7 of 7 Microsoft Excel Jobs in Oxford

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python

method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python

Analyst should have: A strong background in financial planning and analysis within the Technology & Telecoms industry. Proficiency in financial modelling and advanced Excel skills. Excellent analytical and problem-solving abilities. Knowledge of relevant accounting principles and financial regulations. The ability to communicate complex financial information clearly and effectively.

variety of different tasks Highly analytical with a honed ability to problem-solve & optimise. Team player with excellent people skills Demonstrate competency of using Microsoft Excel, Word and PowerPoint Benefits Include: Hybrid working with 1 x day in office 25 days holiday plus bank holidays Cycle

understanding and awareness of Computer Systems Validation (CSV) An understanding of Quality audits, investigations, and root cause analysis and change Control Processes Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint) Proven knowledge and application of GMP and wider pharmaceutical Quality standards. Awareness of Quality Systems with

Data Protection Officer will have: Experience in data protection, privacy, or a related area. Understanding of GDPR and the data lifecycle. Strong proficiency across Microsoft tools (Excel, Word, SharePoint, Teams). Experience handling supplier due diligence or privacy-related assessments. Familiarity with DPIAs/PIAs and data