Information Analyst / Statistician (Data Scientist)

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Information Analyst / Statistician (Data Scientist), NHS, Health, Clinical, SAS, SQL, Coding, Algorithms, Data Analyst, Data Quality, Planning, Project, Manager, management, Technical Architecture, Insights, Public Sector, Government, London, Emergency Services, Modelling, Power BI, Business Intelligence,

Our Public Sector Health client is currently recruiting for an Information Analyst / Statistician based in London

To conduct linkage and analysis of clinical outcomes data from various services (e.g. emergency departments) and predictive modelling work to support improved clinical triage. This will also involve supporting the development and implementation of the Data Insights service.

Data work-stream will include information and business analysts, technical architects with the input from other specialists across the programme team and wider organisation.

As part of the wider programme that is looking at improving clinical decision support system and using linked data across patient journey to support this process. There is a limited evidence/system observability of the triage efficiency. This work will help to collect, link and analyse data (including use of statistical modelling and data science techniques) at national level and provide insights to further improve the systems/services.

Key skills / Experience

* Advanced knowledge and experience of SAS and SQL

* Coding of analytical algorithms

* Demonstrable experience of working within a fast-paced environment, in an analyst or data scientist role

* Conducting and interpreting complex analysis and reconciling conflicting information to reach a conclusion

* Investigating and resolving data quality issues

* Problem solving in novel areas

* Excellent written and verbal communications skills

* Experience of producing reports and presentations for both specialist and non-technical audiences

* Planning skills and ability to work with conflicting priorities

* Experience of working with health data

* Knowledge and experience of using other analytical tools, e.g. Power BI