The London School of Economics and Political Science (LSE)

Data Analyst (support)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (support) at LSE, offering a 24-month fixed-term contract with a salary of £43,277 to £51,714 pa. Key skills required include data visualization tools, ETL processes, and experience with SQL databases. Hybrid work location.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
235
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🗓️ - Date
November 19, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Tableau Server #Data Visualisation #Source Code Control #Tableau #Scrum #Alteryx #Databases #BO (Business Objects) #Oracle #Alteryx Designer #GIT #BI (Business Intelligence) #Business Objects #SAP #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #SQL Server #Tableau Desktop #Agile #Project Management #Data Analysis #Datasets #Security #MS SQL (Microsoft SQL Server) #Metadata
Role description
LSE is committed to building a diverse, equitable and truly inclusive university Data and Technology Services Data Analyst (support) Salary from £43,277 to £51,714 pa inclusive with potential to progress to £55,497 pa inclusive of London allowance This is a fixed term appointment for 24 months (possibility to extend subject to funding) The London School of Economics is a cosmopolitan university situated in the vibrant centre of London that specialises in the study of social sciences. LSE’s DTS division provides services to over 10,000 staff and student users. As an experienced Data Analyst, you will take a supporting role on designing, developing and deploying data solutions that can inform improvements in student education and experience . Working as part of the Data and Development Team, you will help to maintain critical datasets and administer usage of data and visualisation tools. You will be involved across all aspects of service delivery including project work and continuous service improvement. You will need broad knowledge and experience working with data, with a focus on identifying, collecting, and preparing data from multiple sources for onwards analysis, visualisation, and presentation. You will have experience of specialist tools such as Alteryx Designer, Tableau Desktop, Business Objects or similar. You will work across a variety of data landscape at LSE, including collaborating with and supporting colleagues across LSE in their own analysis and use of data. You will also have the chance to help shape the implementation of LSE’s data platform using Microsoft Fabric. The Role Will Involve The Following • Working with data visualisation tools to include: • Development of data sources and related metadata • Use of formulae and calculated fields to enhance data • Worksheets and dashboards for interactive analysis • Good proficiency in databases, including Oracle and Ms SQL Server • Working with graphical ETL and data preparation tools to include: • Extraction and blending of data from multiple sources • Transformations, filters, aggregation, sampling • Tests and error handling • Preparation of data for use in other tools • Understand source code control and versioning; be able to effectively use tools such as Git. • Business Intelligence applications/tools administration • Administer Tableau Server Group permissions and capabilities • Manage SAP Business Objects Users, Groups and Folders • Monitor server performance • Update data connections, universe designs and promotion management • Knowledge of Business Objects CMC and IDT modules • Experience of working within a project management methodology e.g. Agile with Scrum. • Knowledge and awareness of cyber security and data protection policies. Candidates Should Have • Practical experience of working with data visualisation tools • Practical experience of working with graphical ETL and data preparation tools We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities. For further information about the post, please see the how to apply document, job description and the person specification. To apply for this post, please go to www.jobs.lse.ac.uk . If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email dts.admin@lse.ac.uk The closing date for receipt of applications is 04 December 2025 (23.59 UK time). Interviews will be held in late January. Regrettably, we are unable to accept any late applications.