Urgent requirement of
Data Analyst with Python & R Skills, SQL - Contract - Sydney
Requirements
* 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
•
Key skills:
•
Risk Mindset
– All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks;
•
Data & Analytics –
Advanced analytical, numerate and logical reasoning skills, with extensive relevant experience in using complex data and analytics to drive business results;
•
Stakeholder Management
– Demonstrated ability to translate complex concepts into simplified stakeholder key messages and present to senior leaders;
•
Commercial acumen
– Ability to plan and manage multiple time critical projects with an understanding of business value, effective prioritisation and decision making;
•
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, Engineering or Sciences).
Duration: 06 months
and possible extension
*Eligibility:*
Australian/NZ Citizens/PR Holders only
*Email: *