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Energy Market Modelling Analyst
Schneider Electric India Pvt. Ltd.
naukri
Gurugram
2-5 years
Not Disclosed
Full time
01 May 2026
Top Skills:
Renewable EnergyMarket ResearchData ManagementMachine LearningAnalyticsMarket AnalysisConsultingAutomationPythonRisk ManagementArticleBalancingBig DataData ManagementEconometricsEnergy TechnologyForecastingMarket AnalysisMarket IntelligenceMarket ResearchMicrosoft OfficeModellingPythonRenewable EnergyStatistical AnalysisUpstream

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Job Description iconJob Description
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The Cleantech team is seeking an Energy Market Modelling Analyst to support the team on market intelligence and energy price forecasting for countries across Asia Pacific. This role will: Track energy market trends (power and renewables), monitor regulatory and policy developments, and prepare market outlook reports and research articles to support consulting engagements. Evaluate the impacts and implications of policies and market designs on renewable energy assets, and develop long-term energy market scenarios. Develop and maintain models to forecast energy prices using complex statistical analysis and econometrics. Programming capabilities in Python, will be crucial to the success of this individual. Provide insights to our clients regarding price forecasts, risks, and drivers, and interact with clients to deliver results for consulting engagements and ongoing services.

Key Result Areas

Market Research Delivery of Market Outlook Reports Bring detailed knowledge and continue building knowledge in energy markets, including key political, economic, and regulatory developments as they relate to global energy markets Review and evaluate policies and regulations related to the energy and power sectors in countries across Asia Pacific, with a focus on renewable technologies and clean energy. Interact with and educate internal and external clients to help them understand energy market developments, drivers, and risks

Market Modelling Delivery of Forecasts

Collaborate heavily with team members to contribute to the development, maintenance, and enhancements of electricity and gas market models Contribute to the delivery and explanation of forecast results to internal and external clients through presentations, reports, and appropriate visualisation tools Bring knowledge and innovation to modelling and forecasting approaches, proving new ways to drive valuable insights to assist our clients in making successful strategic decisions

Big Data Management Analytics

Build on existing knowledge and experience with big data to find meaning and extract useful insights Innovate to find new ways to deliver and visualise data sets for our internal and external clients Perform ad-hoc analyses, both commissioned and self-driven, to improve forecasts, and gain insights into energy markets

Job Related Competencies

Quantitative Programming Acumen Bachelor Degree in Math, Statistics, Economics, Business, Finance, or a related technical field; Masters or PhD valued Experience with statistical methods and forecasting models with impeccable attention to detail Programming skills in Python Advanced computer experience in Microsoft Office Products, particularly Excel and PowerPoint Energy Market Knowledge 2-5 years of either energy market analysis experience, or software programming experience dealing with large quantitative data sets Knowledge of electricity market designs, dispatch mechanisms, power systems, renewable energy technologies Passion for gaining and sharing understanding of developments in energy markets, policy, supply/demand, upstream sectors, currencies, global markets, etc. Communication Relationship Acumen Excellent oral and written communication skills to achieve successful communications with internal and external clients Ability to build trust with internal and external clients, balancing complex technical expertise with the ability to explain things concisely and simply Strong problem-solving skills focused on suggesting and providing solutions to clients in an emotionally intelligent manner



Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.