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| Job Location | Manchester |
| Education | Not Mentioned |
| Salary | £45,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Senior Data Analytics & Insight Consultant Manchester£45,000 per annumCompanyclient is a true global leader is business consultancy and professional services. Their most profitable and high-growth area sits within the ever-evolving digital audit business, which is the clear global market-leader.As ever, the demand for data analytics & insight talent for this business unit is high.Our client is a true global leader is business consultancy and professional services. Their most profitable and high-growth area sits within the ever-evolving digital audit business, which is the clear global market-leader.As ever, the demand for data analytics & insight talent for this business unit is high.Currently, our client wishes to see Manchester or London talent within this area - to work on a hybrid basis - paying c£45,000. Ideally, you will carry 2-5 years experience within a data analytics capacity in a commercial environment.Key drivers of the role:-*Data transformation and modelling (e.g. pandas and scikit-learn in Python);*Data storage and querying (e.g. SQL, Alteryx, Python);*Data visualisation experience (eg PowerBI, Tableau)*Understanding of common data quality issues and they effect they have on machine learning models;*Data cleansing and manipulation for machine learning (e.g. feature engineering);*Knowledge of the current data science software platforms.To be successful in this role you will need to demonstrate the following:*The ability to come up with creative solutions to complex problems;*Experience working and leading a team and on listed/multinational clients*Exceptional analytical and technical aptitude;*Exceptional attention to detail;*The ability to manage time, prioritise tasks and work under tight deadlines;*Ability to coach and support team members;*Concise and clear communication when presenting and explaining results and findings.*Client relationship-building and management skills*Experience in working in complex environments*Experience in coaching junior colleagues and an interest in developing others*2:1 university degree in any subject (or equivilent) with an interest in data analytics, machine learning, data science, data mining & coding
Keyskills :
data analytics