A growth focused position centred around the continuous development of business optimisation and collection performance; responsible for assisting in the maintenance and management across automated platforms developed in SAS – including data modelling and predictive analytics.
The analyst will work closely with internal stakeholders within a small team to provide strategic insights and changes under a Question, Data, Analysis and Insights framework (QDAI) – focusing in continuous process improvement and automation.
Furthermore, the analyst will also work closely with key internal stakeholders where detailed analysis and reporting is required on an ad‐hoc basis; prioritising these requests with the wider strategic objectives and management stakeholder expectations.
Main Duties and Responsibilities:
Maintains positive working relationships with peers through clear, respectful communication that promotes PRA Australian culture
Works with internal/external stakeholders, participates in business meetings when required
Engages in the monthly one‐on‐one processes by providing feedback and identifying opportunities for development
Complies with PRA Australia's corporate policies and procedures
Business Performance:
Partners with analytics team to ensure predictive scoring models/strategies align with business objectives, strategies, and requirements




Works independently and/or directly with business leaders to implement strategic changes to underlying automation under a continuous improvement cycle
Participates in the Question, Data, Analysis, Implications (QDAI) cycle to provide strategic insights; continuously challenging "Business as Usual" (BAU)
Keeps abreast of industry changes, "Best in Class" approaches, including their applicability to PRA Global
Strategy Monitoring and Reporting:
Develops, maintains and reviews reporting across the PRA Australia Power BI platform
Capitalizes on data to provide sound business recommendations and decisions
Able to build predictive modelling in both SAS and SQL with a minimum of Operational input
Experience/Qualifications
Significant experience in SQL
Expert skills in SAS/Python or R programming language
Robust or advanced skills in Excel
Strong analytical and problem‐solving skills with a proven ability to conduct root cause analysis across complex business processes with a minimum of operational input
Experienced application and management of predictive modelling methods/frameworks
Sound communication skills with the ability to persuade, influence and built rapport with others
An interest in imparting specialist knowledge and build capacity in others across the business
Tertiary qualifications in business, statistics, or Information Technology
Knowledge in retail credit and receivables management
Expert knowledge in Power BI or SQL Server Reporting Services (SRSS) programs
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📌 Senior Data Analyst - Collections (Brisbane)
🏢 PRA
📍 Brisbane