M24, Middleton, Borough of Rochdale, Greater Manchester, United Kingdom
ITOL Recruit
various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoftexcel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use More ❯
and financial acumen. Ability to influence and engage stakeholders at all levels. Excellent verbal and written communication skills. Active listening skills and negotiation expertise. Project management experience. Proficiency in Microsoft Office, PowerPoint, and Excel. Ability to work under pressure and manage competing priorities. Benefits Include: Pension contribution. Competitive holiday allowance. Employee Assistance Programme. Discount platform. Life assurance benefit. Cycle More ❯
improvement. Assist the Data Governance team in driving high-quality data standards across the business. Technical Competencies Strong experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. … Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation, and validation. Understanding of data governance principles around quality, security, and compliance. More ❯
improvement. Assist the Data Governance team in driving high-quality data standards across the business. Technical Competencies Strong experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. … Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation, and validation. Understanding of data governance principles around quality, security, and compliance. More ❯
