Lead Public Health Intelligence Analyst

Job description

Job responsibilities

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 Lead Public Health Intelligence Analyst will develop the teams work plan and strategic goals in conjunction with the Head of Health Intelligence. They will lead on technical advancements and innovative approaches to data usage and sharing, including the development of more complex epidemiological analyses using advanced statistical techniques (e.g. risk stratification, modelling, opportunity analysis and health care analysis). They will lead on the design, methods and quality assurance of the teams analysis, and data management.

The post holder will develop and maintain key working relationships and partnerships with a variety of internal teams and external stakeholders (e.g. North Central London ICB, academic and voluntary sector partners), providing advice and input on emerging priorities to senior stakeholders. They will develop and deliver training on epidemiological analysis to the public health intelligence team, the public health department, and other analytical teams.

The post-holder will report to the Head of Health Intelligence and manage a team of Senior Public Health Analysts. 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 Principal Data Analyst.

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.

Leading 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.

Person Specification

Experience

Essential

• Public Health
• A strong understanding of public health, health inequalities, and the wider determinants of health. Knowledge and experience of the development, use, and interpretation of public health datasets, their strengths and weaknesses, and appropriate methods for answering different public health questions.
• Stakeholder management
• Experience of working collaboratively across organisations and partners, including higher educational institutions, health services, the voluntary sector and patients and the public. Adept at influencing and negotiating with senior stakeholders.
• Strategic context
• A good understanding of local government, the health system environment, and the UK health research landscape. Enthusiasm and experience of collaborating across organisations and partnerships, including with the voluntary sector and patients and the public. Skilled in navigating different organisational settings, conditions, and audience needs.
• Project management and adaptability
• Excellent time management and prioritisation skills, able to oversee a team working simultaneously on a number of complex and challenging projects. Planning, organising, and prioritising the workload of oneself and others to deliver high quality outputs to deadline.
• Communication
• High standard of oral and written communication skills, demonstrated by the ability to synthesise and present complex information, in a variety of formats to a variety of audiences. Ability to produce high quality research outputs which are accurate and accessible to all stakeholders, including non-experts.
• People Management
• Experience of managing a team in accordance with corporate policies, demonstrated by an understanding of human resources policies and management strategies. Skilled at training and developing team members wider stakeholders, including non-experts.

Qualifications

Essential

• Educated in a suitable postgraduate qualification in public health, epidemiology, statistics, social and behavioural sciences, health sciences or similar numerate discipline.
• Analytical experience
• Extensive experience of leading robust public health analysis, synthesising data and research, forming well founded results and recommendations to support evidence-based decision making. Strong understanding of quantitative epidemiological methods (e.g., standardisation, significance testing, and regression) and ability to extract, validate, analyse, interpret, and present quantitative data. Working knowledge of qualitative research methods, and their strengths and limitations. Highly experienced in information governance and data management. Experienced in developing and delivering training and education on quantitative analytical methods and data visualisation. Experienced in developing reproducable analytical pipelines, ideally using R or Python.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details

Employer name

London Borough of Camden

Address

5 Pancras Square

London

N1C 4AG

Employer's website

https://www.camden.gov.uk/jobs-camden-council (Opens in a new tab)