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A charitable organization focused on lifesaving is seeking a Lead Data Support Analyst to manage data services at their Support Centre in Poole. This on-site role requires leading a data service desk, overseeing monitoring and recovery, and collaborating with engineering and vendors. Ideal candidates will have experience in data service management, knowledge of platforms like Power BI and Databricks, and a strong understanding of incident management. This position offers a flexible working environment, a competitive pension, and generous leave benefits.
Our purpose is simple: to save lives at sea. For 200 years, our lifeboat crews and lifeguards have shown selfless courage to rescue those in peril on the water. Behind them is a dedicated, talented team making it all possible. This is your chance to join that team and use your skills to help save lives every day.
We’re building a dependable, modern data service so RNLI data users can trust the information they use to make decisions quickly and safely. As Lead Data Support Analyst, you’ll own the day‑to‑day run and operation function for our data estate. You’ll lead our L1/L2 Data Service Desk, set service standards and SLAs, and drive continuous improvement so outages reduce and recoveries are faster. You’ll steward major incident recovery for data services and turn lessons into robust runbooks, knowledge articles, and platform improvements—working closely with Engineering, Integration, BI, IT Service Management, and key suppliers.
You’ll oversee reliability and support for a modern stack that includes Power BI, Databricks, Azure Service Bus, SnapLogic, Gravitee, and observability tooling—ensuring monitoring and alerting are effective and common tasks are automated.
This is primarily an on‑site role at our Support Centre in Poole (minimum three days a week) and shift‑based. Shifts rotate between:
Due to the 24/7 nature of our lifesaving service, flexibility is essential. We’ll work with you to accommodate personal circumstances where possible.
You’re a practical service leader who enjoys solving operational data challenges and making things better every week. You’ll bring: