Data Analytics Graduate
2 weeks ago
Join Jaguar Land Rover's Data Analytics Cross-Functional Graduate Programme and embark on a transformative journey that will equip you with the skills and expertise to drive business growth and innovation. As a graduate, you will be part of a dynamic team that harnesses the power of data to inform decision-making and shape the future of our business.
Programme OverviewThe programme is designed to provide you with a comprehensive understanding of data analytics, including data engineering, data science, and data visualisation. You will work on high-profile projects, gaining insights from industry leaders, experts, and senior managers. Throughout the two-year programme, you will be allocated to a primary team, allowing you to develop deep expertise in that area of the business. You will also undertake a placement into one of the other cross-functional teams, broadening your experience and skills.
Key Responsibilities- Develop and implement data-driven solutions to drive business growth and innovation
- Work collaboratively with cross-functional teams to identify and address business challenges
- Apply data engineering, data science, and data visualisation skills to inform decision-making
- Contribute to the development of data-driven strategies and initiatives
As a graduate on this programme, you will receive:
- A competitive salary of £32,000, with a £2,000 joining bonus
- A comprehensive training and development programme, including a six-week data skills bootcamp
- Opportunities for career progression and professional growth
- A dynamic and supportive work environment
To be eligible for this programme, you must:
- Hold or be on track to achieve at least a 2:2 degree in any discipline
- Have a passion for analytics and a drive to deliver innovative solutions
- Be a skilled problem-solver with strong numerical and interpersonal skills
We are committed to fostering a diverse and inclusive culture that is representative of the society in which we live. We welcome applications from candidates with a range of backgrounds and experiences.
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