Senior Public Health Intelligence Analyst

The post holder will join Camdens growing Public Health Intelligence team who specialise in knowledge management and epidemiology/statistics. The remit of the team is to turn health data and information into intelligence that underpins policy decisions to improve population health and reduce inequalities. The Senior Public Health Intelligence Analyst will be responsible for drawing together information from NHS and non-NHS sources in traditional and innovative ways to explore patterns and determinants of health, including health inequalities, and communicating findings to influence decision making. Work will cover an array of topics including health improvement, health protection, population health management, modelling, opportunity analysis, and health care analysis and will be a mixture of ad hoc and long- and short-term projects. The post-holder will report to the Lead Public Health Intelligence Analyst and line manage Public Health Intelligence Analysts within the team. This post is
aligned to Camdens DDaT-based Professional Framework for Data Analysts, it forms part of Camdens wider community of practice for Data Analysts and maintains a dotted line into the Lead Data Analyst for Supporting People. Things you will achieve: Providing expert advice to senior staff to enable evidence-based decision making, strategy development, service planning, and the delivery of services. Engaging with senior stakeholders to progress Public Health priorities. Planning, managing, and delivering on a range of projects requiring potentially complex analytic input, including negotiating and agreeing the appropriate data output, initiating and planning workloads, setting timescales, and managing workloads across the team. Supporting the development of robust, scalable analytical products within the team and partner organisations, including providing advice and assistance to analysts on statistical, technical, and communication methods. Using analytical software such as R, SQL, and
mapping packages in combination with software such as the Microsoft Office suite and Git to undertake reproducible data manipulation and analysis as well dissemination of data and intelligence, working individually and as part of a team of analysts. Contributing to the development of innovative methods of analysis and working to increase the quality of intelligence produced, including the use of reproducible analytical pipelines. Supporting the work of the broader team, including with quantitative and qualitative evaluation, needs assessments, and the management of work. Communicating with stakeholders, including senior and specialist and non-technical staff, using verbal, written and graphical communications to translate complex evidence and statistical concepts confidently and robustly as well as developing and maintaining these relationships. Carry out quality assurance of data and analysis. Design and deliver training and workshops internally and externally.