Modelling Analyst

Dubai, United Arab Emirates

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Here are some of the perks and rewards:

Full-time position to look after AMEA business based in Dubai, UAE.
Competitive compensation package.
Annual bonus program.
Industry-leading benefit plans including medical and travel allowances.
25 days Paid leave plus paid public holidays.
Fluent in English.
Continuous training and development with career growth opportunities.
Safety-focused culture.
Offered Compensation: Yearly Base Salary: AED 200,000 to AED 240,000 with Signing Bonus: Negotiable and Benefits (Dental Insurance, Medical Insurance, Vision Insurance, Paid Time Off) with Yearly Bonus (20% target bonus to 40% Max).

Must-Haves:

Roles & Responsibilities:

Develop robust, repeatable models that can be scaled globally to assess the economics of complex electrical systems comprised of conventional generators, renewables, and energy storage, either for grid-connected or off-grid applications.
Support the Application Engineering Team and Business Development Managers (BDMs) in proposals and bids by providing economic analyses, system sizing.
Assist BDMs with clarification of Scope of Work (SOW) on solution design and system layout.
Perform system simulations and modelling based on energy generation and consumption information and data.
Support the Bid Team with their pricing models for battery/solar products and hybrid solutions.
Presentation/discussion of results with BDM and customers.
Coordination of work efforts with our other teams.
Point of contact within sales process regarding e.g. system sizing, feasibility analyses, technical validation.
Implementation and use of simulation methods & tools for technical scope.
Support the portfolio of modelling tools within the Modelling Team.

Skills and Experience:

Completed studies e.g., in mechanical engineering, electrical engineering, business, finance or energy economics.
Substantial experience in the energy sector, preferably with a solar or wind developer or grid-scale energy storage vendor.
Profound knowledge in power systems studies, power systems components and the modelling thereof as well as battery storage technology.
Experience in putting together commercial proposals and presentations.
Excellent command of Microsoft Office suite (Word, Excel, PowerPoint, etc.).
Ability to use modelling software (e.g. Analytica, HOMER Pro, PVSyst, HelioScope, WindSim, Openwind) is a plus.
Familiarity with Python programming language is a plus.
Ability to learn new software and develop models of distributed energy resources.
Customer/project focus, commitment to deadlines and quality of documentation.
Strong team player.
Excellent analytical skills.
Excellent interpersonal skills.
Excellent communication skills.
Ability to work over multiple levels of organizations.
International experience beneficial.
Fluent in English

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