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Senior Analyst, Forecasting, Pacing & Commercial Modelling
Location
Australia
Posted
118 days ago
Salary
0
Seniority
Senior
Job Description
Senior Analyst, Forecasting, Pacing & Commercial Modelling
Keypath Education
• Own the APAC enrolment forecast across partners and study periods. • Maintain and refine forecasting methodology, assumptions, and scenario architecture. • Lead rolling forecasts, study-period reporting, and variance analysis. • Publish forecast packs and run reviews with Sales, Marketing, and Finance. • Develop the annual enrolment forecast aligned to the FY budget. • Build automated pacing tools for intra-period performance tracking. • Run scenario modelling for promotions, pricing, channel mix, and capacity. • Translate demand scenarios into commercial, operational, and workforce implications. • Lead financial modelling for new programs, markets, and delivery models. • Support pricing strategies, ROI assessments, business cases, and margin optimisation. • Maintain long-range planning models aligned to growth and investment priorities. • Convert early-stage concepts into robust, defensible commercial models. • Monitor performance of newly launched products and programs. • Lead post-implementation reviews comparing outcomes against forecast, ROI, and assumptions. • Convert enrolment forecasts into staffing needs with Workforce Planning. • Align modelling assumptions across Sales, Marketing, Product, and Finance. • Partner with Data Engineering to ensure automation and data reliability. • Enhance automation and quality control across forecasting and commercial models. • Maintain the Forecast & Modelling Playbook. • Coach leaders on forecast interpretation, pacing metrics, and scenario usage. • Foster a culture of analytical rigour and innovation.
Job Requirements
- Bachelor’s degree in Analytics, Data Science, Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- Postgraduate qualifications (e.g., Master’s in Applied Analytics, Finance, or Econometrics) are advantageous but not essential.
- 8+ years in forecasting, demand modelling, or financial/commercial analytics.
- Proven experience building enterprise forecasting frameworks and scenario models.
- Strong background in financial modelling for new products, pricing, markets, and ROI analysis.
- Experience developing automated pacing dashboards and intervention models.
- Confident communicator capable of influencing senior stakeholders.
- Experience partnering with Sales, Product, Marketing, and Finance on forecasts and pacing strategies.
- Experience working with Data Engineering on automation and data pipelines.
- Education sector experience beneficial but not essential.
- PL‑300 Power BI certification advantageous.
- Advanced forecasting, scenario modelling, and financial modelling (Excel essential; Python/R optional).
- Strong Power BI capability (dashboards, forecast packs, performance reporting).
- SQL proficiency and experience with cloud data platforms (e.g., Microsoft Fabric).
Benefits
- Opportunity to work in office, hybrid or remote.
- All the necessary equipment for success.
- Internet Allowance for remote work.
- Paid Mental Health days for your well-being.
- Access to LinkedIn Learning.
- Learning Labs designed to promote L&D.
- Toolkits for Digital Health and Mental Health support.
- Employee led programs such as Culture Club, Team Green, Sustainability and more.
- Company events and activities run in office and remotely.
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