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Lead Investigation Analyst

Posted 13 days 2 hours ago by Pennine Care NHS Foundation Trust

Permanent
Not Specified
Other
Lancashire, Ashton-under-lyne, United Kingdom, OL6 0
Job Description

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The role is Hybrid but the successful candidate will be required to be on site at Trust Headquarters once a week.

The interview is a face-to-face assessment which will take place at the Trust's Headquarters (OL6 7SR).

PLEASE NOTE THAT PREVIOUS UNSUCCESSFUL APPLICANTS NEED NOT APPLY.

The Lead Analyst will work collaboratively with colleagues across the organisation to ensure they are provided with the right information, at the right time, in the right format. This includes developing the information infrastructure to support high quality information analysis; improving mechanisms for measuring, understanding and improving the quality of data held in the data warehouse; contributing to the development of information services; effective communication with a wide range of stakeholders; and providing support to others to develop their knowledge and skills. The post holder will understand how critical good management information can be in the NHS and will be responsible for ensuring that reports are developed in response to the needs of the business.

Main duties of the job
  • To lead and provide support to operational and corporate teams to enable them to interpret the available data for judgement on actual performance and the ability to deliver operational plans using statistical analysis where appropriate.
  • To provide detailed analysis in order to model demand, resources and throughput to ensure appropriate balance of provision and to identify variances between supply and demand to facilitate discussions of service change, provision or development.
  • To lead the analytical work within services to assess capacity and demand for each clinical service, identifying areas of service pressure, undertaking gap analysis and support the production of option appraisals.
  • To work alongside other corporate functions including HR, Finance and Quality to investigate and respond appropriately to queries from internal and external sources in relation to operational and strategic reporting at all levels of the organisation.
  • To lead on the implementation of the data quality framework and supporting tools into their area of the business, ensuring that the right staff have access to the right tools in order to monitor and comply with data quality standards.
Working for our organisation

We are proud to provide high quality mental health and learning disability services, both inpatient and in the community across five boroughs of Greater Manchester - Bury, Oldham, Rochdale, Stockport and Tameside and Glossop.

Our vision is for a happier and more hopeful life for everyone in our communities and our staff work hard to deliver the very best care for the people who use our services. We're really proud of our and do everything we can to make sure we're a great place to work.

All individuals regardless of race, age, disability, ethnicity, nationality, gender, gender reassignment, sexual orientation, religion or belief, marriage and civil partnership are encouraged to apply for this post. We would also encourage applications from individuals with a lived experience of mental illness, either individually or as a carer.

Detailed job description and main responsibilities

To view the detailed job description and main responsibilities, please see the attached job description and person specification.

Person specification Qualifications
  • Educated to Master's level in a health information or mathematical/statistical subject or substantial post qualification experience in Informatics roles.
Experience
  • Significant experience of working within a senior analytical position.
  • Demonstrable experience of using Business Intelligence/Reporting software to develop data visualisations.
  • Experience of programming or complex query-writing using SQL.
  • Experience of using the Microsoft SQL Server BI Stack (particularly SSRS and SSIS).
Knowledge
  • Expert knowledge of advanced statistical techniques and modelling (such as Statistical Process Control, Funnel Plots, modelling future demand, population growth etc.).
  • Understanding of the development/management of enterprise level relational databases.
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