statistics, Data science, or related field


• 5–6 years of experience in business intelligence, business analytics, or similar roles


• Strong expertise in:


• Power BI (or similar BI tools)


• Data modelling and visualization


• Mandatory: Proven experience applying AI and machine learning tools to sales analytics development

• Strong analytical and problem\-solving skills


• Ability to translate complex data into clear, actionable insights


• Experience working with fragmented and complex datasets


• Solid understanding of sales processes and performance drivers


• Strong knowledge of machine learning techniques, including: clustering, decision tree learning, neural networks


• Strong stakeholder management and communication skills


• Nice to Have (Optional): Previous experience coordinating or mentoring team members

At Ecolab, we prioritize our talent\-first philosophy by creating the most capable and diverse team to excel at our nearly three million customer sites. Building on a century of innovation, our 48,000 associates help deliver comprehensive science\-based solutions, data\-driven insights and world\-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets in more than 170 countries around the world. Our solutions not only enhance operational efficiency but also contribute to sustainability and public health, making a positive impact on the world. We are committed to eliminating unnecessary complexities and embracing a beginner's mindset, continuously seeking new perspectives and innovative solutions to stay ahead in a rapidly changing world.

*Ecolab’s commitment to diversity, equity and inclusion (DE\&I) reflects our longstanding value of working together to integrate diverse perspectives to challenge ourselves, reach our goals and do what’s right.*

Apply today and join one of the most ethical companies with over a hundred years of history.

Join Ecolab and help us protect what’s vital.

\#li\-eu

Nuestro compromiso con una cultura de inclusión y pertenencia

Ecolab está comprometido con el trato justo e igualitario de todas las personas colaboradoras y postulantes, y con la promoción de los principios de igualdad de oportunidades en el empleo. Reclutaremos, contrataremos, promoveremos, transferiremos y brindaremos oportunidades de desarrollo con base en las calificaciones individuales y el desempeño laboral, en todos los aspectos relacionados con el empleo, la compensación, los beneficios, las condiciones laborales y las oportunidades de crecimiento. Ecolab no discriminará a ninguna persona colaboradora ni postulante por motivos de raza, religión, color, credo, nacionalidad, estado de ciudadanía, sexo, orientación sexual, identidad y expresión de género, información genética, estado civil, edad o discapacidad.

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