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Strategic AI Commercial Operations Analyst

Italy, Vimercate 43500.00 - 65200.00 EUR / Year · Job Posted June 29, 2026
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Job Description

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.

Job Responsibility

  • 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
  • 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
  • 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

Requirements

  • Bachelor’s or Master’s degree in Business, Statistics, Data science, or related field
  • Proven experience applying AI and machine learning tools to sales analytics development
  • 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
  • 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

Previous experience coordinating or mentoring team members

What we offer

  • Healthcare
  • Time-away policies
  • Short- and long-term financial incentives
  • Retirement income and planning

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