Senior Data Technical Analyst

6 days ago

Sydney, New South Wales, Australia INNOVATE IT AUSTRALIA Full time $120,000 - $150,000 per year

Job Description

Must Have Skill:

Data Analyst with Python & R Skills, SQL

Responsibilities


• Working collaboratively in cross-functional Scrum teams with Product, Analytics and BB

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;


• Lead customer projects and initiatives by liaising with analytical and non-analytical business

partners across the department


• Designing & building continuous improvements that optimise the accuracy and effort for

remediations


• and regulatory changes, ensuring compliance with relevant standards


• Foster a positive team culture that encourages innovation, accountability and continuous

improvement

Skills & Experience

The role requires a diverse set of skills including technical, people and critical thinking.

Required experience:


• 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, Engineering or Sciences)

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