FAQs
What qualifications do I need to apply for the Data Apprentice position?
You should be studying towards a Digital and Technology Solutions degree apprenticeship.
What will my main responsibilities be in this role?
You will support the Enterprise Data Owner, maintain relationships with business partners, assist with data quality initiatives, contribute to reporting and analytics, and support data governance programs.
Is this role open to all candidates, regardless of background?
Yes, we celebrate diversity and welcome applications from individuals of all backgrounds, regardless of skin color, beliefs, or personal expression.
What kind of support does Mercedes-Benz Financial Services offer during the recruitment process?
We provide support throughout the recruitment process, including reasonable adjustments for candidates who need them, and we’re happy to discuss flexible working options.
What training and development opportunities are available for the Data Apprentice?
You will receive training and support to develop your skills in data analytics, business intelligence, and data governance, along with access to wellbeing resources.
What benefits are included with the Data Apprentice position?
We offer a competitive salary, discretionary bonus structure, access to colleague car schemes, pension scheme, flexible benefits pot, and wellbeing resources.
When is the closing date for applications?
The closing date for applications is 18 October 2024.
How will my personal data be handled during the application process?
Your personal data will be processed in accordance with the General Data Protection Regulation and will only be shared with relevant managers and HR colleagues.
What kind of reporting will I be involved in as a Data Apprentice?
You will support designing and deploying reports, building analytics capabilities, creating ad hoc reports, and developing dashboards and visualizations.
Can I apply if I do not have prior experience in data analytics?
Yes, while prior experience is beneficial, the role is also suitable for candidates who are eager to learn and develop their skills in data analytics and business intelligence.