Data Analyst Huddersfield OnsiteHybrid

Forget Me Not Children's Hospice; Huddersfield; Hybrid; GBP 28,000 - 34,000; Full time

Job summary

A children's care charity in Huddersfield is seeking a Data Analyst to help turn data into actionable insights. The position requires strong knowledge of data tools like Excel and Power BI, with a focus on supporting healthcare-related projects. Your role will involve developing dashboards, managing datasets, and collaborating with teams to enhance decision-making. If you're passionate about leveraging data to improve care, we want to hear from you!

Benefits

Entry into People’s Pension

On-death in service benefit (3× salary)

Free on-site parking

Access to well-being support

Generous holiday entitlement (26 days plus bank holidays)

Day off for your birthday

Free tea/coffee, sight tests, and flu jabs

Excellent learning opportunities

Qualifications

• Experience with data tools such as Excel, Power BI, and SQL.
• Proven experience in data analysis, preferably in a relevant field.
• Strong analytical skills with the ability to present data effectively.
• Knowledge of GDPR and Data Protection principles.
• Experience communicating with diverse stakeholders.

Responsibilities

• Extract and clean data from various sources for analysis.
• Develop dashboards and reports to aid decision-making.
• Ensure data integrity and compliance with regulations.
• Support AI-driven data processes to improve service delivery.

Skills

Data Analytics

Microsoft Excel

Power BI

SQL

Data Visualization

R

Data Management

Problem-Solving

Tools

SystmOne

AI tools

Job description

Salary: 28700

Hours: 37.5 hours per week full time

Location: Huddersfield – Onsite / Hybrid (minimum 3 days from Huddersfield office)

Responsible to: Service Funding and Data Manager

Responsible for: N/A

Benefits

• Entry into People’s Pension

• On‑death in service benefit (3× salary)

• Out‑of‑pocket expenses – free

• Free on‑site parking

• Free access to confidential and extensive well‑being 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)

• Day off for your birthday!

• Free tea/coffee, sight tests and flu jabs

• Excellent learning and development opportunities

• Please note previous applicants need not reapply*
• Please note that we are unable to provide visa sponsorship for this role*

OVERVIEW OF ROLE

At Forget Me Not we deliver pioneering care through pregnancy, childhood and loss wherever families need us, whatever the future holds. 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.

Role Summary

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 such as 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 Power BI, support our AI Taskforce and help shape our Data Strategy. Whether 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 tools such as Excel, SQL and Power BI and ideally have experience in a healthcare, charity or public‑sector setting. 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.

Key Responsibilities

• Extract, clean, interpret and present data from various sources including clinical systems (SystmOne) and operational databases.
• Lead the design, development and maintenance of dashboards, reports and analytical tools to aid decision‑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 aligned with our strategy that 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, assess and provide a perspective on how AI‑driven data analysis can be used to support clinical decision‑making and service delivery.
• Ensure data analysis utilises the latest AI and Business Intelligence tools (such as Power BI) to provide rigorous insights into decision‑makers.
• Work with the IG Lead to consider how emerging AI technologies (such as data gathered from note‑scribing tools) can be seamlessly incorporated into routine workflows and integrated 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 and the title of the post and its grading, as requested by their line manager or higher authority on behalf of the charity.

Person Specification

• 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.
• Demonstrate the ability to meet Hospice core values.
• 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 using strong communication skills.
• Familiarity with Artificial Intelligence tools and techniques for enhancing data analysis and decision‑making.
• Self‑motivated, proactive and innovative with a positive outlook embracing change.
• Willing to work flexibly outside office hours as required.
• Prepared to undertake further training to extend existing skills/knowledge in new areas.

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and a Disclosure and Barring Service check will be required.

Equality and Diversity

We are committed to equality and diversity and pledge to actively encourage and support under‑represented groups to join us as employees. We will always interview applicants with a disability who meet the essential requirements of the job and provide adjustments to the recruitment process if required. We support part‑time and flexible working and will consider part‑time working requests for all our roles. Click here to view our full equality, diversity and inclusion pledge.

Key Skills

Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Employment Type: Full Time

Experience: years

Vacancy: 1