프린시펄 데이터 분석가

You can:

• identify opportunities to develop statistical insights and reports that support organisational objectives
• develop and guide others in a range of statistical and analytical techniques and tools
• oversee the quality assurance of statistical techniques and analytical outputs, continually improving and innovating practices
• use statistical and analytical outputs to influence stakeholders across the organisation and beyond

You can:

• mediate between people and strengthen relationships, adopting the appropriate communication method with stakeholders at all levels
• manage stakeholder expectations and moderate difficult discussions about high risk and complex topics, even within constrained timescales
• speak on behalf of, and represent the community to, large audiences inside and outside the organisation

You can:

• work with stakeholders to identify and address ethical and privacy concerns
• demonstrate and communicate how data ethical issues fit into the wider organisational context
• research developments in data ethics and privacy to improve compliance and processes
• assess and constructively challenge proposed data ethics policies

You can:

• champion and lead data management and governance processes within your team and across your organisation
• define and lead on the implementation of data management responsibilities
• define data management tools and develop training requirements to implement data governance processes effectively
• enable continuous improvement of data management practices and compliance with data governance policies

You can:

• develop analytical data models using a deep understanding of data sources
• ensure data models are implemented using tools and systems that align with modelling standards
• set data quality standards in the organisation or beyond, and ensure stakeholders understand their importance
• mentor others in data quality and modelling

You can:

• translate business requirements into goals for data visualisations
• set and advocate for new standards and practices in inclusive, accessible data visualisation
• identify data visualisation capability gaps and implement appropriate training
• promote the value and adoption of data visualisations across the organisation
• strategically support stakeholders in understanding and using a story

You can:

• champion the role of data across the organisation
• strategically communicate the business impact of data across the organisation
• lead others in delivering, and identifying opportunities to deliver, scalable data products that align to organisational objectives
• partner with others, including other professions, to decide when to pivot to deliver business impact

You can:

• oversee and promote the implementation of coding standards and practices on existing and new analytical outcomes, products and services
• contribute to coding standards across the organisation
• ensure reproducibility of code and code documentation across the organisation

You can:

• advise on problem statement development, ensuring standards are met
• oversee and advise on the planning and implementation of the project life cycle on varied data projects
• share good practice in adapting teams' ways of working to deliver project outcomes
• lead and develop stakeholder relationships for your team's data projects

할 수 있는 일:

• 보건·돌봄 시스템에 대한 깊은 이해를 바탕으로 조직 전략을 형성한다
• 보건·돌봄 파트너와 리더에게 조직을 대표한다
• 정책과 서비스 변화가 디지털 서비스와 돌봄에 어떤 영향을 줄지 예측한다

할 수 있는 일:

• 개인정보 영향평가와 정보 공유 협약을 이끈다
• 적법한 근거, 동의, 비밀 유지, 보존에 대해 팀에 조언한다
• 인시던트를 조사하고 개선을 권고한다

할 수 있는 일:

• 조직과 그 파트너의 데이터 품질 기준을 정한다
• 데이터 품질 개선 프로그램을 이끈다

할 수 있는 일:

• 식별자를 분석 데이터와 분리해 두는 가명처리와 연결 방법을 설계한다
• 데이터 세트나 공표물의 재식별 위험을 평가하고 적절한 통제를 선택한다
• 신뢰할 수 있는 연구 환경 같은 안전한 환경에 대해 팀에 조언한다

할 수 있는 일:

• 임상 용어 체계를 사용하여 데이터 모델과 참조 세트를 설계한다
• 용어 체계와 분류 사이를 매핑하고 매핑의 한계를 설명한다
• 프로덕트와 분석에서의 용어 사용에 대해 팀에 조언한다

할 수 있는 일:

• 목표를 설정하고 평가를 하며 팀을 직접 관리한다
• 웰빙을 지원하고 근태, 실적, 행위를 관리한다
• 팀의 육성과 승계를 계획한다