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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