Senior Data Technical Analyst

4 weeks ago

Sydney, New South Wales, Australia INNOVATE IT AUSTRALIA Full time
Data Analyst with Python & R Skills, SQL

Responsibilities

  • Working collaboratively in cross-functional Scrum teams with Product, Analytics and BB remediation colleagues, 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
  • 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 provide data-driven advice to business partners
  • 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 and 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)

Seniority level

  • Mid-Senior level

Employment type

  • Contract

Job function

  • Information Technology

Industries

  • IT Services and IT Consulting

Location information and posting details are part of the job listing but are not required for the core responsibilities.


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