高级绩效分析师

You can:

• understand and help teams to apply a range of techniques to analyse data and provide insight
• be proactive and present compelling findings that inform wider decisions
• apply innovative approaches to resolve problems

You can:

• turn complex data into compelling, clear and actionable stories
• share data communication skills with the team and across government
• present analysis and visualisations in clear ways to communicate complex messages
• communicate negative and positive information to stakeholders
• give tactical and strategic recommendations

You can:

• lead the development of performance measurement frameworks including Key Performance Indicators (KPIs)
• demonstrate a deep understanding of business goals and can turn these into tangible performance measures

You can:

• set up a system to get data ready for use
• specify how data should be cleansed and prepared
• bring data together from different sources
• communicate the limitations of data

You can:

• show a deep understanding of the technical concepts required for the role and understand how they fit into the wider technical landscape
• understand the limitations of digital technology

You can:

• apply experience in multiple parts of the product life cycle
• recognise when to move forward and when to stop
• recognise the appropriate deliverables and engage the right people to meet them
• work with other Agile delivery disciplines throughout the product life cycle
• plan and proactively engage with stakeholders at the appropriate stage of the project
• identify which tools and techniques should be used at each stage

You can:

• understand the difference between user needs and desires of the user
• demonstrate experience in meeting user needs across a variety of channels
• integrate digital analytics with qualitative data, such as user surveys and user research, to develop hypotheses for testing
• offer recommendations on the best tools and methods to use

You can:

• work with and challenge senior stakeholders
• prioritise and mitigate constraints and can turn them into an advantage
• adapt the approach according to constraints
• demonstrate a good knowledge of security and data privacy

您可以：

• 分析一项服务如何融入跨组织的照护路径
• 与临床医生、照护人员和患者合作塑造数字服务
• 解释数字决策对照护、安全和员工工作量的影响

您可以：

• 在工作中应用数据保护原则
• 为数据保护影响评估作出贡献
• 正确处理信息请求和记录

您可以：

• 定义数据质量规则和衡量指标
• 与数据提供方合作，从根本上解决质量问题

您可以：

• 使用假名化数据，并在发布输出前进行披露检查
• 识别关联数据或详细数据何时可能识别出某位患者

您可以：

• 识别并制止排斥他人的行为
• 在规划工作时考虑不同的需求