Live opening · Posted 1 day ago

Commercial Analyst

Department of Artificial Intelligence & Machine Learning, DSCE · United Arab Emirates (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyDepartment of Artificial Intelligence & Machine Learning, DSCE
LocationUnited Arab Emirates (Remote)
Work modeYes
SourceLinkedin
ListedPosted 1 day ago

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About the role

Description supplied by the original job listing.

Role Description The Commercial Analyst is a part-time remote role responsible for supporting commercial and financial decision-making within the department’s initiatives and collaborations. Day-to-day tasks include analyzing financial and operational data, preparing commercial reports and dashboards, and evaluating costs, revenue streams, and pricing models for projects and partnerships. The role involves interpreting data trends, providing recommendations to improve financial performance, and supporting budget planning and forecasting activities. The analyst will communicate findings to faculty and project stakeholders, contribute to proposals or grant applications, and help ensure that commercial considerations align with academic and research objectives.
Qualifications
Strong analytical skills, including the ability to work with quantitative data, perform trend analysis, and draw clear insights.
Commercial and finance skills to assess project viability, support budgeting, and contribute to pricing and revenue optimization.
Effective communication skills to present complex information clearly and collaborate with academic, administrative, and industry stakeholders.
Customer service orientation to support internal and external partners with timely, accurate information and responsive collaboration.
Proficiency with spreadsheets and data analysis tools (e.g., Excel, Google Sheets; familiarity with BI tools or basic statistics is a plus).
Ability to work independently in a remote setting, manage multiple tasks, and meet deadlines with minimal supervision.
Bachelor’s degree or current enrollment in Business, Finance, Economics, Data Analytics, Engineering, or a related field; experience in academic or research environments is an advantage.
Interest in Artificial Intelligence and Machine Learning, and willingness to learn domain-specific concepts relevant to commercial analysis.

Work arrangement
Yes

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