You have knowledge of explicative statistical skills.
NCF Category: Data Analysis
Context (DAC1.3) (Level Five)
You can apply innovative approaches to resolve business and team issues.
Data interpretation (DAC1.2) (Level Five)
You guide colleagues to create and interpret strategic insights.
Data transformation (Data Analysis) (DAC1.1) (Level Five)
You can apply innovative approaches to resolve business and team issues.
Data risk (DAc2.8) (Level Three)
Professional networking (Data Analysis) (DAC6.5) (Level One) Copy
You present an openness and willingness to learn from those around you and seek out opportunities to do so.
Professional networking (Data Analysis) (DAC6.5) (Level One)
You present an openness and willingness to learn from those around you and seek out opportunities to do so.
Professional standards (DAC6.4)(Level One)
You are able to demonstrate mindfulness of other people’s pressures and priorities.
Professional values (DAC6.3)(Level One)
You strive to demonstrate professional values at all times.
Development opportunities (Data Analyst) (DAC6.2)(Level One)
You build instructions into working on your own initiative whilst confirming changes with senior colleagues.
Professional development (Data Analyst) (DAC6.1)(Level One)
You actively engage with members of the department in an enthusiastic but patient manner.
Shaping communication (DAC5.2)(Level One)
You can define the context for your findings and can give appropriate recommendations.
Appropriate media (DAC5.1) (Level One)
You understand the appropriate media to communicate findings and you shape communications relevant to the audience and their needs.
Underlying questions (DAC 4.2) (Level One)
You are able to work with the requestor of the analysis to understand the underlying question and explain it to colleagues.
Problem analysis (DAC 4.1) (Level One) Copy
You are able to identify sources of information to help you complete assigned projects whilst using your own initiative to show the most efficient way to complete daily tasks.
Problem analysis (DAC 4.1) (Level One)
You are able to identify sources of information to help you complete assigned projects whilst using your own initiative to show the most efficient way to complete daily tasks.
Solving business issues (DAC 3.4) (Level One)
You show aptitude and willingness to learn further.
Statistical practices (DAC 3.3) (Level One)
You are comfortable conducting simple analyses using descriptive statistics.
Analytical tools (DAC 3.2) (Level One)
You have a functional knowledge of relevant tools, applications and systems used in your organisation.
Analytical techniques (DAC 3.1) (Level One)
You are numerate and computer literate.
Data governance (Data Analyst) (DAC 2.9)(Level One)
You are aware of the stringent data governance requirements in healthcare environments and follow all data security procedures as directed locally and nationally.
Data risk (DAc2.8)(Level One)
You can follow and contribute to practices and procedures describing the production of regular analyses and reports.
Alignment (DAC2.7)(Level One)
You understand how to plot data visually to display snapshots, time series and variance.
Data security (DAC 2.6)(Level One)
You understand how to summarise data and can explain what the different measures mean.
Data models (DAC2.5)(Level One)
You perform data extraction and manipulation.
Analysis standards (DAC2.4)(Level One)
You approach data and analysis with curiosity and ask questions of the data and its context.
Data cleansing (DAC2.3) (Level One)
You understand whether data is ‘fit for purpose’ and can sense check data and analysis.
Data quality (Data Analysis) (DAC2.2) (Level One)
You recognize basic issues of data quality and can take action with guidance to prevent or counteract them.
Data lifecycle (DAC2.1) (Level One)
You understand the data sources for your work; their types, provenance, context, storage and ‘owners’.
Performance measures (DAC1.4)(Level One)
You understand the importance of performance measurement to the business and its objectives.
Context (DAC1.3)(Level One)
You can recognise patterns, outliers, data quality issues and whether data and analysis agree with established practice and expectations.
Data interpretation (DAC1.2) (Level One)
You question the data and your own analysis.
Data transformation (Data Analysis) (DAC1.1)
You apply basic techniques to transform data into information for your audience.