Description

Our OEM Client based in Gaydon, is searching for a Data Science / Data Mining Specialist to join their team, Inside IR35. This is a maternity cover contract position with a proposed end date of 26th March 2027. Umbrella Pay Rate: £29.64 per hour. Key Accountabilities and Responsibilities: Engage with stakeholders and management to identify opportunities, improvements and gaps in current reporting.
Identify, clean and transform operational data to create actionable insights and dashboards.
Automate data extraction and transformation processes.
Identify, develop and maintain Power App solutions for gaps in current data capture.
Undertake any other work as directed by their line manager in connection with their job as may be requested from time to time.
Key Interactions: Manufacturing Engineering Platform Teams.
Manufacturing Engineering Management.
JLR Digital / data teams.
Essential Skills, Knowledge and Experience Required: Hard Skills: Proven experience of developing dashboards and reporting capabilities with Tableau.
Ability to visually display data in a meaningful way that helps the end user understand business performance and take appropriate actions.
Understanding of data modelling and relational database structures.
Experience using SQL to extract and transform data.
Experience automating data extraction and transformation processes.
Experience developing and maintaining Power Apps and Power Automate solutions.
Possess a valid driving licence, required to travel to different UK sites when required.
Soft Skills: Ability to work independently and proactively, taking full ownership and responsibility for own work; fully invested in achieving a successful result.
You view things as a team rather than individual project level, considering the wider team needs.
Strong interpersonal/communication skills, including ability to manage relationships and communicate effectively at all levels.
Good influencing skills.
Good problem-solving skills.
Desirable Skills, Knowledge and Experience Requested: Hard Skills: Experience using the Enterprise Data Warehouse to extract, transform and load data.
Experience with Python.
Education Required: Relevant Data apprenticeship / Degree or equivalent experience preferred