Data Analyst

Salary: £28,000

Hours: 37.5 hours per week

Location: Russell House, Huddersfield (hybrid working accepted but must be able to work from the office 3 days per week)

Responsible to: Service Funding and Data Manager

Responsible for: N/A

Benefits: Entry into Peoples Pension, death in service benefit (3 x salary), out of pocket expenses, free on-site parking, free access to confidential and extensive wellbeing support, generous holiday entitlement (26 days plus bank holidays rising to 31 days after 5 years for a full time employee, pro rata for part time), a day off for your birthday!, free tea / coffee, sight tests and flu jabs and excellent learning and development opportunities. 

OVERVIEW OF ROLE

At Forget Me Not, we deliver pioneering care through pregnancy, childhood and loss, wherever families need us, whatever the future holds. But to do that well, we need to understand what’s working, what’s changing, and where we can do better. That’s where you come in.

As our curious, detail driven data analyst, you’ll help us turn numbers into knowledge. You’ll work across departments to collect, clean and interpret data from clinical systems like SystmOne and operational platforms, helping our teams make informed decisions that improve care and efficiency.

You’ll lead the development of dashboards and reports using tools like Power BI, support our AI taskforce, and help shape our data strategy. Whether it’s analysing trends, building automated solutions, or supporting impact reporting for funders and regulators – your insights will help us deliver smarter, more responsive services.

You’ll be confident working with data tools like Excel, SQL and Power BI, and ideally have experience in healthcare, charity or public sector settings. You’ll be a great communicator, able to translate complex data into clear, actionable insights. Familiarity with AI tools and a passion for innovation are a big plus.

If you want to be part of a forward-thinking, supportive team and use your analytical skills to make a real difference to children and families, we’d love to hear from you.

For an informal chat about the role, please contact Laura Blackford 07442 360870

JOB DESCRIPTION

Role Summary

Our vision is to deliver pioneering care through pregnancy, childhood and loss, wherever families need us, whatever the future holds.  As Data Analyst, you will play a key role in helping the organisation make data driven decisions to improve care delivery and operational efficiency.  You will work across departments to collect, analyse, and present data that informs strategic planning and service development.  This role will be a key member of the Data Taskforce and support our Data Strategy to ultimate success and ongoing improvement.

To find out more about working for Forget Me Not Children's Hospice please see our recruitment pack 

Main Duties and Key Responsibilities

• Extract, clean, interpret and present data from various sources including clinical systems (SystmOne) and operational databases to allow FMN leadership team understand trends, analysis and outcomes.
• Lead the design, development and maintenance of dashboards, reports and analytical tools to aid decisions making across the organisation.
• Take ownership of core organisational datasets, ensuring they are well structured, secure and accessible.
• Ensure the integrity, accuracy, and timeliness of data used for reporting, compliance and performance monitoring.
• Support data analysis by working with AI tools to manage datasets, monitor performance and uncover trends, patterns and insights to improve service delivery and resource allocation.
• Work with internal stakeholders across the organisation to undertake sensitive projects in line with our strategy that will drive the organisation forward and ensure we are fit for the future.
• Develop automated solutions to streamline data reporting and analysis.
• Work closely with data owners and system users to ensure data input aligns with NHS palliative care commissioning models and organisational strategy.
• Build tools to allow accurate analysis, segmentation, mapping and interpretation of information.
• Collaborate with internal stakeholders to understand data needs and translate them into actionable analytics.
• Manage and develop key systems that underpin organisational reporting and compliance (e.g. Vantage)
• Support impact measurement and reporting for internal and external stakeholders, including funders and regulators
• Provide guidance to colleagues by sharing best practices in data analysis, fostering a culture of data literacy, and supporting staff development through coaching and knowledge transfer
• As part of the AI Taskforce, you will assess and provide a perspective on how AI driven data analysis can be used to support clinical decision making and service delivery.  Likewise, you will ensure data analysis utilises the latest AI and Business Intelligence tools (such as PowerBI) to provide rish insights into decision makers.
• Working with the IG Lead, consider how emerging AI technologies (such as data gathered from note scribing tools) can be seamlessly incorporated into routine workflows – and integrate into our existing clinical systems (such as SystmOne).

We expect all staff to undertake any other duties within the scope, spirit and purpose of the job, the title of the post and its grading, as requested by your line manager or their higher level of authority on behalf of the charity.

For all of our roles we expect employees to abide by the expectations set out within the Together for Families Framework (click here). Complying with Together for Families means that we will all act with integrity to ensure we are trusted the people we care for, the people we work with and everyone who supports Forget Me Not. 

Person specification

Skills and experience

• Knowledge and practical experience of data tools such as Excel, Power BI, SQL or other visualisation tools
• Proven experience in data analysis, preferably in healthcare, charity or public sector
• Ability to interpret and present complex data in a clear and actionable manner
• Strong analytical and problem-solving skills
• Knowledge of Data Protection principles, including the GDPR and other data protection legislation
• Demonstrate the ability to meet Hospice core values
• Knowledge and understanding of how business intelligence and data can support the work of the hospice in all areas - clinical and non-clinical
• Experience of communicating/ disseminating information to a broad range of stakeholders utilising strong communication skills
• Familiarity with Artificial Intelligence tools and techniques for enhancing data analysis and decision making
• Self-motivated, pro-active and innovative with a positive outlook embracing change
• Willing to work flexibly, outside office hours as required by the duties of the post
• Prepared to undertake further training to extend existing skills/knowledge in new areas.

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  Education/qualifications

  Essential:

• Qualified to level 3 (A-Level), with a minimum of 5 GCSE’s graded A*-C, including in English and Mathematics.
• IT competency qualifications (such as Microsoft MCP or MCSE certifications)

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Desirable:

• Postgraduate qualifications in either:

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  Data analytics

  Business Intelligence

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  Power Bi Certification

  SQL or Python programming certifications

  Microsoft data analyst Associate

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• Knowledge of building AI tools (such as AI agents and Microsoft CoPilot) to fulfil a specific task and allow the automation of routine data analysis.
• Knowledge of how other health and social care settings (including within the NHS) are using AI tools to improve performance and productivity, leading to more effective decision making and service delivery.

• Professional certifications in either:

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This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Equality and Diversity

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Please note that we are committed to equality and diversity and make the following pledge in relation to our recruitment practices;

• We will actively encourage and support under-represented groups to join us as employees
• ​We will always interview you if you are an applicant with disability who meets the essential requirements of the job and will provide adjustments to the recruitment process if required.  
• We are committed to supporting part time and flexible working; we will consider part time working requests for all our roles

Please click here to view our full equality, diversity and inclusion pledge