IT & Software

Data Analyst

University College London

London · Greater London · United Kingdom

Overview

As a Data Analyst in the Planning, Insight and Improvement team, you will transform complex data into actionable insights to support strategic and operational decisions across UCL’s research activities. You’ll work with colleagues across RIS to identify trends, drive improvements, and contribute to service planning and performance monitoring. The role emphasizes data governance, reporting, and effective visualization to inform outcomes in funding, contracts, compliance, and finance. You will collaborate with stakeholders and contribute to UCL’s Data & Insight Community of Practice to build analytical capability.

Pay / Benefits
  • 41 days holiday (including 27 days annual leave, 8 bank holidays, 6 closure days)
  • Defined benefit CARE pension scheme
  • Cycle to work scheme and season ticket loan
  • On-site nursery
  • On-site gym
  • Enhanced maternity/paternity/adoption pay","Employee assistance programme: Staff Support Service","Discounted medical insurance
Responsibilities
  • Extract, transform and validate data from multiple systems
  • Develop and maintain dashboards and management information reports
  • Analyse performance across research funding, contracts, compliance and financial activities
  • Engage with stakeholders to capture reporting requirements and improve data quality
  • Develop data visualization and reporting approaches for governance and decision-making
  • Contribute to the Data & Insight Community of Practice and support analytical capability development across the institution
Key requirements
  • Degree or equivalent professional experience with a strong mathematical or statistical component
  • Knowledge of data management and processing using SQL, Snowflake, SAS or equivalent technologies
  • Experience designing and developing dashboards, reporting tools and performance metrics
  • Knowledge of R or Python for analytics, NLP and data quality
  • Proficiency in data visualization and BI tools such as Power BI, Tableau or similar
  • Strong analytical skills, including statistical methods, exploratory data analysis and data validation
  • Excellent communication and stakeholder engagement skills
  • Experience in higher education or research support environments and project management is advantageous
  • analytical mindset
  • collaborative
  • clear communication
  • SQL
  • Snowflake
  • SAS

Reference: WJ-747_31160138

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