Data Analyst Apprentice

1 month ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. We are looking for a Data Analyst Apprentice to join our team and work towards a Level 4 qualification. The primary objective of the role is to collect and interpret key data in order to produce reports and performance dashboards for 4 key business areas – People Support, People Development, Fleet and QHSE. As part of the apprenticeship, you will develop your knowledge of statistical analysis and the tools for date visualisation. About The Role On a day-today basis this is what you would be doing: Produce regular and ad hoc reports as identified by business leaders Interpret data and use statistical analysis to identify trends Using tools and techniques to visualise data in easy-to-understand formats, such as diagrams and graphs Maintain, update and improve management reporting systems Who are we looking for? Here is a quick tick list for the other skills we are looking for: 5 GCSEs including English and Maths at grades A* – C or 4 – 9 Level 3 qualification in a similar subject e.g Maths would be an advantage Excellent written and verbal communication skills Good organisation, planning and time management skills Experience in Power BI would be beneficial but not required What We Offer Competitive salary Attractive company pension Company sick pay Voluntary critical illness cover Free eye tests Free flu jabs 24/7 Employee Assistance Programme Benefits platform with instant discounts and offers We will provide you with industry leading technical training to ensure you have the knowledge and all the tools to do your job. Plus, there are plenty of opportunities to progress your career and develop your skills within Toyota. Why choose Toyota Toyota Material Handling is the world\’s number one manufacturer of materials handling equipment providing quality sales and service support across the UK. We foster a culture where our team members are encouraged to continually improve their processes and strive to provide the highest quality in service for our customers. We aim to create a safe environment where our team members feel valued, fulfilled, engaged and happy. We want to attract the best talent and develop our team so that they achieve their full potential. Our commitment is to read each application carefully, however due to the high volume of applications we receive regrettably only those selected for an interview will be contacted. Please note that by submitting your application you are giving permission for your personal information to be shared with LearnTech College. Toyota Material Handling UK is an equal opportunities employer. Seniority level Seniority level Internship Employment type Employment type Temporary Job function Job function Information Technology Industries IT System Data Services Referrals increase your chances of interviewing at SEI Europe by 2x Sign in to set job alerts for “Data Analyst” roles. Leeds, England, United Kingdom 1 week ago Leeds, England, United Kingdom 1 week ago Data, Insight & Analytics Graduate Programme Leeds, England, United Kingdom 2 weeks ago Leeds, England, United Kingdom 4 weeks ago Leeds, England, United Kingdom 1 week ago Harrogate, England, United Kingdom 3 days ago Doncaster, England, United Kingdom 1 month ago Leeds, England, United Kingdom 4 days ago Leeds, England, United Kingdom 3 weeks ago Leeds, England, United Kingdom 1 week ago Leeds, England, United Kingdom 1 week ago Leeds, England, United Kingdom 5 days ago Sheffield, England, United Kingdom 1 week ago Leeds, England, United Kingdom 1 week ago West Yorkshire, England, United Kingdom 1 week ago Sheffield, England, United Kingdom 1 day ago Leeds, England, United Kingdom 1 month ago Data Analytics and Business Intelligence Senior (M/W) Shipley, England, United Kingdom 3 days ago Leeds, England, United Kingdom 3 days ago York, England, United Kingdom 1 month ago Sheffield, England, United Kingdom 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr