Data Analyst

Looking for a Data analysts with SQL, Python and R knowledge.

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
• Using advanced business acumen, you will translate complex business requirements and objectives into technical briefings, analytical processes and outcomes which may be subject to external regulator review
• Support peers with quality assurance (QA) reviews;

Required experience:

• Minimum 5+ 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;