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

• 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) and understand 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 and ensure solutions are easy to use, scalable across countries, and aligned with business priorities.

Qualifications

• 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) and data modelling and visualization.
• Proven experience applying AI and machine learning tools to sales analytics development.

Skills & Competencies

• 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.
• Optional: Previous experience coordinating or mentoring team members.

Equal Opportunity Statement

Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.