Data Analyst with Python

6 days ago

Sydney, New South Wales, Australia Hastha Solutions Full time
Overview

Data Technical Analyst with Python & R Skills, SQL - Contract - Sydney

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
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 7+ 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)
Details
  • Duration: 06 months and possible extension
  • Eligibility: Australian/NZ Citizens/PR Holders only
Location

Sydney, New South Wales, Australia


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