Responsibilities
* Act as a primary point of contact for data requests, including reporting, analysis, ad‑hoc queries, and changes to business processes or client set‑ups.
* Deliver timely ad‑hoc reporting and data extracts to internal and external stakeholders, focusing on broker and commercial team requirements.
* Translate business requirements into clear technical specifications and produce reporting solutions using tools such as SSRS and Power BI.
* Support the maintenance and integrity of the Data Warehouse by performing regular checks, identifying issues, and working with relevant teams to resolve them.
* Build strong relationships with the Data Warehouse team to ensure effective, appropriate use of data across the organisation.
* Collaborate with colleagues to automate or streamline data‑related tasks, providing expert support (including advanced Excel usage).
* Proactively identify opportunities to improve data accuracy, consistency and governance.
* Act as a role model for responsible data use, ensuring compliance with regulatory requirements and Healix values.
Required Qualifications
* Previous experience in a Data Analyst or similar analytical role, working with complex datasets.
* Strong Excel skills (including formulas, PivotTables and lookups).
* Working knowledge of SQL for data extraction and analysis.
* Understanding of data protection and information governance, including GDPR and the Data Protection Act 2018.
* Strong analytical and problem‑solving ability, with attention to root cause analysis.
* Ability to manage priorities and deadlines independently.
* High attention to detail and a strong focus on data accuracy.
* A professional, values‑driven approach when handling sensitive information.
Desired Qualifications
* An interest in automation, process improvement or developing analytical best practice.
* Experience within health insurance, trusts, or regulated financial/health environments.
* A mathematical, numerical or analytical academic background.
* Experience producing reports and dashboards using SSRS, Power BI or similar tools.
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