Data and Insight - grade 8
Example job roles: Senior Level Analysis, Management, Head of Functional area
Level: Advanced
Experiences
Activities and responsibilities likely to be required when working at this level
- Planning, leading and delivering complex institutional data projects.
- Deep knowledge of a data domain and understanding of how it fits with other domains.
- Leading and developing a team.
- Producing data and insight reports used by senior management across UCL.
- Working with senior staff and stakeholders to understand business requirements for data analysis.
- Using data analysis to inform team strategy.
- Supporting others to deliver data science, collection and analysis projects.
- Taking responsibility for data governance and the data literacy of your team.
- Understanding the HE data domain and its limitations.
- Presenting data visualisation and reports to senior leadership.
- Creating good interpersonal relationships both within teams and with those you do not line manage.
- Recognising future opportunities and threats and leveraging people and technology to deliver timely data solutions.
- Understanding, embedding and influencing others on the importance of data governance, data protection, and good data-quality.
Personal and professional development
Development options to consider when working towards this level
Learning on the job
- Developing advanced skills in Excel and/or other tools e.g. SQL, or coding languages.
- Developing predictive analytical skills.
- Start thinking about an area of specialism; project management, more advanced data literacy.
Learning from others
- Presenting data concepts to large audiences.
- Leading a large Community of Practice (CoP) project.
- Attending relevant conferences.
- Mentoring data professionals.
Formal learning
- Training in the areas of; data science, statistics, Tableau, data visualisation, coding languages or Alteryx, data engineering, project management, data governance.
* You may wish to explore the listed formal training themes / topics on LinkedIn Learning.
Transferable skills and competencies
UCL uses the Universal Competency Framework (UCF) to discuss transferable skills. Find out more details on the framework.
Planning and organising
- Setting objectives.
- Planning.
- Managing time.
- Managing resources.
- Monitoring progress.
Learning and researching
- Applying expertise and technology
Applying technical expertise.
Building technical expertise.
Sharing expertise.
Using technology resources.
Demonstrating physical and manual skills.
Demonstrating cross-functional awareness.
Demonstrating spatial awareness.
Developing results and setting customer expectations
- Focusing on customer needs and satisfaction.
- Setting high standards for quality.
- Monitoring and maintaining quality.
- Working systematically.
- Managing quality processes.
- Maintaining productivity levels.
- Driving projects to success.
UCL Ways of Working
These describe expected behaviours in line with UCL culture and values. For Ways of Working indicators and steps to development please refer to the Ways of Working website.
“Career Pathway roles are indicative and are not intended to be a description of the role in terms of responsibilty and duties.
Print versions
Career case studies
Progression can lead to this type of Data and Insight role.
Rebecca Allen
Head of Data & Insight Service
UCL Planning Division
Sam-Aaron Butler
Data and Insight Analyst
UCL Planning Division
Si Ning Yeoh
Research Data Analyst
IOE Research Development Team