Data Analyst
1 week ago
Experience: 5+ years
Location: Sydney, Australia - Hybrid
Eligibility: Candidates must have the right to work in Australia (Citizen, PR, Valid Visa holders).
Responsibilities
- Working collaboratively in cross-functional Scrum teams with Product, Analytics and Remediation colleagues, you will be responsible for leveraging the Group's data assets to review risk issues and support end-to-end remediation of business customers
 - Develop
analytical solutions using SQL, Python and R
to improve risk-based outcomes for stakeholders - Undertake and automate data analytics across large datasets to identify customers requiring remediation and estimate financial impact to these customers
 - You will deliver to deadlines by managing multiple priorities in a fast-paced, agile environment
 - Develop data solutions to record remediation payment records
 - Present analytical insights to stakeholders up to the General Manager level to give advice to our business partners with data
 
Required experience
:
• Minimum 2+ years in Data Analytics or similar experience (e.g. actuary, pricing, or credit risk);
• Must have proven experience working with SQL to extract data from complex datasets;
• Extensive experience in using data driven analytics to develop dashboards, insights and recommendations.
• Ability to understand complex problems and take a structured approach using data-driven insights to solve;
• Experience with analytical tools and platforms such as R / Python and/or GitHub is preferred;
• Knowledge and experience in Banking (customers, products, systems, processes) is preferred;
• Experience with Agile tools and methodologies is preferred;
• Degree in relevant discipline (Actuarial, Statistics, Maths, Economics, Engineer
Please drop your CV to
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