Development and evaluation of advanced analytics models, including creating, validating, analyzing and explaining the data used for model development.
Extract, clean, merge, transform and compile data from various data sources, including relational database, flat files, NoSQL databases and unstructured data.
Working with Leyland stakeholders to develop new analytics solutions, identify new data useful for analytics projects, and support analytics best practices whilst working with PACCAR Advanced Analytics centre of excellence.
Develop new process improvements to increase the speed, accuracy and efficiency of our work.
Provide accurate, relevant and meaningful ad-hoc analysis to management to support decision-making.
Experience and Qualifications
Experience with or understanding of statistical techniques, modelling, machine learning and programming (R, Python, Java, or C#).
Experience working with structured and unstructured data, including relational databases (SQL Server), flat files (CSV), NoSQL databases (MongoDB).
Must be a highly-motivated and self-directed learner with a creative mind, high attention to detail and a solution-oriented outlook
Candidate must demonstrate strong analytical skills, excellent general business acumen, with the ability to communicate concisely and clearly.
Degree qualified in Business Administration, Computer Science or a related field.
Proficiency with Microsoft Office suite required.
We are offering a salary of £26K, final salary pension scheme, private medical outpatients scheme, 25 days holidays plus statutory bank holidays.