Illustrative Reference profiles for a generic digital health care organisation, not official job descriptions. About this reference.

Associate data analyst

Band 5 · Data analyst · 335 job evaluation points

UK GDaD PCF level: Associate data analyst

Most often performed at Civil Service grade EO or HEO.

An associate data analyst supports data analysis activities and projects. They develop their skills in data analysis by working closely with other data professionals.

At this role level, you will:

  • support the development and delivery of data analysis and data projects
  • develop analytical approaches and data visualisations, under supervision
  • work with others to understand roles within a multi-disciplinary team and how data analysts work with them
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.

Responsibilities

Skills

SkillExpected levelWhat this level means
Applying statistical and analytical tools and techniquesUK GDaD PCFAwareness (1)

You can:

  • support the development of statistical and analytical insights and reports under supervision
  • explain the benefits of basic statistical and analytical techniques
  • explain the value of quality assurance and best practices in developing statistical and analytical outputs
Communicating between the technical and non-technicalUK GDaD PCFAwareness (1)

You can:

  • explain why it's important to communicate technical concepts in non-technical language
  • explain the types of communication that can be used with internal and external stakeholders, and their impact
Data ethics and privacyUK GDaD PCFAwareness (1)

You can:

  • explain the importance of using data ethics and privacy in your work
  • identify appropriate channels to discuss ethical issues, with support
Data managementUK GDaD PCFAwareness (1)

You can:

  • explain the importance of data governance policies
  • explain how data management tools, procedures and methods relate to a specific project
Data preparation and linkageUK GDaD PCFAwareness (1)

You can:

  • explain the importance of data models and their uses
  • identify appropriate channels in your organisation to learn about data modelling and quality standards
  • identify data quality issues and provide possible solutions to resolve them
  • prepare and cleanse data under supervision, contributing to making it fit for purpose
Data visualisationUK GDaD PCFAwareness (1)

You can:

  • develop and use an appropriate data visualisation under supervision to tell a meaningful story that is relevant to set goals
  • explain the value of sharing a story effectively
  • explain why it's important to develop inclusive, accessible data visualisations that recognise different user needs
Delivering business impact through dataUK GDaD PCFAwareness (1)

You can:

  • explain why it's important to understand the organisation's priorities
  • contribute to the development of data products to deliver business impact
  • explain how to align data and analysis to meet business requirements
Developing code for analysisUK GDaD PCFAwareness (1)

You can:

  • explain the importance of coding for analysis
  • explain the value of maintaining analytical approach documentation
  • design an analytical approach with support, for example, writing simple code
Managing a data projectUK GDaD PCFAwareness (1)

You can:

  • understand a problem statement and explain the intended outcome of a data project
  • explain the importance of data in solving a problem
  • explain why it's important to adapt your ways of working to deliver different project outcomes and requirements
Understanding health and care servicesThis referenceAwareness (1)

You can:

  • describe the main parts of the health and care system and the services the organisation supports
  • explain why patient safety and confidentiality matter in your work
Information governance and data protectionThis referenceWorking (2)

You can:

  • apply data protection principles to your work
  • contribute to data protection impact assessments
  • handle information requests and records correctly
Data quality managementThis referenceWorking (2)

You can:

  • run data quality checks and correct errors
  • explain data quality reports to colleagues
Pseudonymisation and disclosure controlThis referenceAwareness (1)

You can:

  • explain the difference between identifiable, pseudonymised, and anonymised data
  • follow the organisation's rules for suppressing small numbers in outputs
Clinical terminology and classificationThis referenceAwareness (1)

You can:

  • explain the difference between a clinical terminology and a classification
  • recognise common terminologies such as SNOMED CT and ICD

Typical qualifications and experience

Band 5 outline

Knowledge
Professional or technical knowledge, typically from a degree or equivalent experience.
Autonomy
Works to broad objectives within professional standards; plans own work.
Scope
Own professional work within a team or product.
Leadership
May guide and check the work of support staff and apprentices.
Accountability
Quality of own professional work.

Job evaluation (illustrative)

FactorLevelLevel summaryPoints
Communication and relationship skills4Gives complex, sensitive, or contentious information needing persuasion, negotiation, or training skills, or highly complex information.32
Knowledge, training, and experience5Expertise in a specialism, underpinned by theory or practical experience (degree level or equivalent).120
Analytical and judgemental skills3Judgements on a range of facts or situations needing analysis or comparison of options.27
Planning and organisational skills2Plans straightforward tasks or activities, some ongoing.15
Physical skills3Developed skills needing speed or accuracy, such as advanced keyboard use.27
Responsibility for patient and client care1Helps patients, clients, or relatives during incidental contact.4
Responsibility for policy and service development2Implements policies for own area and proposes changes to its practices.12
Responsibility for financial and physical resources1Takes personal care of equipment and resources used in own work.5
Responsibility for people1Shows own work routines to new or less experienced colleagues.5
Responsibility for information resources4Adapts or designs information systems to others' specifications, or runs information systems for a department as the main duty.24
Responsibility for research and development2Regularly does research, development, trials, or equipment and system testing as part of the job.12
Freedom to act3Follows defined policies and procedures; work is managed rather than supervised.21
Physical effort2Frequent sitting or standing in a restricted position, or occasional light to moderate effort.7
Mental effort3Frequent concentration on unpredictable work, or occasional prolonged concentration.12
Emotional effort1Rare exposure, or occasional indirect exposure, to distressing circumstances.5
Working conditions2Occasional unpleasant conditions, frequent travel or outdoor work, or near-continuous screen use on most days.7
Total (Band 5: 326 to 395)335

Self assessment

Rate what you do regularly now, add a short example as evidence, and plan an action for your most important gaps. Your answers are saved in this browser only.

Rated 0 of 14 skills: 0 meet the expected level, 0 below, 0 above.

Applying statistical and analytical tools and techniques Expected: Awareness
Communicating between the technical and non-technical Expected: Awareness
Data ethics and privacy Expected: Awareness
Data management Expected: Awareness
Data preparation and linkage Expected: Awareness
Data visualisation Expected: Awareness
Delivering business impact through data Expected: Awareness
Developing code for analysis Expected: Awareness
Managing a data project Expected: Awareness
Understanding health and care services Expected: Awareness
Information governance and data protection Expected: Working
Data quality management Expected: Working
Pseudonymisation and disclosure control Expected: Awareness
Clinical terminology and classification Expected: Awareness
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