Job Description
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.
n
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.
n
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.
n
Main Duties and Responsibilities:
n
n
Maintains positive working relationships with peers through clear, respectful communication that promotes PRA Australian culture
n
Works with internal/external stakeholders, participates in business meetings when required
n
Engages in the monthly one‐on‐one processes by providing feedback and identifying opportunities for development
n
Complies with PRA Australia's corporate policies and procedures
n
n
Business Performance:
n
n
Partners with analytics team to ensure predictive scoring models/strategies align with business objectives, strategies, and requirements
n




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

📌 Senior Data Analyst - Collections (Queensland)
🏢 PRA
📍 Queensland