Analyse operational data across Customer Care, Validations, and Claims referrals to identify trends and opportunities for improvement.
Build and maintain dashboards and reports that monitor policy exceptions, referral outcomes, and quality assurance metrics.
Support data feeds, reporting structures, and automation initiatives that improve operational efficiency within Customer Care.
Work on projects that use data and automation to streamline operational processes and enhance decision making.
Collaborate with operational teams to translate analytical findings into clear actions that improve customer outcomes and reduce risk.

Strong analytical mindset with experience using Excel or Google Sheets.
Knowledge of SQL and data visualisation tools (e.g. Tableau or similar).
Experience using Python for data analysis or automation.
Experience querying and analysing large datasets within a cloud data environment (e.g. Databricks or similar Cloud Data Platforms).
Ability to interpret complex data and translate findings into clear, actionable insights.
Strong attention to detail with the ability to identify patterns, anomalies, and inconsistencies in data.
Familiarity with AI or automation tools is beneficial.
Excellent communication skills with the ability to explain analytical findings to both technical and non-technical audiences.

Hybrid working, with a mix of home and office days.
Access to learning resources, mentorship and a growth plan tailored to you.
Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Data Analyst

Key skills