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
- Strong or advanced skills in Excel
- Solid 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 (Queensland)
🏢 PRA
📍 Queensland