Middle Market Forecasting & Analytics Engineer

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. They are seeking a Market Forecasting & Analytics Specialist to develop data-driven market forecasts and predictive models for a leading global healthcare organization, focusing on strategic decision-making across multiple markets.

Responsibilities:

• Develop market forecasting models based on assumptions, historical data, and external market signals
• Build short-, mid-, and long-term market forecasts for products across multiple markets
• Aggregate multi-country and multi-product data to produce consolidated market forecasts
• Develop technology adoption models (e.g., diffusion curves such as Bass models) to simulate competitive landscapes
• Design Excel-based decision-support models and forecasting tools (Excel + VBA)
• Integrate market research, CRM data, financial data, and public datasets into forecasting assumptions
• Develop machine learning forecasting models (Python preferred)
• Support scenario modelling and uncertainty analysis using statistical approaches
• Link Excel-based forecasting tools with data lake sources or data collection systems
• Support migration of Excel-based models to cloud-based analytics platforms
• Collaborate with business stakeholders to translate market insights into actionable forecasts and strategic recommendations

Requirements:

• 4+ years of experience in forecasting, market modelling, or advanced analytics
• Strong experience with market forecasting, demand forecasting, or predictive modelling
• Experience building assumption-based forecasting models
• Strong Excel modelling skills (including advanced formulas; VBA is a plus)
• Experience with Python for machine learning or statistical modelling
• Experience working with multiple datasets (market research, CRM, financial, public data)
• Strong understanding of statistical modelling and time-series forecasting techniques
• Experience working with multi-country / multi-market datasets
• Ability to translate analytical results into business insights and decision-support recommendations
• Experience with Monte Carlo simulations, Markov chains, or conjoint analysis
• Experience with technology adoption models (Bass diffusion models)
• Experience in pharma, healthcare, medtech, or consumer healthcare industries