Data Analyst, Service Integrity

Role Overview

The Data Analyst will provide accurate and comprehensive data sets to support investigations, working collaboratively with cross-functional teams. This role requires a strong understanding of data analysis, data management, and the ability to work collaboratively with stakeholders.

What You Will Do

The successful candidate will assist, participate, and investigate data related inquiries, identify trends, patterns, and anomalies in data sets, and create and present detailed reports and visualisations to communicate findings effectively.

Why It Might Be a Fit

The ideal candidate will have experience working in large and complex environments, with a practiced understanding and application of contemporary reporting and analytics tools and techniques, and strong stakeholder management skills.

Requirements

• At least 5 years of experience developing SQL scripts in Oracle or SQL Server (Azure) with strong experience in MS Excel
• Knowledge of life insurance and superannuation domain is must
• Proficiency in data analysis tools and software (e.g., SQL, Excel and Snowflake)
• Ability to articulate issues surrounding business, operational and technical risk management
• Proven ability in taking strong ownership of deliverables and work with a team of analyst to deliver reports that highlights issues / errors in application of business rules
• Developed organisation and planning skills with the ability to deal with demanding workloads prioritise and meet strict deadlines
• Exceptional attention to detail, time management and organisational skills
• Commercial, risk aware and outcomes focused
• Ability to build relationships between teams, departments, units internally and externally to support the achievement of the team and business goals
• Highly developed organisational skills and take ownership of deliverables to produce detailed, accurate and timely reports
• Excellent communication skills
• Promote a culture of risk awareness and proactive identification of potential issues
• Coach and upskill team members in knowledge share and brown bag sessions

Benefits

• Flexible and Hybrid Working
• Purchased Leave
• Parental Leave
• Volunteer Leave
• Gender transition leave
• Well-being leave
• Employee Recognition Program
• Talent Referral Program
• Salary Sacrificing via Superannuation
• Employee Assistance Program
• Learning & Development
• Employee discounts

Tagged as: Data Analysis