Data Analytics

Among your key responsibilities as are as follow:
• Illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modelling results as measures of the business’s impact
• Create high level presentations providing senior management level summaries of current actions and future proposals.
• Use of statistical analysis and data visualization techniques, to create solutions that enable enhanced business performance
• Utilize data science (MS Azure, ML Studio, R, Phyton) and data engineering (Alteryz, SQL) to improve efficiencies, improve cost and increase profit margins
• Use large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action
• Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings
• Prepare reports and presentations for relevant stakeholders that will give insights for decision making
• Identify relevant pricing data sources and sets to mine, collect large structured and unstructured pricing datasets and variables
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Analyze data for trends and patterns, and Interpret data with a clear objective in mind
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Devise reporting which presents results in a clear manner
• Create automated anomaly detection systems and constant tracking of its performance

About You:

To be successful for the role you must have the following skills and qualifications:
• Bachelor’s Degree (MBA Preferred) with demonstrated experience in any of the following: - Business Administration, Economics, Mathematics, Information Technology & Finance
• Minimum 5 years’ work experience in a multinational environment
• 2+ years of hands-on work experience using analytical tools (e.g., R, Python) to solve real world problems preferably knowledge on pricing analytics
• Distributor and OEM experience is an advantage
• •Commercially minded is critical, required to think in the shoes of a customer and how your decisions could impact them
• Exceptional communication skills, especially around translating technical knowledge into forms that can be digested by leadership and non-technical project teams
• •Strong MS packages knowledge with excellent PowerPoint skills is a must
• •Knowledge of advanced PowerPoint software such as ThinkCell would be an advantage
• Excellent Strong analytical and problem-solving skills
• Highly adaptable with meticulous attention to detail
• Excellent organizational abilities
• Experience programming (beyond simple scripts) in a modern scientific language would be beneficial but not essential (e.g., Python, Matlab, R)
• Working knowledge and experience of using Tableau is essential