Senior Statistical Officer (Band 3/SEO)

Health and Safety Executive; Liverpool; On-site; GBP 46,000; Part time

Job summary

A government organization in Liverpool is looking for a Senior Statistical Officer to provide operational support and deliver high-quality statistical analysis. You will work with an analytical team to produce reliable evidence for decision-making while ensuring adherence to best practices. This part-time role requires a strong background in statistical analysis and leadership experience. Benefits include a salary of £45,954 and flexible working options.

Benefits

Civil Service pension contributions

25 days annual leave increasing to 30

Flexible working options

Qualifications

• Proven leadership capability in managing a team and prioritizing tasks.
• Experience in analytical research and knowledge of data sources.
• Ability to explain complex analysis to non-specialists.

Responsibilities

• Create new data solutions through multiple data sources.
• Engage with customers to share analytical results.
• Provide high-quality statistical advice and analysis.

Skills

Data Analysis

Communication skills

Leadership

Education

Honours degree in a numerate subject

Job description

Overview

As a Senior Statistical Officer you will provide operational statistical support across HSE, with a particular focus initially on the Building Safety Division (BSD). Your work will help ensure HSE continues to protect people by preventing death, injury and ill health in Great Britain’s workplaces, while supporting the day-to-day delivery of BSD’s objectives. You will be part of an analytical team working alongside health and safety and building safety specialists, producing clear and reliable evidence to support effective decision-making. You will help maintain good practice in line with the principles of the Statistics Code of Practice. Part-time working hours are available for this role, with a minimum commitment of 30 hours per week. Occasional travel to the Bootle office will be required for monthly team meetings.

Responsibilities

• Create new data solutions/collections through the manipulation of multiple data sources to better meet customer needs.
• Proactively engage early and often with the customer to share analytical results and discuss findings, taking data limitations into account.
• Influence the debate and the decision-making process to ensure that robust data collection is facilitated.
• Drive forward suitable technologies, tools and analytical techniques, leading the way in their application and acting as a main point of contact to ensure effective delivery within, and across teams.
• Use the most appropriate methods and tools to deliver analysis and confidently adapt approaches to effectively manipulate a variety of data sources.
• Take responsibility for the delivery of high-quality statistical advice and analysis.
• Build the capability of others by sharing knowledge about data sources, data manipulation and innovations within the team or across the business area.

Behaviours (assessed during selection)

• Delivering at Pace
• Seeing the Big Picture
• Leadership

Technical skills (assessed during selection)

• Presenting and Disseminating Data Effectively
• Acquiring Data/Understanding Customer Needs
• Data Analysis

Qualifications and experience

• Proven leadership capability and experience managing a team and prioritising tasks in line with organisational aims.
• Analytical experience with practical application of analysis or research and knowledge of data sources.
• Experience of managing the delivery of complex projects and delivering quality outcomes to meet customer demands.
• Excellent communication and interpersonal skills, with the ability to explain complex analysis to non-specialists and to engage with ministers, senior officials and external stakeholders.
• Ability to deliver high-impact analysis to tight deadlines, with forward planning to identify risks and issues.
• A first- or second-class honours degree (2:2 or above) in a numerate subject containing taught statistical content (e.g. Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography).

Apprenticeships

• Level 6 Data Scientist Degree Apprenticeship, or
• Level 4 Data Analytics Apprenticeship with CPD logbook signed off by a GSG manager/mentor covering two years in government statistics/data analysis.

Experience route

• Alternative route for applicants with two years of statistical/data science experience, evidencing application at level equivalent to a foundation degree or HND (level five) per the GSG Competency framework.

Other guidance and checks

• Applicants may be eligible while in their final year of study; offers will be made on confirmation of qualifications.
• Successful candidates will undergo pre-employment checks, including security and identity verification.
• From 23 June 2025, successful interviewees will be checked against the Internal Fraud Hub as part of pre-employment screening. If included, employment will be refused. Errors in data can be appealed by contacting [e-mail].
• Existing Civil Servants may apply on loan or secondment terms, with prior written approval from their Line Manager before applying.

Benefits and salary

• Salary: £45,954 plus £13,312 towards Civil Service Defined Benefit Pension scheme contributions.
• Learning and development tailored to your role; flexible working options; an inclusive culture; and a range of Civil Service benefits.
• Other benefits include 25 days of annual leave rising to 30 days after 5 years, bank holidays, Civil Service privilege leave, parental leave, Cycle to Work Scheme, EdenRed perks, and more.

Security, nationality and diversity

• Successful candidates must undergo a criminal record check and baseline personnel security standard checks.
• This role is broadly open to UK nationals, Irish nationals, Commonwealth nationals with right to work, and certain EU/EEA/Swiss family members with settled or pre-settled status under the EUSS, among others as defined by the Civil Service guidance.
• The Civil Service Code applies; we recruit on merit and support diversity and inclusion initiatives.

How to apply

Please refer to the Civil Service Careers guidance for applying and completing a Personal Statement. The anonymised Personal Statement should be no more than 750 words and demonstrate how you meet the essential skills and criteria listed in the job advert.

Sift information: 29 September. Interviews: from 13 October. Dates may change due to panel availability.

Additional notes

Artificial Intelligence can be a useful tool to support your application, but all content must be truthful and taken from your own experience. We may perform additional checks including Google and social media checks in line with Civil Service policy. From 23 June 2025, IFH checks may apply as part of pre-employment screening.