1 to 25 of 268 Microsoft Excel Jobs in Central London

data administration functions including collection, analysis, and distribution. Experience implementing and improving data governance processes. Excellent communication skills with the ability to engage stakeholders at all levels. Proficiency in Microsoft Office, especially Excel and PowerPoint. Experience with data querying and visualisation tools such as SQL, Tableau, or Power BI. Analytical mindset with problem-solving skills. Ability to … system technologies. Experience in real estate or professional services sectors. Awareness of data privacy regulations and compliance requirements. Proven success in large-scale data migration projects. Software/Tools Microsoft Excel, PowerPoint SQL Tableau, Power BI Certifications & Standards Relevant data governance or data management certifications (desirable) Knowledge of data privacy and compliance standards (e.g., GDPR) If you More ❯

paced business environment, working alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. More ❯

paced business environment, working alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. More ❯

strong desire to learn) CRM systems — ideally Salesforce Strong analytical skills, with ability to work with large data sets and derive insights Proficiency in SQL, data manipulation (e.g. Excel/Python/Power BI tools) Understanding of sales & commercial processes and metrics (pipeline, funnel, conversion rates, forecast) Meticulous attention to detail and strong problem-solving mindset Excellent communication More ❯

strong desire to learn) CRM systems — ideally Salesforce Strong analytical skills, with ability to work with large data sets and derive insights Proficiency in SQL, data manipulation (e.g. Excel/Python/Power BI tools) Understanding of sales & commercial processes and metrics (pipeline, funnel, conversion rates, forecast) Meticulous attention to detail and strong problem-solving mindset Excellent communication More ❯

BI : Strong experience building dashboards and data models. SQL : Comfortable writing and optimising queries for complex datasets. Python (or other scripting languages) : Exposure ideal; willingness to learn expected. Excel : Fluent, particularly for modelling and cross-functional reporting. Ability to translate business problems into technical solutions , working autonomously and with non-technical stakeholders. Who We’re Looking For More ❯

marketing Make complex technical concepts simple for clients, by explaining the story behind the information The Person Experience with coding environments such as Python and SQL Highly proficient in Microsoft Excel, with experience in CRM/marketing automation tools such as Braze, Atreemo or DotDigital Skilled in data visualisation and reporting, with experience in Power BI (including More ❯

marketing Make complex technical concepts simple for clients, by explaining the story behind the information The Person Experience with coding environments such as Python and SQL Highly proficient in Microsoft Excel, with experience in CRM/marketing automation tools such as Braze, Atreemo or DotDigital Skilled in data visualisation and reporting, with experience in Power BI (including More ❯

s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM systems (e.g., Salesforce) and familiarity with BI tools (e.g., Tableau, Power BI). Attention to Detail: Ability to manage multiple projects with More ❯

s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM systems (e.g., Salesforce) and familiarity with BI tools (e.g., Tableau, Power BI). Attention to Detail: Ability to manage multiple projects with More ❯

or equivalent). Degree in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science. Strong analytical and quantitative skills with excellent attention to detail. Proficiency in Excel ; familiarity with Python, R, Power BI, or SQL is advantageous. Clear and confident communicator, comfortable presenting insights to senior stakeholders. Intellectually curious, methodical, and motivated by solving complex problems. More ❯

or equivalent). Degree in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science. Strong analytical and quantitative skills with excellent attention to detail. Proficiency in Excel ; familiarity with Python, R, Power BI, or SQL is advantageous. Clear and confident communicator, comfortable presenting insights to senior stakeholders. Intellectually curious, methodical, and motivated by solving complex problems. More ❯

in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication and stakeholder management skills More ❯

in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication and stakeholder management skills More ❯

as applied in a service/consulting environment. Basic knowledge of project management methodology to include planning, schedule development, and cost management. Advanced MS Office to include Word, Excel, Teams, PowerPoint, and SharePoint. Ability to engage and develop relationships with key stakeholder decision makers. Ability to creatively and effectively communicate in writing and verbally to include creating presentations More ❯

as applied in a service/consulting environment. Basic knowledge of project management methodology to include planning, schedule development, and cost management. Advanced MS Office to include Word, Excel, Teams, PowerPoint, and SharePoint. Ability to engage and develop relationships with key stakeholder decision makers. Ability to creatively and effectively communicate in writing and verbally to include creating presentations More ❯

processes to drive efficiency, quality and compliance Skills, experience, qualifications S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio … degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

processes to drive efficiency, quality and compliance Skills, experience, qualifications S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio … degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

Morgan Hunt are working with an UK Government Organisation to recruit an Excel/VBA Application Support team member to join them on an FTC for the next 23 months. The main focus of the role is on Excel, supporting and creating spreadsheets, and on VBA. The role sits in the application support team, which is … a lot of focus is on the BAU side. Key Responsibilities Provide 2nd line support for incidents and problem resolution to minimize business disruption. Maintain, enhance, and support Excel-based tools (including VBA macros) for data analysis and reporting. Support and develop Power BI dashboards to improve data accessibility and insights. Contribute to projects and system change initiatives … ensure smooth operations. Collaborate directly with end users, providing responsive and effective support. Help improve data and insight delivery across the organisation. Essential Skills & Experience Strong recent experience in Microsoft Excel VBA and 2nd line application support. SQL Experience Technical knowledge of at least one of the following: Market data apps (Bloomberg, Reuters) Basic scripting (e.g., PowerShell More ❯

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. Microsoft excel - 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 ❯

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. Microsoft excel - 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 ❯

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. Microsoft excel - 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 ❯

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. Microsoft excel - 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 ❯

allocation methodologies, cost modelling, and financial analysis techniques. • Experience in budget development, resource planning, and financial forecasting. • Advanced proficiency in financial management systems (e.g., Oracle, SAP, MS Dynamics) and Microsoft Excel. • Excellent communication, stakeholder management, and presentation skills. • Exceptional analytical, problem-solving, and decision-making abilities. • Sound knowledge of relevant accounting standards (e.g., IFRS, GAAP) and applicable regulatory requirements. More ❯

allocation methodologies, cost modelling, and financial analysis techniques. • Experience in budget development, resource planning, and financial forecasting. • Advanced proficiency in financial management systems (e.g., Oracle, SAP, MS Dynamics) and Microsoft Excel. • Excellent communication, stakeholder management, and presentation skills. • Exceptional analytical, problem-solving, and decision-making abilities. • Sound knowledge of relevant accounting standards (e.g., IFRS, GAAP) and applicable regulatory requirements. More ❯