Analytics Intern: Product & Service Insights (13 months)

BMW Group; Aldershot; On-site; GBP 23,000 - 28,000; Full time

Benefits offered by this job

Competitive salary

27 days holiday pro rata

Pension scheme

On-site restaurant

Advantages scheme

Job summary

BMW Group is offering a 13-month student placement in Data Analytics in the UK, with a focus on turning data into insights that drive customer understanding and service improvements. The role involves leading improvement projects, KPI reporting, and working with large data sources and visualization tools.

The placement requires an undergraduate degree in business or a STEM field, strong numerical ability, and proficiency with Excel; Python or data visualization experience is a plus.

Qualifications

• Studying for an undergraduate degree level in general Business or a STEM-based subject and on track to achieve a 2:2 or above
• Strong numerical ability
• Proven Intermediate level Excel is essential
• Experience of Python or working with data visualisation would be advantageous

Responsibilities

• Support key department and company opportunities for improvement and lead projects to deliver quantifiable improvements
• Supporting in the maintenance of Key Performance Indicator reporting, identifying trends to drive focus topics
• Working with large data sources and learning to use data visualisation software
• Help to develop our predictive analytical capabilities resulting in targeted customer and maintain relationships with internal/external customers and suppliers to ensure an optimised level of service delivery and cost reduction
• Help to identify and implement opportunities for process efficiency

Job description

BMW Group is offering a 13-month student placement in Data Analytics in the UK, with a focus on turning data into insights that drive customer understanding and service improvements. The role involves leading improvement projects, KPI reporting, and working with large data sources and visualization tools.

The placement requires an undergraduate degree in business or a STEM field, strong numerical ability, and proficiency with Excel; Python or data visualization experience is a plus.