- Qualification in a discipline relevant to data analysis or equivalent demonstrable work experience.
- Skills in using statistical analysis techniques to draw impactful conclusions from complex data sets.
- Skills in data visualisation with the ability to tailor the communication of your findings to different audiences, using tools such as Power BI or ArcGIS.
- Experience of using software packages or coding languages to efficiently process data and produce shareable outputs (R Studio, SQL, Python etc.).
- Experience of preparing briefings, reports and other creative assets to support the sharing and mobilisation of data insights.
- Experience of providing advice and guidance on how to use data insights to team members and other internal colleagues.
- Experience of analysing and appraising data to inform policy and/or strategic decision making.
- Experience in using project and stakeholder management skills to deliver and monitor projects of work that require internal and external collaboration.
- Be a true team player, supporting colleagues and knowing when to ask for help.
- Be eager and able to work at a pace in a complex environment.
- Be independently minded and a critical thinker; curious and constantly questioning the status quo.
- Be an exceptional communicator, passionate about sharing best practices, insights and feedback effectively.
- For this application, we strongly recommend including a supporting statement letting us know how you meet the essential criteria and why you are motivated for this role.
- Informing data advocacy, helping us demonstrate a case for change around the need for improvements in dementia data, by building a deep understanding of the quality and quantity of health-related dementia data.
- Supporting the development and implementation of a strategic approach that enables the use of dementia specific and other relevant data in our strategic evidence base.
- Combining datasets from various sources externally, generating actionable insights on the scale and impact of dementia that are understandable and impactful for different audiences and purposes.
- Creating engaging content for internal and external use, using appropriate data visualisations to present data in engaging and easily interpretable ways for non-data professionals.
- Supporting the development and management of a more robust single point of truth to ensure correct usage and communication of data and statistics internally and externally.