Product Support is the primary quality liaison group between the factories and company. The primary role of the Data Engineer position is to design, construct, test and maintain data sources for deeper analysis. Additionally, the Data Engineer will be responsible for monitoring/improving work processes, and developing and maintaining Python-based reporting functions.
Years of Experience:
2+ years Python programming experience
Description:
Data Engineering (50%) • Obtain and manage a sufficient set of usable data from multiple sources, including manipulating noisy and irregular data to produce clean datasets • Identify, design, and implement internal process improvements: data discovery, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc • Assemble and maintain large, complex data sets that meet functional / non-functional business requirements. • Enhance the data infrastructure framework by evaluating new and existing technologies and techniques to create efficient processes around data extraction, aggregation, and analytics • Establish and maintain standards and guidelines for the design, development, tuning, deployment, and maintenance of information and advanced data analytics • Work with IT&S to assist with data-related technical issues and ensure data architecture will support the business requirements. • Actively participate in knowledge sharing sessions, code and design reviews etc.
Reporting Functions (30%) • Develop Python-based tools and reports to improve data understanding and efficiencies for multiple groups within Aftersales • Develop method(s) for connecting data sources for deeper data understanding, analysis and reporting
Collaboration and Support (20%) • Work closely with Data Scientists and Analysts to understand business needs and grow data understanding and analytics within Aftersales • Collaborate with other teams within company Aftersales to create synergies within groups to improve efficiencies • Support data requests from management, and the creation of special reports within Aftersales
Required • Solid understanding of statistical modeling, predictive analysis, and data mining • Hands-on experience with Python and relevant packages • Demonstrated IT/Systems/Database background • Strong analytical skills • High self-organizing skills • Strong proficiency with the Microsoft Office Suite • Excellent interpersonal and communication skills • Ability to understand and communicate complex quantitative analysis in a clear, precise, and actionable manner
Desired • Automotive technical knowledge/experience • Working knowledge of automotive warranty systems and processes • Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc.
Education Required • Bachelor degree in Information Technology, Computer Science, Applied Math, Statistics, Data Analytics, Data Science, or a related field