The Analytics Manager is responsible for maintaining, enhancing and governing Allied Credit’s pricing model and related analytical tools. The role supports robust commercial decision-making by curating and refining pricing data, automating data flows between enterprise data warehouses and pricing tools, and developing scalable Python-based models, applications, artificial intelligence and machine learning solutions, and business intelligence reporting using Power BI. The role will also be central to the design, evaluation, testing and implementation of a pricing application or pricing engine, whether purchased from a vendor or built internally, ensuring business requirements, pricing logic, model governance and user experience are appropriately translated into the final solution.

Working closely with Sales, Finance, Risk, Technology and external vendors, the Analytics Manager will build and support user-friendly pricing interfaces, dashboards and reporting outputs, support sales interaction with pricing outcomes, and enable integration of pricing model outputs into FP&A; processes including forecasting, budgeting, profitability analysis and management reporting.

Key Responsibilities

- Maintain, enhance and govern the pricing model to ensure it remains accurate, fit-for-purpose and aligned to business, finance and risk requirements.
- Curate, collect and refine data inputs required to support pricing analytics, model calibration, scenario analysis and ongoing performance monitoring.
- Automate data flows between enterprise data warehouses and pricing tools to improve efficiency, control, repeatability and scalability of pricing processes.




- Support the assessment, design, testing and implementation of a pricing application or pricing engine, including requirements definition, vendor evaluation, business rules validation, user acceptance testing and transition into business-as-usual processes.
- Design, build and maintain Python-based pricing models that support robust product pricing, profitability analysis and commercial decision-making.
- Develop related analytical tools, calculators, Power BI dashboards and reporting outputs to support pricing strategy, portfolio analysis and business performance management.
- Identify, design and implement practical AI and machine learning use cases to improve pricing analytics, forecasting accuracy, automation, decision support and operational efficiency.
- Build user-friendly interfaces that enable Sales teams to interact with pricing tools, assess pricing outcomes and support customer and introducer conversations.
- Partner with the Finance team to integrate pricing model outputs into FP&A; processes, including forecasting, budgeting, profitability analysis and management reporting.

Knowledge, Qualifications, Experience, Skills

- Advanced Excel capability, including the ability to develop,



maintain and interrogate complex models, reports and analytical tools.
- Robust Python skills, with experience applying programming techniques to automate processes, analyse data and support scalable reporting solutions.
- Experience with relevant Python libraries and frameworks, including PyQt, xlwings, Streamlit and Dash, to support model development, automation, user interfaces and analytical tools.
- Experience developing and maintaining business intelligence dashboards and self-service reporting solutions using Power BI.
- Demonstrated financial modelling experience, including the ability to structure, validate and interpret models that support commercial decision-making.
- Sound understanding of financial mathematics, including the ability to apply quantitative techniques to pricing, profitability and portfolio analysis.
- Experience using data science concepts and analytical techniques to identify trends, generate insights and improve business outcomes.
- Hands-on experience implementing AI and machine learning solutions, including model development, deployment considerations, performance monitoring and translation of outputs into business decision-making.
- Practical experience in product pricing, preferably within a financial services, lending or asset finance environment.
- Tertiary qualification in a STEM-based discipline, Economics, Actuarial studies, Engineering, Mathematics or a related field.
- Consulting and/or financial services background, with the ability to translate complex analysis into clear commercial recommendations.

📌 Analytics Manager (Macquarie Park)
🏢 Allied Credit Group
📍 Macquarie Park