Senior Analyst, Forecasting – Commercial Modelling

Jobtailor; Deutschland; Hybrid; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Jobtailor seeks a senior forecasting and analytics leader to own enrolment forecasting across university partners and study periods. You will develop methodologies, deliver rolling forecasts, perform variance analyses and present recommendations to senior stakeholders.

You will drive annual forecasting cycles, build real-time pacing tools, and translate trends into workforce, operational and financial insights with Excel, Power BI and Python.

Qualifikationen

• Bachelor's degree in Analytics, Data Science, Economics, Finance, or related quantitative field.
• 8+ years' forecasting, commercial analytics, financial modelling or demand planning experience.
• Proven success building enterprise forecasting frameworks and scenario modelling.
• Deep experience in financial modelling, ROI analysis, pricing strategy and investment evaluation.
• Strong track record in performance tracking and predictive analytics initiatives.

Aufgaben

• Own and maintain the enrolment forecasting framework across university partners and study periods.
• Develop, refine and continuously improve forecasting methodologies and scenario models.
• Deliver rolling forecasts, variance analyses and performance reporting.
• Prepare forecast reviews and recommendations for senior stakeholders.
• Drive annual enrolment forecasting processes to support budget cycles.
• Develop automated pacing tools for real-time visibility into performance.
• Identify risks and opportunities through scenario analysis and modelling.
• Translate trends into workforce, operational and financial insights.

Kenntnisse

Forecasting

Commercial Analytics

Demand Planning

Statistical Analysis

Excel Proficiency

Communication

Storytelling

Executive Presentation

Ausbildung

Bachelor's Degree in Analytics

Tools

Power BI

Microsoft Fabric

SQL Proficiency

Data Engineering Tools

Automation Tools

Jobbeschreibung

• Own and maintain the APAC enrolment forecasting framework across university partners and study periods
• Develop, refine and continuously improve forecasting methodologies, assumptions and scenario models
• Deliver rolling forecasts, variance analysis and study-period performance reporting
• Prepare and present forecast reviews and recommendations to senior stakeholders
• Drive the annual enrolment forecasting process to support budget and planning cycles
• Develop automated pacing tools providing real-time visibility into enrolment performance
• Identify risks and opportunities through scenario analysis and predictive modelling
• Evaluate the commercial impact of pricing changes, marketing initiatives, operational capacity and channel performance
• Translate enrolment trends into workforce, operational and financial insights
• Build commercial and financial models for new programs, partnerships and market expansion opportunities
• Assess business cases, pricing strategies, investment decisions and ROI scenarios
• Support long-term strategic planning through growth and revenue modelling
• Monitor and analyse newly launched products and initiatives
• Lead post-implementation reviews against forecasts, assumptions and commercial expectations
• Identify optimisation and continuous improvement opportunities
• Partner with Workforce Planning to translate enrolment forecasts into staffing plans
• Align modelling assumptions and performance measures across Sales, Marketing, Product and Finance
• Collaborate with Data Engineering on automation, scalability and data quality improvements
• Enhance forecasting processes, automation and quality assurance frameworks
• Maintain forecasting standards, documentation and modelling best practices
• Coach business leaders on forecast interpretation, scenario planning and data-driven decision making
• Champion analytical rigour and continuous improvement across the organisation

Requirements

• Bachelor's degree in Analytics, Data Science, Economics, Finance, Statistics, Mathematics or a related quantitative discipline
• 8+ years' experience in forecasting, commercial analytics, financial modelling or demand planning
• Proven success developing enterprise forecasting frameworks and scenario modelling approaches
• Deep experience in financial modelling, ROI analysis, pricing strategy and investment evaluation
• Strong experience building performance tracking, pacing or predictive analytics solutions
• Ability to influence and communicate effectively with senior stakeholders
• Experience partnering with cross-functional teams across Marketing, Sales, Product and Finance
• Exposure to data engineering, automation initiatives and modern data platforms
• Advanced forecasting, statistical analysis and commercial modelling capability
• Expert-level Excel skills with strong financial modelling experience
• Advanced Power BI skills including dashboard development and executive reporting
• SQL proficiency and experience working with modern cloud-based data environments such as Microsoft Fabric
• Experience using Python and/or R will be highly regarded
• Strong presentation, storytelling and executive communication skills
• Exceptional attention to detail, critical thinking and numerical reasoning
• Applicants must be based in Australia and hold unrestricted working rights
• Preferred candidates may be required to complete a police check and other pre-employment screening requirements
• Postgraduate qualifications in Analytics, Finance, Econometrics or a related field are advantageous
• Education or EdTech experience is desirable but not essential

Core Competencies

Demonstrates advanced capabilities in forecasting methodologies, financial modelling, and scenario analysis to drive strategic planning and decision-making. Proficient in collaborating with cross-functional teams and presenting insights to senior stakeholders.

Highest-signal resume keywords

• Forecasting Methodologies
• Financial Modelling
• Predictive Analytics
• Advanced Excel Skills
• Power BI Dashboard Development

Hard Skills

• Forecasting
• Commercial Analytics
• Demand Planning
• Statistical Analysis
• ROI Analysis
• Pacing Solutions
• Scenario Modelling
• Data Analysis
• SQL Proficiency
• Python

Soft Skills

• Effective Communication
• Critical Thinking
• Attention to Detail
• Storytelling
• Influencing Skills

Certifications & Qualifications

• Bachelor's Degree in Analytics
• Postgraduate Qualifications in Analytics

Industry Keywords

• EdTech
• Commercial Impact
• Enrolment Forecasting
• Market Expansion
• Cross-Functional Collaboration

Tools & Technologies

• Power BI
• Microsoft Fabric
• Data Engineering Tools
• Automation Tools