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- Tasks: Lead data analysis to support operational teams and improve service delivery.
- Company: Join a leading mental health service provider in Greater Manchester, dedicated to community well-being.
- Benefits: Enjoy hybrid working, professional development opportunities, and a supportive workplace culture.
- Why this job: Make a real impact on mental health services while collaborating with diverse teams.
- Qualifications: Master’s degree in health information or significant experience in analytical roles required.
- Other info: Face-to-face interviews at Trust Headquarters; applications from diverse backgrounds encouraged.
The predicted salary is between 42000 - 84000 £ per year.
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 #PennineCarePeople 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.
Lead Investigation Analyst employer: Pennine Care NHS Foundation Trust
Contact Detail:
Pennine Care NHS Foundation Trust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Investigation Analyst
✨Tip Number 1
Familiarise yourself with the specific analytical tools mentioned in the job description, such as SQL and the Microsoft SQL Server BI Stack. Being able to demonstrate your proficiency in these tools during the interview will set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience in leading analytical projects and how you've collaborated with various teams. Think of specific examples where your insights have directly influenced decision-making or improved data quality.
✨Tip Number 3
Research the organisation's current challenges and successes in mental health services. This knowledge will help you tailor your responses in the interview and show that you're genuinely interested in contributing to their mission.
✨Tip Number 4
Since the role involves effective communication with a wide range of stakeholders, practice articulating complex data findings in a clear and concise manner. This will be crucial during your face-to-face assessment at the Trust's Headquarters.
We think you need these skills to ace Lead Investigation Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Lead Investigation Analyst role. Focus on your analytical skills, experience with Business Intelligence tools, and any relevant qualifications.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities and requirements mentioned in the job description. Emphasise your experience in data analysis, statistical techniques, and your ability to communicate effectively with stakeholders.
Showcase Relevant Experience: In your application, provide specific examples of past projects or roles where you successfully led analytical work or improved data quality. Use metrics to demonstrate your impact whenever possible.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for the analytical role.
How to prepare for a job interview at Pennine Care NHS Foundation Trust
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Lead Investigation Analyst. Familiarise yourself with the key duties mentioned in the job description, such as data analysis, stakeholder communication, and the importance of data quality in the NHS.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with statistical analysis and Business Intelligence tools. Be ready to provide examples of how you've used SQL and data visualisations to solve problems or improve processes in previous roles.
✨Demonstrate Collaboration
Since the role involves working collaboratively with various teams, think of examples where you've successfully worked with others. Highlight your ability to communicate effectively and support colleagues in understanding data.
✨Prepare Questions
Have insightful questions ready for your interviewers. This could include inquiries about the current challenges the organisation faces regarding data management or how they envision the role evolving in the future.
