WHAT TO EXPECT
In order to meet JLR's ambitious global growth plans, tackle the ever-increasing challenges being faced by our business and elevate Transformation to the levels required to deliver a sustainable industry-leading organisation, JLR is continuing to invest in its internal Analytics capabilities.
The Customer Service Quality team uses advanced analytics to integrate data from numerous sources throughout the vehicle's lifecycle and run predictive analytics to identify and prioritise root causes of product quality issues.
We are currently undergoing an ambitious transformation program that entails building a robust in-house analytics solution to handle the integration, modelling, prediction and inference of all customer quality issues utilising the best in class data analytics and machine learning tools and methods.
This new analytics team will be responsible for developing and delivering our analytics strategy, coordinating our in-house analytics capability and solving our most complex analytics problems. To do this we are assembling an expert multi-disciplinary team of analytics professionals from a wide range of backgrounds.
We are looking for outstanding problem solvers who are inquisitive and excellent with technology. They will be executing data analytics projects that are varied in nature and demand a wide spectrum of skills from data manipulation and integration through to cloud solution deployment. They will need to love working with data and to be detail orientated and methodical. Whilst existing knowledge of numerous analytics and software tools is not a prerequisite, self-motivation to learn and an ambition to become an expert in applying such technologies is essential.
The role will require working within analytics project teams and with a wide range of functional business partners. They'll focus on development of sophisticated data pipelines. They'll need to have experience with coding and software development and be a strong independent problem solver capable of working through complex problems with minimal guidance following a project kick off. The role includes supporting and mentoring junior team members with, therefore an interest in knowledge dissemination and working with junior team members is essential.
WHAT YOU WILL NEED
Experience with software development in a language such as Python or similar (R, C#, Java, etc)
Experience implementing and maintaining data pipelines (SQL, Python, etc)
Experience with Cloud-based platforms (GCP or similar), and corresponding toolsets.
Experience with some of the following is highly desirable but not essential:
Test-driven development and version control (git), workflow orchestration (Airflow)
Containerisation and cloud deployment (Docker, Kubernetes)
Can effectively take a leadership role on a moderately complex project with a few (2-3) other people working on it
Helps drive a culture of continuous improvement by identifying team weaknesses and potential solutions