The Nursing and Midwifery Council este un organism independent de reglementare în domeniul sănătății și o organizație nonprofit, responsabilă de stabilirea standardelor profesionale pentru asistenți medicali, moașe și asociați de asistență medicală. Activitatea sa sprijină furnizarea unor îngrijiri sigure, eficiente și pline de compasiune, prin supravegherea practicii profesionale a peste 808.000 de profesioniști din domeniul sănătății înregistrați. În calitate de angajator, Consiliul reunește echipe care lucrează în domeniile reglementării, standardelor profesionale, politicilor, educației și sprijinului organizațional, pentru a consolida încrederea publicului în profesiile de asistență medicală și moașă.
Education Data Analyst – The Nursing and Midwifery Council
Turn complex data into dashboards and practical insight to support the Nursing and Midwifery Council’s education quality assurance and regulatory decisions across the UK.
Regatul Unit40.982 £ – 48.961 £ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăAnalist de dateDescriere
- Analyse complex data to uncover trends, opportunities and emerging risks.
- Create dashboards, reports and visualisations for operational and strategic decisions.
- Combine internal and external data to produce useful insight.
- Explain analytical findings through clear recommendations for varied audiences.
- Support management information and performance reporting frameworks.
- Examine information in Microsoft Dynamics 365 and other organisational systems.
- Inform education quality assurance, monitoring and regulatory work with data insight.
- Contribute to data quality, validation and governance processes.
- Recommend improvements to data collection, reporting methods and analytical approaches.
- Work with Education, Technology and other teams to resolve problems and improve services.
- Contribute to projects that improve the use, accessibility and value of education data.
- Encourage evidence-led decisions and continuous improvement.
- Strengthen understanding of risk, performance measures and quality in nursing, midwifery and nursing associate education across the UK.
Cerințe
- Have experience analysing and interpreting data in a complex organisation.
- Use strong analytical skills to find trends, risks, patterns and opportunities in large or complex datasets.
- Bring together information from multiple sources to develop meaningful insight and recommendations.
- Have experience creating reports, dashboards and visualisations with tools such as Power BI.
- Have experience using databases, business systems or platforms such as Microsoft Dynamics 365.
- Apply sound data management practices, including validation, quality assurance and governance.
- Explain technical information clearly to audiences without technical backgrounds.
- Pay close attention to detail and produce accurate, high-quality work.
- Support decisions through reporting, analysis and evidence-based recommendations.
- Build effective working relationships and collaborate with stakeholders at all levels.
- Take initiative, question existing methods and identify opportunities to improve.
- Be motivated to use data and insight to improve services, outcomes and decisions.
- Experience in higher education, healthcare, regulation, business intelligence, performance analysis or quality assurance is beneficial.
- Be able to attend one of the employer’s offices twice a week.
- Complete pre-employment checks; the role may also require DBS and further vetting checks.
Beneficii
- 30 days of annual leave.
- Enhanced pension scheme with an 8% standard employer contribution, rising to 14% with optional employee contributions.
- Life insurance worth four times current salary.
- Hybrid working, with two office days per week and the remaining time at home.
- Enhanced maternity and paternity leave.
- 24-hour Employee Assistance Programme.
- Cycle to Work Scheme.
- Perkbox membership.
- Subsidised restaurant at the Portland Place office.
- Season ticket loans.
- Annual salary reviews and a progressive pay approach.
- Reasonable adjustments for disabled candidates throughout recruitment.