Advanced Sales Analyst

As an Advanced Sales Analyst at our company, you will be responsible for statistical data and forecasting models that are provided as a service for companies worldwide. Your role will involve adopting existing statistical data and forecasting models, enhancing them, and creating new models to integrate into business processes for added value. You will utilize data mining techniques to optimize sales processes using predictive and descriptive methods. Evaluating forecast quality and optimization results, effectively communicating these results, and collaborating with business process owners will be key aspects of your role. Your expertise in data science will also be sought after by various departments within the organization. **Key Responsibilities:** - Responsible for statistical data and forecasting models, providing services for companies globally. - Develop and enhance existing forecasting models and create new models integrated into business processes. - Utilize data mining techniques to optimize sales processes. - Evaluate forecast quality and optimization results. - Communicate results effectively and collaborate with business process owners. - Provide guidance and advice to departments regarding data science. **Qualifications Required:** - Degree in statistics, mathematics, business informatics, or related field. - Proficiency in advanced analytics methods such as data mining, predictive analytics, and machine learning. - Proficient in statistical tools like KNIME, RStudio, SAS, SPSS, Matlab. - Strong knowledge of SQL and Python for complex database queries. - Experience with visualization and reporting solutions like SAP BW, SAP Analytics Cloud, Spotfire, Power BI. - Customer-oriented, quality-conscious, analytical, and goal-oriented. - Ability to work effectively in a remote setting and collaborate with teams and stakeholders. - Good English skills for standard communication within the team. This job requires individuals with a strong background in statistics, mathematics, and business informatics. Proficiency in advanced analytics methods and tools, along with the ability to handle complex database queries, work with data mining techniques, and effectively communicate and collaborate with stakeholders, are crucial for success in this role.,