Lead analytics engineer

Band 8a · Analytics engineer · 551 job evaluation points

UK GDaD PCF level: Lead analytics engineer

Most often performed at Civil Service grade 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.

Responsibilities

Lead a team that designs, builds, and maintains the organization's analytical data models.
Set standards for data models, tests, documentation, and definitions of measures.
Work with teams across the organization to understand how clinical and operational processes create data.
Review the work of other analytics engineers and improve the team's ways of working.
Line manage analytics engineers.

Skills

Skill	Expected level	What this level means
Communicating between the technical and non-technicalUK GDaD PCF	Practitioner (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	Practitioner (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	Practitioner (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	Practitioner (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	Practitioner (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	Practitioner (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	Practitioner (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	Working (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	Practitioner (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
Understanding health and care servicesThis reference	Practitioner (3)	You can: analyze how a service fits into care pathways across organizations work with clinicians, care staff, and patients to shape digital services explain the effect of digital decisions on care, safety, and staff workload
Information governance and data protectionThis reference	Practitioner (3)	You can: lead data protection impact assessments and information sharing agreements advise teams on lawful basis, consent, confidentiality, and retention investigate incidents and recommend improvements
Data quality managementThis reference	Practitioner (3)	You can: define data quality rules and measures work with data providers to fix the root causes of poor quality
Clinical terminology and classificationThis reference	Practitioner (3)	You can: design data models and reference sets using clinical terminologies map between terminologies and classifications, and explain the limits of a mapping advise teams on terminology use in products and analytics
Pseudonymization and disclosure controlThis reference	Working (2)	You can: work with pseudonymized data and apply disclosure checks before releasing outputs recognize when linked or detailed data could identify a patient
People managementThis reference	Practitioner (3)	You can: line manage a team, setting objectives and running appraisals support wellbeing and manage attendance, performance, and conduct plan the team's development and succession

Typical qualifications and experience

Extensive experience of leading analytics engineering or data modeling.

Band 8a outline

Knowledge: Expert knowledge of a discipline and its management.
Autonomy: Interprets organizational policy for a service; sets the team's direction.
Scope: A service area or a discipline across the organization.
Leadership: Manages a team, or leads a discipline without line management.
Accountability: A service area, its staff, and its budget.

Job evaluation (illustrative)

Factor	Level	Level summary	Points
Communication and relationship skills	5	Gives highly complex or contentious information needing developed persuasion and negotiation, presents to large groups, or communicates where there are significant barriers to acceptance.	45
Knowledge, training, and experience	7	Highly developed specialist knowledge across the range of the specialism (master's level or equivalent).	196
Analytical and judgmental skills	5	Judgments on highly complex facts or situations needing analysis, interpretation, and comparison of options.	60
Planning and organizational skills	4	Plans a broad range of complex activities or strategies, adjusting them as needed.	42
Physical skills	2	Skills gained through practice, such as standard keyboard use or driving.	15
Responsibility for patient and client care	1	Helps patients, clients, or relatives during incidental contact.	4
Responsibility for policy and service development	4	Implements policy and develops policy or services for a service or several areas.	32
Responsibility for financial and physical resources	2	Handles cash or valuables, looks after equipment used by others, controls stock, or authorizes small payments.	12
Responsibility for people	3	Manages a group of staff day to day, teaches core or specialist training, or gives core HR advice.	21
Responsibility for information resources	5	Designs and develops major information systems, or runs information systems for several services as the main duty.	34
Responsibility for research and development	2	Regularly does research, development, trials, or equipment and system testing as part of the job.	12
Freedom to act	5	Works within general policies, and in most cases decides how to interpret them.	45
Physical effort	1	Sitting, standing, and walking, with little physical effort.	3
Mental effort	4	Frequent prolonged concentration, or occasional intense concentration.	18
Emotional effort	1	Rare exposure, or occasional indirect exposure, to distressing circumstances.	5
Working conditions	2	Occasional unpleasant conditions, frequent travel or outdoor work, or near-continuous screen use on most days.	7
Total (Band 8a: 540 to 584)			551