Conduct research on the latest trends, technologies, and developments in the automotive industry. Stay updated on competitors, customer preferences, and emerging technologies to provide valuable insights to the team.
Utilize your creativity and proficiency with data visualization tools to present complex automotive data in a visually appealing and easily understandable manner.
Assist in cleaning and validating the automotive data to ensure accuracy and consistency.
Work on basic data analysis tasks like summarising data, identifying patterns, and performing basic statistical analysis. Your efforts can contribute to more comprehensive insights and aid in identifying areas of improvement.
Explore small-scale machine learning, develop predictive models for specific automotive-related metrics, or implement clustering algorithms to segment member data.
Help analyze member behaviors data to gain insights into their preferences, pain points, and patterns.
Requirements & Skills:
Currently in their penultimate or final year of a bachelor’s degree in a relevant area (e.g. IT, Computer Science, Mathematics, or Statistics)
The ability to work across our Mile End site and our office in Adelaide’s CBD
Experience in customer service, retail, and/or hospitality is highly desirable
Experience working with Tableau, SQL, and Power BI is highly desirable
High academic achievement (minimum GPA 5.0 or credit average)
Teamwork is demonstrated through extracurricular activities (e.g. sports, clubs, work, societies)
Strong interpersonal and relationship-building skills with a high level of emotional intelligence
High level of attention to detail
Intermediate skills in MS Office suite (Outlook, Word, Excel & PowerPoint)
