Data Engineer
HRU
- Auburn Hills, MI
- Contract
- Full-time
- 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.
- Develop Python-based tools and reports to improve data understanding and effiencies for multiple groups within Aftersales
- Develop method(s) for connecting data sources for deeper data understanding, analysis and reporting
- Work closely with Data Scientists and Analysts to understand business needs and grow data understanding and analytics within Aftersales
- Collaborate with other teams within VW/Audi Aftersales to create synergies within groups to improve efficiencies
- Support data requests from management, and the creation of special reports within Aftersales
- 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
- Automotive technical knowledge/experience
- Working knowledge of automotive warranty systems and processes
- Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc.
- Bachelor degree in Information Technology, Computer Science, Applied Math, Statistics, Data Analytics, Data Science, or a related field