Data Analyst

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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