Introduction
The Research and Data Specialist position at the Dubai Business School (DBS) Centre of Excellence represents a premier career destination for analytical, data-driven professionals looking to influence public policy and corporate strategy. As the UAE accelerates its transition into a global knowledge economy, robust data verification, comparative economic benchmarking, and quantitative research serve as the backbone for sustainable regional development and regulatory reform.
Operating from our advanced academic and corporate hub in Dubai, United Arab Emirates, this permanent, full-time role sits at the intersection of classical research methodology and cutting-edge digital intelligence. The position provides high-visibility exposure to cross-sector stakeholders, focusing specifically on dynamic areas like global logistics, trade, and economic policy assessment.
This specialized operational tract is tailor-made for professionals who possess a strong analytical mind and the modern capacity to leverage artificial intelligence (AI) frameworks to automate, scale, and optimize dense data analysis workflows.
Job Overview
- Position Title: Research and Data Specialist
- Organization: Dubai Business School (DBS)
- Department: Centre of Excellence
- Location: Dubai, United Arab Emirates (UAE)
- Job Category: Research / Data Analytics / Public Policy
- Employment Type: Permanent, Full-Time
- Application Status: Open
- Posted Start Date: June 10, 2026
- Expiration Date: July 10, 2026
About Dubai Business School
Dubai Business School (DBS) stands as a prominent pioneer in business education, leadership cultivation, and actionable economic research within the Middle East. Through our dedicated Centers of Excellence, we bridge academic frameworks with real-world private sector implementation, working alongside government entities, multi-national corporate partners, and institutional stakeholders to develop progressive policies and sustainable management models.
We harbor an agile, international working workspace where digital acceleration, inclusivity, and client-centric relationship models remain central to our organizational identity. By empowering our support staff and research networks with modern technical tools, we maintain a vibrant academic ecosystem dedicated to global administrative and scientific excellence.
Minimum Requirements
To claim a seat within the Dubai Business School operational division, applicants must fulfill the following preferred credentials and competencies:
- Educational Background: A Bachelor’s or Master’s degree in Public Policy, Data Analytics, Economics, Business, Statistics, Supply Chain, or a closely related quantitative field.
- Professional Experience: A minimum of 2 years of proven data or research experience spanning academia, the public sector, or private industries. High-speed corporate environments (e.g., management consulting, logistics, or maritime trade sectors) are strongly preferred.
- Technical & Digital Literacy: Complete mastery of advanced Excel, data visualization software, and analytical tools. Candidates must demonstrate the proficiency to leverage AI tools to automate and enhance research efficiencies.
- Language Proficiency: Full professional fluency in English (written and verbal); professional fluency in the Arabic language is highly preferred.
- Academic Publication Exposure: Previous hands-on experience navigating the formal academic publication or peer-review process is considered a significant asset.
Role Responsibilities & Purpose
The Research and Data Specialist will drive evidence-based decision-making and support policy reform through targeted day-to-day operations:
1. Advanced Qualitative & Quantitative Research
- Design and execute robust empirical research initiatives to support ongoing national policy development and structural economic reform agendas.
- Perform thorough international benchmarking studies and comparative macroeconomic structural analyses.
2. End-to-End Data Lifecycle Management
- Systematically collect, clean, validate, and parse raw operational, financial, and industrial data blocks.
- Maintain integrity-rich research databases, regional data matrices, and secure institutional knowledge repositories.
3. Analytical Reporting & Brief Generation
- Translate complex statistical models into actionable policy briefs, analytical executive summaries, publishable research reports, and clean presentations.
- Conduct thorough post-implementation impact assessments and program evaluation studies.
4. Stakeholder Consultation & Workshop Integration
- Develop educational support assets and co-facilitate professional workshops, strategic roundtables, and academic focus groups.
- Collect, consolidate, and analyze qualitative participant feedback to refine subsequent policy recommendations.
Performance Criteria
The operational success of the Research and Data Specialist will be tracked using the following key performance indicators (KPIs):
- Output Quality & Accuracy: Delivery of error-free, methodologically sound research papers, data visual models, and briefs.
- Project Timeline Compliance: Consistent fulfillment of critical data deliverables and milestone timelines.
- Analytical Reporting Impact: Clear, logical, and authoritative translation of raw statistics into actionable regulatory recommendations.
- Stakeholder Support: Providing seamless technical and administrative backing for multi-sector engagement sessions.
What We Offer
Dubai Business School provides a supportive corporate framework designed to empower analytical specialists:
- Intellectual Freedom: Access to comprehensive datasets and high-visibility national policy research tracks.
- AI-Driven Workspace: An environment that encourages and scales the practical optimization of machine learning and generative AI workflows.
- Financial Package: A competitive tax-free salary structured alongside institutional benefits.
- Career Advancement: Structured progression pathways leading toward Senior Policy Advisor, Lead Data Economist, or Academic Directorship roles.
Recruitment Journey
We follow objective, transparent assessment criteria to welcome elite analytical profiles into our ranks:
- Profile Verification: Evaluation of academic background, technical analytics exposure, and publication history.
- Technical Assessment: A timed case study evaluating raw data cleaning, advanced spreadsheet analytics, and brief formulation.
- Academic Interview: A deep-dive panel discussion focusing on research methodology, sector insights, and AI workflow integration.
Equal Opportunity Notice: Dubai Business School evaluates all qualified applicants entirely based on individual merit, professional skills, and historical performance, maintaining an inclusive workspace free from discriminatory bias.
How to Apply
- Ensure your attached curriculum vitae explicitly emphasizes your quantitative software stack, research history, publication records, and experience within the consulting, trade, or logistics domains.
- Submit your application files via the centralized DBS portal link above prior to the closing date on July 10, 2026.
Frequently Asked Questions (FAQs)
1. What academic background is preferred for this specialist role?
Candidates with degrees in Public Policy, Data Analytics, Economics, Statistics, or Supply Chain Management are highly preferred due to the technical demands of our Centre of Excellence projects.
2. How is AI integrated into the responsibilities of this role?
The specialist is expected to leverage advanced artificial intelligence tools to automate programmatic research tasks, clean vast arrays of quantitative data, and accelerate reporting workflows.
3. Is an academic publication history required?
While not an absolute mandatory requirement, candidates who possess clear familiarity with the peer-review and academic journal publication framework will be prioritized.
4. What industries provide the best background experience for this role?
Fast-paced domains such as management consulting, public sector policy centers, or key players within the global shipping, trade, and logistics infrastructure provide an ideal background.
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