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# Data Analyst

- **Company:** Proactive.IT Appointments Ltd.
- **Location:** London, UK
- **Salary:** £104,000.0 - £123,500.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Validation, Data Visualization, Python (Programming Language), Pivot Tables, Power BI, Tableau (Software), Transact-SQL, Macros, Microsoft Fabric
- **Published:** August 17, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-984B57C2D0ACA49529/

## About the Role

* Experience in data visualisation, using Power BI, Tableau or similar tools, and/or experience with T-SQL querying or Python for data manipulation.
 * Experience creating reports, dashboards or visualisations that communicate information clearly.
 * Proficiency in Microsoft Excel, including pivot tables, VLOOKUPs and basic macros.
 * Experience working with large or multiple datasets and ensuring data quality and accuracy.
 * Strong analytical and critical-thinking skills.
 * The ability to manage competing priorities and deliver accurate work to deadlines.

## Description

As a Data Analyst, you'll work with data from multiple sources, ensuring it is accurate, reliable and presented in a way that is meaningful to both technical and non-technical stakeholders. You'll have the opportunity to work with Power BI within the Microsoft Fabric environment, alongside T-SQL, Python and advanced Excel, while collaborating closely with senior analysts and teams across the business., * Collect, clean and organise large datasets from multiple sources, maintaining a high level of data accuracy and integrity.

 * Analyse data to identify trends, patterns and opportunities, translating findings into practical and actionable insights.
 * Develop engaging reports and dashboards using Power BI within the Microsoft Fabric framework.
 * Use T-SQL and/or Python to extract, manipulate and prepare data for analysis and reporting.
 * Work closely with senior analysts and stakeholders across different departments to understand business requirements and solve operational challenges.
 * Document analytical processes, workflows and procedures to support consistency and knowledge sharing.
 * Identify opportunities to improve reporting processes, data quality, efficiency and ways of working.
 * Apply a meticulous approach to data validation, analysis and reporting.
 * Ask the right questions of the data and challenge assumptions to maximise the value of business information.
 * Communicate analytical findings clearly through written reports, presentations and stakeholder discussions.
 * Use advanced Microsoft Excel, including pivot tables, VLOOKUPs and basic macros, to support data analysis and organisation.


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