시니어 데이터 분석가

You can:

• lead the development of valuable statistical insights and reports
• identify and apply a range of statistical and analytical techniques and tools, and support others in applying them
• quality assure statistical techniques and analytical outputs across a team
• engage with stakeholders and share statistical and analytical techniques to increase understanding and trust

You can:

• listen to and interpret the needs of technical and non-technical stakeholders, and manage their expectations
• manage active and reactive communication
• support or host difficult discussions within the team or with diverse senior stakeholders

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:

• advocate for effective data governance and data management policies and guidelines within your team and across your organisation
• monitor and improve data management practices in your team
• help define, develop and support the use of data management tools, procedures and methods in compliance with data governance policies

You can:

• plan the framework of an analytical data model based on appropriate data sources
• support the implementation of data models using appropriate tools and systems
• ensure your team understands the importance of data quality and modelling

You can:

• use a range of data visualisations to simplify a complex story
• adapt a story to the needs of multidisciplinary stakeholders
• advise and support others in developing inclusive, accessible data visualisations that recognise different user needs
• suggest improvements to data visualisation processes and standards to increase efficiency and quality

You can:

• lead and support others in using data to deliver business impact
• define and communicate the scope of the business impact you deliver so the value is clear
• identify opportunities to develop data products that deliver business impact
• develop and deliver scalable data products that align to organisational priorities and enable decision making

You can:

• design and implement the analytical approach, including code, using appropriate standards and tests
• lead collaboration to review and improve analytical approaches, including shared code
• guide others in producing analytical approach documentation, identifying improvements

You can:

• identify and define a problem statement
• apply and share project management methodologies, including tools and techniques
• plan and implement different stages of the data project life cycle
• communicate progress of data projects with stakeholders
• adapt teams' ways of working to deliver different project outcomes and requirements

할 수 있는 일:

• 서비스가 조직 간 돌봄 경로에 어떻게 들어맞는지 분석한다
• 임상의, 돌봄 직원, 환자와 협력하여 디지털 서비스를 형성한다
• 디지털 결정이 돌봄, 안전, 직원 업무량에 미치는 영향을 설명한다

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:

• 데이터 품질 규칙과 지표를 정의한다
• 데이터 제공처와 협력해 품질 저하의 근본 원인을 수정한다

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:

• 데이터 항목이나 양식에 맞는 코드를 찾아 사용한다
• 용어 브라우저와 참조 세트를 사용한다

할 수 있는 일:

• 다른 사람을 배제하는 행동을 알아보고 이의를 제기한다
• 업무를 계획할 때 다양한 필요를 고려한다