The Head of Aftermarket Advanced Analytics will drive the strategic vision and execution of advanced analytics within ZF Aftermarket. This role is pivotal in scaling up the analytics team, industrializing advanced analytics practices, and transforming the team into a strategic partner for the business. The focus will be on delivering commercial benefits, enhancing business effectiveness, and improving customer experience through data-driven insights and solutions.

• Strategic Leadership: Define, design, and deploy the advanced data analytics vision and strategy across the organization.
• Team Scaling and Industrialization: Scale up the analytics team by industrializing advanced analytics practices, ensuring the team is equipped with the necessary skills and tools.
• Process Improvement: Enhance the way of working by bringing more structure to priority setting and project management, ensuring efficient and effective delivery of analytics projects.
• Business Partnership: Shift the team’s focus from being a data solution delivery factory to becoming a true partner of the business, providing strategic insights and recommendations.
• Advanced Analytics Deployment: Implement advanced analytic capabilities within sales, marketing, and logistics functions to optimize adoption and business impact.
• Keeping Up with Technological Advancements: Stay updated with the latest advancements in analytics tools, technologies, and methodologies, and encourage continuous learning within the team.
• Measuring and Demonstrating Impact: Establish clear KPIs and metrics to track the performance of analytics projects and regularly communicate their impact to stakeholders.

• Proficiency in statistical modeling and data mining techniques to analyze and interpret complex data sets.
• Hands-on experience with programming languages such as Python, R, SQL, and other relevant tools for data analysis and machine learning.
• Mastery in creating clear and actionable data visualizations using tools like Power BI.
• Ability to manage and integrate large datasets from various sources, ensuring data quality and accessibility.
• Agile, creative and able to lead remote teams in complex matrix organizations
• Strategic, analytical and creative thinker with problem solving attitude
• Ability to explain sophisticated solution in layman terms