Job summary
The Public Sector Reform Test, Learn and Grow (PSR TL&G) team is at the heart of the UK government?s initiative to drive innovation and reform in public service delivery.
With the £100 million PSR Innovation Fund, our team collaborates with local authorities and government departments across the United Kingdom and with the Devolved Governments to design, test, and grow innovative solutions that enhance public service outcomes.
By employing a ?
Test & Learn? approach, we focus on creating evidence-based improvements while relieving pressures on public services.
Our work involves piloting foundational programmes and place-based initiatives to accelerate mission delivery, support preventative measures, and foster a collaborative environment that encourages continuous improvement and innovation in Public Services.
Job description
As Principal Data Analyst, you will provide line management for data analysts and data governance managers in the TLG programme (six people).
You will provide coaching and professional oversight of data analysis in the TLG programme (including, but not limited to, data collection, governance and visualisation).
You will also be expected to deliver high quality data analysis for the programme, as needed.
You will work closely with the Head of Analysis and Evaluation in the programme to set the strategic analytical direction, build capability, and assure the quality of data use across multidisciplinary teams working on place-based initiatives.
Together with the Head of Analysis and Evaluation, Head of Design and Lead Data Governance Manager, you will determine and implement appropriate standards, processes and structures to ensure data is prepared, managed and used effectively within the programme.
This role is mapped to the Principal Data Analyst role in the Government Digital and Data capability framework, though we would expect candidates to be able to apply their skills to digital and non-digital projects.
This role will require travel within the UK to work closely with local partners.
This role is eligible for a DDaT allowance, the value of which will depend on an assessment of your skills and experience, as demonstrated at interview.
Person specification
You will influence programme decision making on data analysis and the use of data, oversee continuous improvement of the programme?s data practices and management, and represent the data analyst community and the programme externally.
In this role, you will:
- work and provide line management across a multidisciplinary team,
- work closely with the Head of Analysis and Evaluation to set overall analytical direction across the programme,
- provide leadership, coaching, and professional oversight to data analysts and data governance managers across the TLG programme, building capability and setting high quality standards,
- identify and exploit opportunities to leverage data analysis across the whole programme ecosystem,
- assure the quality of data analysis across multiple complex place-based projects and teams,
- produce high quality, advanced data analysis and data visualisation to support the TLG programme, as needed
- work in the open and share often.
Skills and experience
It?s essential that you have experience in:
Leading a high-performing analysis team:
create and maintain a psychologically safe and inclusive team culture
support the professional development of others
Applying statistical and analytical tools and techniques:
develop and guide others in a range of statistical and analytical techniques and tools (including how to bring quantitative analysis into mixed methods research)
oversee the quality assurance of statistical techniques and analytical outputs, continually improving and innovating practices
Communicating between the technical and non-technical:
communicate complex data analysis clear to a non-technical audience
manage stakeholder expectations and moderate difficult discussions about high risk and complex topics, even within constrained timescales
Data management:
champion and lead data management and governance processes within the programme
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
Data preparation and linkage:
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 programme, and ensure stakeholders understand their importance
mentor and coach others in data quality and modelling
Data visualisation:
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 in the programme
strategically support stakeholders in understanding and using a story
It?s desirable that you have:
- Predictive modelling and forecasting
- experience using historical data, machine learning, and statistical algorithms to forecast/predict behaviours or trends
Additional information:
Cabinet Office policy is that a minimum 60% of your working time should be spent at your principal workplace.
For some roles, due to their nature and the business need, this may be up to 100%.
Requirements to attend other locations for official business will also count towards this level of attendance.
Behaviours
We'll assess you against these behaviours during the selection process:
Leadership
Making Effective Decisions
Delivering at Pace
Technical skills
We'll assess you against these technical skills during the selection process:
Applying statistical and analytical tools and techniques
Communicating between the technical and non-technical
Data management
Benefits
Alongside your salary of £71,734, Cabinet Office contributes £20,781 towards you being a member of the Civil Service Defined Benefit Pension scheme.
Find out what benefits a Civil Service Pension provides .
Learning and development tailored to your role.
An environment with flexible working options.
A culture encouraging inclusion and diversity.
A Civil Service Pension which provides an attractive pension, benefits for dependants and employer contributions of 28.97%.
A minimum of 25 days of paid annual leave, increasing by one day per year up to a maximum of 30.
Things you need to know
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience.
Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action.
Selection process details
This vacancy is using Success Profiles , and will assess your Behaviours, Experience and Technical skills.
Application process
As part of the application process you will be asked to submit a CV and 750 word personal statement, outlining suitability based on the essential skills and experience listed in the job advert.
Security clearance: BPSS required.
Expected timeline (subject to change)
Expected sift date ? early to mid November
Expected interview date/s ? mid to late November
Interview location - Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview.
Reasonable adjustments
If a person with disabilities is put at a substantial disadvantage compared to a non-disabled person, we have a duty to make reasonable changes to our processes.
Further information
A reserve list may be held for a period of 12 months from which further appointments can be made.
Nationality requirements
This job is broadly open to the following groups:
UK nationals
nationals of the Republic of Ireland
nationals of Commonwealth countries who have the right to work in the UK
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
Working for the Civil Service
The Civil Service Code sets out the standards of behaviour expected of civil servants.
Diversity and Inclusion
The Civil Service is committed to attract, retain and invest in talent wherever it is found.