Insight Analyst
Listed on 2026-07-25
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IT/Tech
Data Analyst, Business Intelligence
Marie Curie is the UK’s leading end‑of‑life charity. We are the largest non‑NHS provider of end‑of‑life care in the UK, the only provider across all four nations, delivering community nursing and hospice care across the country, while providing information and support on all aspects of dying, death, and bereavement. Our leading research pushes the boundaries of what we know about good end‑of‑life, and our campaigns fight for a world where everyone gets to have the best possible quality of life while living with an illness they’re likely to die from.
The care and support we provide is highly valued by the people we care for and their loved ones, but at present we are only reaching around 10% of dying people at the end of life. Right now, one in four people in the UK with a terminal illness do not get the care or support they deserve at the end of their lives.
We want a different society than the one we live in now. Our mission for the next five years is to close the gap in the number of people missing out on what they need at the end‑of‑life, through three ways:
- Growing and transforming our direct care and support
- Delivering more practical information and support
- Leading in shaping the end‑of‑life experience
We’re looking for a Performance & Insight Analyst who is passionate about data, driven by detail, and motivated by continuous improvement. This is an exciting opportunity for an experienced analyst to join our central Caring Services Commercial and Performance Insight Team. Working across operational, commissioner and commercial reporting, you will transform complex data into meaningful insight that supports decision‑making, improves services and demonstrates the impact of Marie Curie’s work.
You will work with a diverse range of stakeholders and datasets, helping shape how data and evidence are used across Caring Services. Marie Curie is investing in the future of its analytics capability through the development of a new Data Hub, modern reporting platforms and enhanced self‑service analytics. This role offers the opportunity to help shape how analysis, Power BI reporting and insight are delivered across the organisation, supporting both operational decision‑making and long‑term strategic improvement.
This is an ideal role for someone who enjoys solving problems, is passionate about data, and wants to go beyond producing reports to play an active role in improving services and influencing decision‑making.
What You’ll Be Doing- Produce accurate, high‑quality performance reports and Power BI dashboards for internal and external audiences, using centrally governed data structures and reporting standards.
- Analyse operational, commercial and commissioner data to identify risks, opportunities and improvements, transforming complex data into clear, actionable insight for operational and senior leaders.
- Support improvements in data quality, consistency and reporting standards, including the development of new KPIs, analytical approaches and performance measures.
- Work with stakeholders to understand business challenges and translate them into meaningful analytical insight that informs decision‑making.
- Support the transition to Marie Curie’s new Data Hub and modern analytics environment, helping strengthen trusted, self‑service reporting and insight capability.
- Contribute to automation, innovation and the ongoing development of our data and insight capability, keeping up to date with emerging technologies and analytical best practice.
- Work collaboratively with operational teams, IT and other key stakeholders to support a strong data‑driven culture.
- Significant experience in data analysis, reporting and insight, with strong analytical and problem‑solving skills to identify trends, risks, opportunities and root causes.
- Advanced Power BI skills, including dashboard development, data modelling, DAX, visual storytelling and knowledge of governance/self‑service reporting, alongside strong Excel capability.
- Experience using SQL or other query languages to interrogate and analyse data, ideally within a Data Hub, centralised analytics model or semantic model environment.
- Experience working with…
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