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As an SEO Senior Executive Analyst, you'll work closely with leaders at all levels of the organisation to develop robust management information systems and deliver impactful analysis. You'll use a range of analytical techniques to turn complex data into meaningful insight, ensuring it is clearly communicated to both analytical and non‑analytical audiences. Alongside this, you'll help shape analytical best practice and contribute to the development of a skilled and confident analytical team.
Work with the G7 Team Lead and other sub‑team leads to build and enhance analytical capability, including:
Act as the senior analyst on complex analytical work, including:
Contribute to the development of a highly skilled analytical sub‑team, including:
This role offers the opportunity to work within a strong analytical and modelling function, with a clear focus on improving how data is used to drive continuous improvement. Supported by an engaged and collaborative senior leadership team, you'll use your expertise to develop high‑quality management information systems and deliver insight that makes a real impact. You'll work on high‑profile priorities, maximise the value delivered by your sub‑team and collaborate closely with other analytical teams across the organisation.
We are committed to supporting flexible ways of working and welcome applications from people who require flexibility.
Attendance at meetings and events across the HM Land Registry estate, and occasionally at external locations, will form part of this role. This may include occasional overnight stays and will be in line with government guidance. You will need to be flexible in your approach to working hours to meet business requirements.
To be successful in this role, you must demonstrate the criteria outlined below throughout the recruitment process.
One or more of:
• Relevant skills, knowledge, and application of Operational Research (OR), data science or data analysis techniques;
• Qualifications to allow 'badging' to join GORS (Government Operational Research Service) in an analytical profession. Qualifications are a 2:1 in a numerate subject, and substantial experience of applying operational research or for Government Statistical Service (GSS), a 2:1 in a numerate subject and substantial experience of applying statistics; for Government Digital Service (GDS), a 2:1 in a numerate subject and substantial experience of data science.
This should include:
a) Experience of developing MI reports and/or analytical insight including use of spreadsheets or other analytical software
b) Either
1.Experience of using complex data to build dashboards in Power BI alongside an understanding of coding and databases (one or more of: SQL, R, Python)
or
2.Experience of statistical analysis
c) Knowledge of specific analytical and problem-solving techniques
d) Evidence of at least one high profile analytical project you have managed
We welcome applications from those people who are already badged within the GORS community.
Where an individual taking up the responsibility will be based in Swansea Office, the ability to speak Welsh is desirable. This will not be tested in the application or interview process.
HMLR expect everyone to spend at least 60% of their working time in the office.
Please see the attached job description and candidate pack for further information.
We'll assess you against these behaviours during the selection process:
We'll assess you against these technical skills during the selection process:
#WeAreHMLR
At HM Land Registry our vision is a world leading property market as part of a thriving economy and a sustainable future. We are unique in terms of the economic and social impacts of our work, our ability to make a positive difference to the lives of our customers, our sense of mission, and our great people. They are the foundation of all we have achieved and all we aspire to in the future. We want our people to feel proud to work for HM Land Registry and able to fulfil their full potential.
We have a strong and positive culture, a commitment to inclusivity, an emphasis on continuous learning and development, and flexible ways of working. We offer competitive pay and annual leave, attractive pension options and a wide range of other benefits.
You can find more information on our rewards package on our website.
Please complete the first stage of the online application form and the complete the Civil Service Numerical test. If you pass the Numerical test, you will then be invited to complete the Civil Service Verbal Test. If you pass the Verbal test, you will then be invited to complete the full online application form, in which you will need to complete a CV, Technical Statement and Personal Statement.
The closing date for the test and full application form is 11:55pm on 26th October 2026. You must ensure you build in sufficient time to complete the full application form if you pass the online test. It is recommended that you complete the practice test first. For more information about preparing for the Civil Service Numerical and Verbal test and access to the practice test, please follow this link:
Please complete your CV to include your work history and qualifications. We will be scoring your CV against the following essential technical and experience criteria:
This should include:
a) Experience of developing MI reports and/or analytical insight including use of spreadsheets or other analytical software
b) Either
1.Experience of using complex data to build dashboards in Power BI alongside an understanding of coding and databases (one or more of: SQL, R, Python)
or
2.Experience of statistical analysis
c) Knowledge of specific analytical and problem-solving techniques
d) Evidence of at least one high profile analytical project you have managed
Then complete the Technical Statement section (in no more than 250 words), detail how you meet the below essential Technical Skills and Qualification criteria:
One or more of:
• Relevant skills, knowledge, and application of Operational Research (OR), data science or data analysis techniques;
• Qualifications to allow 'badging' to join GORS (Government Operational Research Service) in an analytical profession. Qualifications are a 2:1 in a numerate subject, and substantial experience of applying operational research or for Government Statistical Service (GSS), a 2:1 in a numerate subject and substantial experience of applying statistics; for Government Digital Service (GDS), a 2:1 in a numerate subject and substantial experience of data science.
This should include:
a) Experience of developing MI reports and/or analytical insight including use of spreadsheets or other analytical software
b) Either
1.Experience of using complex data to build dashboards in Power BI alongside an understanding of coding and databases (one or more of: SQL, R, Python)
or
2.Experience of statistical analysis
c) Knowledge of specific analytical and problem-solving techniques
d) Evidence of at least one high profile analytical project you have managed
When prompted please provide a Personal Statement in up to 750 words detailing how you meet the below Essential Experience criteria:
Please review your application form before clicking 'submit' - once you have submitted, you will not be able to amend your application. Ensure your application form is received by the closing date for receipt of applications - this is 11:55pm on the advertised date.
The sift will take place shortly after the closing date.
In case of a high volume of applications, we will complete a pre-sift on your technical question:
One or more of:
• Relevant skills, knowledge, and application of Operational Research (OR), data science or data analysis techniques;
• Qualifications to allow 'badging' to join GORS (Government Operational Research Service) in an analytical profession. Qualifications are a 2:1 in a numerate subject, and substantial experience of applying operational research or for Government Statistical Service (GSS), a 2:1 in a numerate subject and substantial experience of applying statistics; for Government Digital Service (GDS), a 2:1 in a numerate subject and substantial experience of data science.
This should include:
a) Experience of developing MI reports and/or analytical insight including use of spreadsheets or other analytical software
b) Either
1.Experience of using complex data to build dashboards in Power BI alongside an understanding of coding and databases (one or more of: SQL, R, Python)
or
2.Experience of statistical analysis
c) Knowledge of specific analytical and problem-solving techniques
d) Evidence of at least one high profile analytical project you have managed
Then we will complete a second pre-sift on your CV.
If successful at shortlisting stage, you will be invited to attend a blended virtual interview and deliver a pre-prepared presentation. The blended interview will test the essential experience and behaviours listed in the Job Description.
We expect interviews to take place during the week commencing 9th November 2026.
Candidates can refer to notes within their interview, but they should be used as a prompt only.
HMLR is accredited to the Disability Confident Scheme, which denotes organisations which have a positive attitude towards disabled people.
If you require the panel to consider a reasonable adjustment or there is anything else you would like the panel to take into consideration, you are asked to notify us of this at application stage where possible or during the process as soon as it becomes a requirement.
Please note that we will only offer sponsorship for a skilled worker visa where a role is in a certain business critical category. This role does not meet that category, and we will not sponsor a skilled worker visa.
You must ensure you have the appropriate right to work in the UK before applying.
You can find more information on how we use your personal data on our website
This job is broadly open to the following groups:
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On-site in Slough
On-site in London
£50k
