Job summary
Full time - 35 hours per week worked Monday to Friday
Hybrid
location (minimum 50% office based), Milton Keynes
Salary £27,030 per annum
Main duties of the job
You can expect to
join a supportive team and will have the opportunity to develop your skills,
working closely with our Business Intelligence & Data Manager and Associate
Director for Quality as the Hospice invests in data intelligence for the future.
Following initial
induction, this role has a hybrid location (a minimum of 50% of the hours to be
spent at our Willen Lake location).
With good
communication skills, you will work across departments and will have two years
previous experience as a data analyst demonstrating cStrong computer literacy including
packages/languages such as SQL, SAS, PowerBI, Powershell, Python and advanced
knowledge of Microsoft Office.
The integrity and
analysis of our data is essential to inform our decision making, maximise
income generation and ensure our patients receive the best care possible. You
will play a pivotal role in making this happen, supporting the Data &
Quality teams on the clinical and business development sides of our
organisation. We are seeking a motivated data driven analyst who gets
satisfaction from collating, reporting and presenting key messages and
performance information to others. You will help to improve business
intelligence services and act as a superuser for several systems in this newly
designed and varied role.
About us
Set in the tranquil grounds of
Willen Lake, Willen Hospice is the leading provider of specialist palliative care
within the Milton Keynes area. We offer 24 hour / seven days a
week palliative care to people who have advanced disease, caring for people in
our Inpatient Unit which accommodates 15 patients and the local community. Our
person centred care is delivered with compassion and respect for peoples
wishes.We have an expanding Therapeutic & Wellbeing service offering
Psychological Wellbeing, Social Care, Physiotherapy, Occupational and
Complementary Therapy. Our dedicated Business Development teams and retail
portfolio of shops raise vital funds to deliver this care.
In return for your skills and
experience, you can expect:-
To join a supportive
and caring team
Generous annual leave entitlement starting at 35 days
pro rata (inclusive of statutory and bank holidays)
Free onsite parking at the Hospice
Employer enhanced auto-enrolment pension scheme
Enhanced maternity, adoption and sick pay
provision
Ongoing commitment to
education and professional development
Blue Light Card
discounts (with membership)
Excellent on-site subsidised catering facilities
Access to Employee
Assistance Programme
For more information and to apply please visit:
https://www.willen-hospice.org.uk/careers
Closing Date: 5 November 2023
Interview Date: 15 November 2023
Job description
Job responsibilities
Key Accountabilities:
Key points that you will use to measure a persons success in this role:
1. Work with the BI & Data Manager, AD of Quality, Governance & Performance and other key staff to support and deliver data innovation and improvement across the organisation.
2. Collaborate with internal teams to identify data needs, collect relevant data, and ensure data accuracy and integrity.
3. Analyse large datasets to identify trends, patterns, and correlations related to patient and supporter outcomes, resource utilization, and overall hospice services.
4. Support the development and maintenance of data dashboards and reports to visualize information, statistical data and key performance indicators (KPIs).
5. Conduct statistical analysis and create models to forecast patient and supporter needs, resource requirements, and program outcomes.
6. Segment and profile supporter data in appropriate ways to inform targeted and personalized interactions, efficient resource allocation, and strategic decision-making.
7. Provide a prompt response to high priority ad-hoc requests for complex information and reporting.
8. Assist in designing data collection tools, forms and surveys to gather relevant and appropriate information from patients, families, supporters, volunteers and staff to inform program improvements and aid in process automation.
9. Act as a superuser for key systems including SystmOne and Access Charity CRM in order to better collect and process data, adhering to the principles and practice of good information governance.
10. Work closely with internal departments and IT support to ensure the compliant, secure and efficient storage, retrieval, and analysis of data.
11. Keep abreast of changes in the NHS, Social Care, fundraising and income generation industries, as well as best practices, appropriate technologies and data analysis techniques to support continued improvement of data-related processes and methodologies.
Code of Conduct for all Employees
To operate at all times within the Willen values.
To act in a way that promotes the wellbeing of staff, volunteers, patients and families.
To work constructively with colleagues and stakeholders at all times.
To act as an ambassador for Willen at all times
To maintain confidentiality at all times.
To participate in annual Appraisal and attend any training identified.
To attend all mandatory training, e.g. fire training, moving etc.
To abide by the Policies and Procedures of Willen Hospice.
Job description
Job responsibilities
Key Accountabilities:
Key points that you will use to measure a persons success in this role:
1. Work with the BI & Data Manager, AD of Quality, Governance & Performance and other key staff to support and deliver data innovation and improvement across the organisation.
2. Collaborate with internal teams to identify data needs, collect relevant data, and ensure data accuracy and integrity.
3. Analyse large datasets to identify trends, patterns, and correlations related to patient and supporter outcomes, resource utilization, and overall hospice services.
4. Support the development and maintenance of data dashboards and reports to visualize information, statistical data and key performance indicators (KPIs).
5. Conduct statistical analysis and create models to forecast patient and supporter needs, resource requirements, and program outcomes.
6. Segment and profile supporter data in appropriate ways to inform targeted and personalized interactions, efficient resource allocation, and strategic decision-making.
7. Provide a prompt response to high priority ad-hoc requests for complex information and reporting.
8. Assist in designing data collection tools, forms and surveys to gather relevant and appropriate information from patients, families, supporters, volunteers and staff to inform program improvements and aid in process automation.
9. Act as a superuser for key systems including SystmOne and Access Charity CRM in order to better collect and process data, adhering to the principles and practice of good information governance.
10. Work closely with internal departments and IT support to ensure the compliant, secure and efficient storage, retrieval, and analysis of data.
11. Keep abreast of changes in the NHS, Social Care, fundraising and income generation industries, as well as best practices, appropriate technologies and data analysis techniques to support continued improvement of data-related processes and methodologies.
Code of Conduct for all Employees
To operate at all times within the Willen values.
To act in a way that promotes the wellbeing of staff, volunteers, patients and families.
To work constructively with colleagues and stakeholders at all times.
To act as an ambassador for Willen at all times
To maintain confidentiality at all times.
To participate in annual Appraisal and attend any training identified.
To attend all mandatory training, e.g. fire training, moving etc.
To abide by the Policies and Procedures of Willen Hospice.
Person Specification
Experience
Essential
- Two-three years experience working in a data analyst role. Excellent knowledge and strong interest in analytics and identifying key messages in analytics. Strong computer literacy including packages/languages such as SQL, SAS, PowerBI, Powershell, Python and advanced knowledge of Microsoft Office. Experience of analysing and investigating key performance information. Likely to have a qualification in a data related subject. Understanding of statutory obligations e.g. GDPR. Knowledge of clinical data, sales data, marketing analysis would be advantageous.
Qualifications
Essential
- Two-three years experience working in a data analyst role. Excellent knowledge and strong interest in analytics and identifying key messages in analytics. Strong computer literacy including packages/languages such as SQL, SAS, PowerBI, Powershell, Python and advanced knowledge of Microsoft Office. Experience of analysing and investigating key performance information. Likely to have a qualification in a data related subject. Understanding of statutory obligations e.g. GDPR. Knowledge of clinical data, sales data, marketing analysis would be advantageous.
Person Specification
Experience
Essential
- Two-three years experience working in a data analyst role. Excellent knowledge and strong interest in analytics and identifying key messages in analytics. Strong computer literacy including packages/languages such as SQL, SAS, PowerBI, Powershell, Python and advanced knowledge of Microsoft Office. Experience of analysing and investigating key performance information. Likely to have a qualification in a data related subject. Understanding of statutory obligations e.g. GDPR. Knowledge of clinical data, sales data, marketing analysis would be advantageous.
Qualifications
Essential
- Two-three years experience working in a data analyst role. Excellent knowledge and strong interest in analytics and identifying key messages in analytics. Strong computer literacy including packages/languages such as SQL, SAS, PowerBI, Powershell, Python and advanced knowledge of Microsoft Office. Experience of analysing and investigating key performance information. Likely to have a qualification in a data related subject. Understanding of statutory obligations e.g. GDPR. Knowledge of clinical data, sales data, marketing analysis would be advantageous.
