示例 面向通用数字医疗卫生组织的参考档案,并非正式的职位说明。 关于本参考资料。

首席分析工程师

第 8a 职级 · 分析工程师 · 551 岗位评估分

本文由人工智能助手从英文翻译而来,尚未经过母语人士审校。引自英国政府数字与数据专业能力框架(UK GDaD PCF)和 ESCO 的内容保留英文原文。

UK GDaD PCF 级别:Lead analytics engineer

最常对应的英国公务员职等:G7。

A lead analytics engineer leads the design and deployment of data models for analysis.

At this role level, you will:

  • lead and support a team of analytics engineers to design, build and maintain data models
  • work with stakeholders and teams across the organisation to understand relationships between data and organisational processes, and use this to define data requirements
  • promote, build awareness and support understanding of analytics engineering
  • review the work of other analytics engineers
  • create standards for communication, data models and documentation
  • define and improve ways of working in the team
Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

职责

技能

技能期望等级该等级的含义
Communicating between the technical and non-technicalUK GDaD PCF熟练 (3)

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
Data analysis and synthesisUK GDaD PCF熟练 (3)

You can:

  • understand and help teams to apply a range of techniques for data profiling
  • source system analysis from a complex single source
  • bring multiple data sources together in a conformed model for analysis
Data innovationUK GDaD PCF熟练 (3)

You can:

  • test and evaluate the feasibility of unfamiliar and emerging technologies, or familiar technologies in new data contexts
  • share what you learn with the organisation, explaining potential benefits, risks, and practical considerations
  • recommend, design and implement innovative data solutions based on organisation objectives, user needs, and operational constraints
Data modelling, cleansing and enrichmentUK GDaD PCF熟练 (3)

You can:

  • build and review complex data models, ensuring adherence to standards
  • use data integration tools and languages to integrate and store data, and advise teams on best practice
  • ensure data for analysis meets data quality standards and is interoperable with other data sets, enabling reuse
  • work with other data professionals to improve modelling and integration patterns and standards
Metadata managementUK GDaD PCF熟练 (3)

You can:

  • design an appropriate metadata repository
  • suggest changes to improve current metadata repositories
  • understand a range of tools for storing and working with metadata
  • advise less experienced members of the team about metadata management
Problem managementUK GDaD PCF熟练 (3)

You can:

  • ensure that the right actions are taken to investigate, resolve and anticipate problems
  • co-ordinate the team to investigate problems, implement solutions and take preventive measures
Programming and build (data and analytics engineering)UK GDaD PCF熟练 (3)

You can:

  • lead the design, code, testing and deployment of secure, resilient and maintainable solutions
  • continuously improve the codebase and reliability of solutions
  • create automation to improve the software development life cycle
  • work with others to implement standards and good practice to ensure security, testability and maintainability of solutions
TestingUK GDaD PCF胜任 (2)

You can:

  • review requirements and specifications, and define test conditions
  • identify issues and risks associated with work
  • analyse and report test activities and results
Turning business problems into data designUK GDaD PCF熟练 (3)

You can:

  • design data architecture that deals with problems spanning different business areas
  • identify links between problems to devise common solutions
  • work across multiple subject areas, or a single large or complicated subject area
  • produce appropriate patterns
了解医疗卫生和照护服务本参考资料熟练 (3)

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
信息治理与数据保护本参考资料熟练 (3)

您可以:

  • 领导数据保护影响评估和信息共享协议
  • 就合法依据、同意、保密和保存向团队提供建议
  • 调查事件并提出改进建议
数据质量管理本参考资料熟练 (3)

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
临床术语与分类本参考资料熟练 (3)

您可以:

  • 使用临床术语设计数据模型和参考集
  • 在术语和分类之间进行映射,并解释映射的局限
  • 就产品和分析中的术语使用向团队提供建议
假名化与披露控制本参考资料胜任 (2)

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
人员管理本参考资料熟练 (3)

您可以:

  • 直线管理一个团队,设定目标并开展考评
  • 关注身心健康,管理出勤、绩效和行为
  • 规划团队的发展和继任

典型资质与经验

第 8a 职级概要

知识
对一门学科及其管理有专家级知识。
自主性
为一项服务解读组织政策;确定团队方向。
范围
一个服务领域,或整个组织中的一门学科。
领导力
管理一个团队,或在没有直线管理职责的情况下领导一门学科。
问责
一个服务领域及其员工和预算。

岗位评估(示例)

因素等级等级概述分数
沟通与人际关系技能5传递需要成熟说服和谈判技能的高度复杂或有争议的信息,向大型群体演讲,或在接受方面存在重大障碍时进行沟通。45
知识、培训和经验7覆盖整个专业领域的高度发达的专门知识(硕士水平或同等)。196
分析与判断技能5对需要分析、解读和比较方案的高度复杂事实或情况作出判断。60
规划与组织技能4规划范围广泛的复杂活动或战略,并根据需要进行调整。42
身体技能2通过练习获得的技能,例如标准键盘操作或驾驶。15
对患者和服务对象照护的责任1在偶然接触中帮助患者、服务对象或亲属。4
政策与服务发展的责任4实施政策,并为一项服务或多个领域制定政策或服务。32
对财务和实物资源的责任2经手现金或贵重物品,保管他人使用的设备,管理库存,或批准小额付款。12
对人员的责任3日常管理一组员工,讲授核心或专门培训,或提供核心人力资源建议。21
对信息资源的责任5设计和开发主要信息系统,或以运行多项服务的信息系统为主要职责。34
对研究与开发的责任2作为工作的一部分,定期开展研究、开发、试验或设备与系统测试。12
行动自由度5在一般政策范围内工作,并在大多数情况下自行决定如何解读。45
体力消耗1坐、站和行走,体力消耗很少。3
脑力消耗4经常长时间专注,或偶尔高度专注。18
情绪消耗1很少接触,或偶尔间接接触令人痛苦的情况。5
工作条件2偶尔接触不良条件,经常出差或户外工作,或大多数日子几乎持续使用屏幕。7
总计(第 8a 职级:540 至 584)551

自我评估

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已评 15 项技能中的 0 项:0 项达到期望等级,0 项低于,0 项高于。

Communicating between the technical and non-technical 期望:熟练
Data analysis and synthesis 期望:熟练
Data innovation 期望:熟练
Data modelling, cleansing and enrichment 期望:熟练
Metadata management 期望:熟练
Problem management 期望:熟练
Programming and build (data and analytics engineering) 期望:熟练
Testing 期望:胜任
Turning business problems into data design 期望:熟练
了解医疗卫生和照护服务 期望:熟练
信息治理与数据保护 期望:熟练
数据质量管理 期望:熟练
临床术语与分类 期望:熟练
假名化与披露控制 期望:胜任
人员管理 期望:熟练
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