Analytics Internship: Products & Services Ops

Bayerische Motoren Werke Aktiengesellschaft; Farnborough; On-site; GBP 21,000 - 27,000; Full time

Benefits offered by this job

27 days holiday pro rata

Subsidised on-site restaurant

Advantages scheme

Attractive pension scheme

Job summary

BMW Group in Farnborough, United Kingdom, offers a 13-month placement year in Products & Service Management. You will support data analytics across in-life products and services, helping to build KPI reporting and predictive capabilities.

The role develops skills in Excel, Python and data visualization, with opportunities to interact with internal and external stakeholders and contribute to cost reduction and service delivery.

Qualifications

• Studying for an undergraduate degree 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 initiatives.
• Identify 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 communications.
• Build 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.

Skills

Strong numerical ability

Excel proficiency

Python

Data visualization

Education

Undergraduate degree in Business or STEM

Tools

Python

Data visualization tools

Job description

BMW Group in Farnborough, United Kingdom, offers a 13-month placement year in Products & Service Management. You will support data analytics across in-life products and services, helping to build KPI reporting and predictive capabilities.

The role develops skills in Excel, Python and data visualization, with opportunities to interact with internal and external stakeholders and contribute to cost reduction and service delivery.