• Develop data analytics applications using Qlik Sense; understand data requirements, data layouts, data analysis, and visualization of information
• Learn and understand relevant applications and business processes which produce Feature Usage data
• Establish a strong relationship with the central BI/data engineering COE to ensure alignment in terms of leveraging corporate standard technologies, processes, and reusable data models and contribute to, create, and maintain enterprise-wide standards, processes, and data systems as necessary
• Collaborate with the ICT Portfolio Planning, ICT Product Development, and ICT Connected Vehicle teams to understand requirements, use cases, and ensure development of robust, sustainable solutions
• Take action to avoid or remove redundancy and inconsistencies from a business and ICT perspective
• Recommend enhancements to record systems and data acquisition processes
• Support fellow ICT PD business process specialists and business partners in the creation of data analytics use cases
• Support cross-functional analytics projects and use cases
Basic Qualifications:
• Bachelor’s degree in Computer Science or related IT focused degree
• Self-motivator skilled in prioritizing and managing multiple tasks and projects
• Minimum 2 years of experience in the area of business intelligence or data analytics: concepts, approach, data lakes, data extraction, data transformation, data exploration and visualization
• Experience with business intelligence tools, for both guided and self-discovery analytics, such as QlikView/QlikSense, Tableau, PowerBI, Palantir (QlikView/QlikSense preferred)
• Strong knowledge of SQL and relational data principles
• Self-starter with the desire and ability to quickly learn new technologies
• Strong interpersonal skills with ability to communicate & build relationships at all levels
Preferred Qualifications:
• Strong working knowledge of statistical principles (correlations, distributions, regressions, variance)
• Experience in analyzing data from several sources, extracting relevant information and preparing insightful tools that support making data based business decisions
• Experience with multiple data formats and database types (CSV/TSV/JSON, GreenPlum, HBase/Phoenix, DB2, Oracle)
• Ability to work successfully within a cross functional team
• Automotive industry experience, especially involving connectivity, portfolio planning, or product development (deseable no obligatorio)