Benefits
Salary: £39,862 – £45,091 per annum, Grade 5
Hours: Full Time – 37 hours per week, (possibility of Part-Time and Job Share)
Location – Service Headquarters, Calcot, Reading
Excellent annual leave allowance of 28 days, flexible working, onsite gym, parking facilities and a Local Government Pension Scheme are available
About the role
We are looking for a Community Risk and Intelligence Analyst to support strategic decision making and help drive data and evidence-based policy and practice in Royal Berkshire Fire and Rescue Service (RBFRS).
About you
This is an ideal opportunity for a candidate with experience analyzing data to assess risk, incorporating spatial, temporal, environmental and person specific factors.
You will have a passion for using evidence to improve public service delivery and be able to apply your specialist technical skills to a range of challenging questions in a fast-paced environment.
Specifically, we are seeking individuals who have proven experience in producing scenario and predictive models to understand risk and assess planned mitigations.
Key Responsibilities and Deliverables
- Collate, maintain and analyse data using appropriate software systems to inform strategic decision-making, including demographic, incident and vulnerability information and internal, external and national datasets.
- Produce scenario and predictive models, risk maps, thematic reports and analytical products, using established tools, templates and processes.
- Contribute to the development of risk assessment methodologies, using statistical techniques and programming languages to exploit available data where appropriate; work with the Community Risk and Intelligence Manager to build models of risk and mitigation.
- Provide analytical support to projects, evaluations or workstreams related to corporate planning, community risk, prevention, protection, or operational response deployment.
Key Role Requirements
- Ability to assess requests for analysis, extract, analyse and interpret data in a structured and logical manner.
- Proven experience within a data, statistical or analytical environment, including developing analytical solutions for planning or resource allocation.
- Experience working effectively as part of a team and with internal and external partners, including senior stakeholders.
- Experience processing data using Geographical Information Systems (GIS).
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