Position Summary The Techno-Economic Analyst plays a critical role in evaluating the commercial viability of emerging technologies across multiple industries. This position bridges technical innovation and market opportunity by conducting rigorous Techno-Economic assessments (TEA), developing business models, and validating market assumptions. Operating within deep-tech and R&D-intensive environments, the Techno-Economic Analyst works closely with researchers, commercialization leads, and industrial partners to translate scientific innovation into scalable, investable, and market-aligned opportunities.
Major Responsibilities Design and execute comprehensive Techno-Economic Assessments (TEA) for early-stage and emerging technologies. Conduct Business Model Canvas analysis for emerging technologies to define value propositions, customer segments, revenue streams, cost structures, and key partnerships. Develop and implement:Bottom-up cost modeling Supply chain analysis Sensitivity and scenario analysis Evaluate scale-up pathways, identifying technical, operational, and financial requirements for commercialization. Develop commercially viable business models aligned with market and industry needs. Perform preliminary market research, including market sizing, competitor landscape analysis, and customer segmentation. Identify and source external subject-matter experts to validate assumptions, cost models, and market findings. Plan and execute market validation tests with industrial partners to verify business case assumptions and technology-market fit. Collaborate closely with research teams to translate technical developments into economically viable solutions. Prepare reports, financial models, and presentations for internal and external stakeholders.
Personal Requirements Competencies Strong analytical and quantitative modeling skills Commercial acumen and strategic thinking Ability to translate technical concepts into economic insights Financial modeling and cost analysis expertise Market research and competitive intelligence capability Scenario planning and risk assessment Stakeholder engagement and communication skills Ability to work effectively under uncertainty and ambiguity Cross-functional collaboration skills Structured problem-solving approach Qualifications Bachelor’s or master's degree in engineering, Economics, Finance, Business, Industrial Engineering, or related fields. Additional certification or training in financial modeling, Techno-Economic analysis, or business strategy is an advantage. Experience6+ years of experience in Techno-Economic modelling, financial analysis, strategy consulting, venture analysis, or innovation commercialization. Demonstrated experience building financial models from first principles. Experience supporting commercialization, venture creation, licensing, or deep-tech innovation. Exposure to R&D-intensive or emerging technology environments. Experience engaging with industrial partners, investors, or external experts is highly desirable. Exposure to sectors such as energy, sustainability, biotechnology, advanced materials, AI, or climate technologies is advantageous.