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Senior Statistical Officer - London

Civil Service

Job Description

As a senior government statistician you will work on high profile analysis and research, working at the heart of government, in roles that really make a difference, including;supporting the transport network and infrastructure to keep the UK on the movesafeguarding our natural environment to sustain a thriving rural economysupporting immigration and passports, drugs policy, crime, fire, counter-terrorism and policeThis senior role will require you to take responsibility for multiple aspects of statistical production, often managing teams of analysts and non-analysts to deliver innovative results for your stake holders. Developing expertise in technical skills through further training.Whether you are hearing about us for the first time or already know a bit about us, we hope that the candidate pack attached (bottom of page) will give you a great insight into the GSS and what it means to work as a statistician.Key responsibilitiesEvery role in the Government Statistical Service (GSS) is as different as the departments they work in. You will work on a breadth of projects which will require you to;create new data solutions/collections through the manipulation of multiple data sources, to better meet customer needsproactively engage early and often with the customer to share analytical results, and to discuss findings, taking data limitations into account.influence the debate and the decision-making process ensure that robust data collection is facilitateddrive forward suitable technologies, tools and analytical techniques, leading the way in their application and acts as a main point of contact to ensure effective delivery within, and across teamsuse the most appropriate methods and tools to use to deliver analysis, confidently adapting their approach as required to effectively manipulate a variety of data sourcestake responsibility for the delivery of high quality statistical advice and analysis given by self and/or teambuild the capability of others by sharing knowledge about data sources, data manipulation and appropriate innovations within own team or across business area

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