Join to apply for the EMEA Sales Data & Analytics Specialist role at Amplifon We are seeking an EMEA Sales Data & Analytics Specialist to join our EMEA Retail Excellence team. This role focuses on developing advanced analysis, machine learning models, and data visualization products. You will work across the entire retail business to optimize sales strategies, generate new business opportunities, and foster growth. Main activities: Work on strategically identified, cutting-edge data science use cases covering the entire sales journey. Utilize advanced analytics methods to extract insights from business data. Perform analysis and build data-driven models to address business questions and needs. Create hypotheses and experiments to identify hidden relationships and inform new sales strategies. Develop visualizations and presentations to influence key stakeholders and implement data science recommendations. Develop machine learning models to facilitate sales processes. Collaborate with teams across Marketing/CRM, IT, Reporting & Analytics to build shared data products, dashboards, and advanced analyses. Skills and Experience: Degree in Data Science, Mathematics, Statistics, Physics, Economics, Computing, or Engineering. 3-5 years of experience in data science projects, preferably in digital, customer, or retail data science, including churn analytics, text analytics, sales forecasting, customer segmentation, and lifetime value modeling. Experience with large language models or data governance/quality tools is a plus. Ability to build long-lasting relationships based on trust. Experience managing external resources for model development and analysis. Open-mindedness to change and continuous improvement. Self-starter attitude with vision beyond immediate tasks. Ability to work in a fast-paced environment with multiple stakeholders. Strong analytical, mathematical, and critical thinking skills, with excellent communication and team-building abilities. Proficiency in Office, Excel (pivot, macro, formulas), SQL, Python, DAX, PowerBI, and PowerPoint. Knowledge of code versioning and testing. Nice to have: familiarity with Dataiku and GCP tools. Fluent in English. Additional details: Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Retail, Pharmacies, Medical Equipment Manufacturing J-18808-Ljbffr