Senior Data Analyst
3 weeks ago
JLR is harnessing technology to make driving smarter, safer and cleaner. You can help create a world in which responsible, sustainable vehicles revolutionise the driving experience for generations. Our vision is to leverage the incredible potential of technology to build vehicles that not only offer a premium, all-encompassing digital experience, but that also make our customers lives better.
WHAT TO EXPECT
Be at the forefront of innovation within our Data Analytics Chapter as we aim to empower engineers to make data-driven decisions by providing accessible, reliable data and delivering insightful analytics to squads across the organisation. The team develops methods and tools that leverage the data collected off-fleet and customer vehicles, supporting improvements to Body/Chassis features and systems that will ensure an expectational experience for JLR’s customers.
In this role, you will work with engineering teams in Body Chassis Engineering to understand their key questions and identify problem statements that could be solved using advanced analytics, machine learning, or the automation of processes. You will identify, analyse and interpret trends in complex data sets and utilise modelling techniques, to generate insights into our systems and how customers operate their vehicles.
Key Accountabilities and Responsibilties
Understand data requirements of stakeholders, including problem-scoping Use statistical techniques to deliver robust and accurate results, considering variable data quality, and communicate conclusions and insights to stakeholders Create data visualisations and dashboards utilising tools such as Tableau Ensure customer privacy is protected at every stage of data analysis Contribute to knowledge sharing and the continual improvement of the team’s technical capabilities, and collaborate with the wider JLR data community to ensure the team works with the latest technology, techniques, and best practicesWHAT YOU’LL NEED
Extensive experience in Data Engineering, Analysis, or Science and/or within an Engineering field, particularly Automotive Practical application of SQL or Python, with knowledge of cloud computing platforms such as GCP or AWS Excellent level of ability to structure, analyse and interpret data Good understanding of data visualisation principles, with experience in using tools such as Tableau, Looker, Power BI, etc. Understanding of advanced analytics techniques (statistical analysis/modelling, experiment design, optimisation)-
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