46 Economic Analysis jobs in the United Arab Emirates
Data Analysis Specialist
Posted today
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We are seeking a highly motivated and detail-oriented individual to fill the role of Data Analyst.
- Collect, clean, and organize data from various sources.
- Perform basic data analysis and generate reports to identify trends and insights.
- Develop dashboards and visualizations using tools like Excel, Power BI, or Tableau.
- Work with structured and unstructured data to extract meaningful information.
- Collaborate with different teams to understand data needs and provide analytical support.
- Learn and apply statistical techniques, predictive modeling, and data storytelling.
- Document findings, methodologies, and best practices for future reference.
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Basic understanding of SQL, Excel, and data visualization tools (Power BI / Tableau).
- Knowledge of Python or R for data analysis is a plus.
- Strong analytical thinking and problem-solving skills.
- Attention to detail and ability to work with large datasets.
- Excellent communication and teamwork skills.
- Eagerness to learn new tools and technologies in data analytics.
Data Analysis Expert
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Etihad, the national airline of the UAE, has been a leading force in international travel since its inception in 2003. As part of our ambitious Journey 2030 strategy, we aim to double our fleet size and triple our customer base over the next six years.
Job SummaryWe are seeking a highly skilled Senior Analytics Specialist to join our team. The successful candidate will be responsible for analyzing and visualizing enterprise data resources, identifying opportunities for automation and improvement, and developing expertise in advanced analytics and database tools.
Key Responsibilities- Work with Analytics Managers and Business Engagement Partners to analyze requirements and design solutions to business problems
- Summarize and visualize results, highlighting likely insights for the business translator to develop
- Maintain documentation repositories of solutions, including methodologies
- Identify opportunities for automation and improvements to approach in each analysis performed, making recommendations to the wider team
- Develop and maintain proficiency with advanced analytic and database tools, in-house data sets, and other resources
- Diploma required (2 years or more)
- Additional qualifications in analytical disciplines and techniques an advantage
- Minimum of 3 years work experience (if Bachelor degree)
- Minimum of 7 years work experience in relevant field (if High School Certification or Diploma)
As a Senior Analytics Specialist with Etihad, you will have the opportunity to develop your skills and expertise in advanced analytics and database tools, work with a talented team of professionals, and contribute to the success of our ambitious Journey 2030 strategy.
OthersInterviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
Data Analysis Professional
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Job Title: Junior Data Analyst
- A top-tier hospitality group seeks a skilled data analyst in BI tools, Python, and R.
About the Position:
- Ensure accuracy, consistency, and quality by cleaning and preprocessing datasets.
- Create interactive dashboards and visual reports using Tableau or Power BI.
- Collaborate with senior analysts and stakeholders to understand their data needs.
- Present clear, compelling visualizations of key business metrics and insights.
Requirements:
- Bachelor's degree in Engineering, Data Science, or relevant field.
- At least 2 years experience in hospitality industry.
- Must have experience in BI tools, Excel, Python, R, and e-commerce platform.
Benefits:
- Full-time role focused on data accuracy and visualization.
- Salary up to AED; uniforms and duty meals included.
About the Company:
- A leading provider of luxurious services to pets while owners are away.
Data Analysis Expert
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This role is focused on applying advanced analytical techniques and statistical models to drive data-driven decision-making in financial markets. We are seeking a highly skilled and motivated Quantitative Finance Specialist to join our team.
The ideal candidate will have extensive knowledge in quantitative finance, focusing on FX or cryptocurrency trading. A strong foundation in Python programming and linear models, as well as proven experience in data mining, is required for this position.
Key responsibilities include:
- Collaborating with quantitative researchers to develop and refine trading models
- Applying expertise in quantitative finance to analyze complex data sets and extract meaningful insights
- Implementing and maintaining robust data analysis tools and algorithms using Python
- Conducting extensive data mining to identify new trading opportunities and trends in the FX and cryptocurrency markets
- Developing and testing linear and non-linear modeling techniques to improve predictive accuracy and model performance
- Preparing detailed analytics reports and communicating findings to stakeholders and team members to support data-driven decision-making
Requirements for the ideal candidate include:
- Proven experience as a Data Scientist with a strong background in Python programming
- Advanced knowledge in quantitative finance, particularly in FX or crypto trading
- Proficiency in linear models and their application in financial modeling
- Demonstrated experience in data mining and handling large, complex datasets
- Ability to work closely and effectively with quantitative researchers and other team members
- Strong analytical skills with a keen attention to detail
- Excellent communication and presentation skills
This position requires relocation to Dubai, UAE initially, so candidates must be willing to relocate.
Head - Data Analysis
Posted 24 days ago
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The Director of Data Analysis is responsible for collecting, processing, and analysing real estate data from various sources, with the aim of providing accurate, data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency, developing sector-wide performance indicators, and supporting policy formulation and investment planning based on data.
Responsibilities
- Collecting and analyzing real estate data from multiple sources
- Processing and cleaning data to ensure its accuracy, consistency, and readiness for analysis
- Analyzing real estate data to extract and update the real estate index, which enhances market transparency
- Preparing reports and dashboards to support strategic decision-making
- Developing sector performance indicators (e.g., price indices, supply and demand, occupancy rates, etc.)
- Supporting policy development and investment planning by providing data-driven recommendations
- Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
- Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market
Requirements
- Bachelor's degree in Economics, Statistics, Business Administration, Data Analysis, or a related field.
- 5 years of experience in data analysis or market research, with knowledge of the real estate market.
- Certifications in data analysis or economics are not required but are preferred
- Certifications in Data Analysis, such as RICS or CF
Chief Specialist - Data Analysis
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Job Overview:
Support the development of transportation strategies to optimize transportation systems and enhance the overall efficiency of transportation networks. The ideal candidate will have expertise in transportation planning, traffic engineering, and data analysis.
Key Responsibilities:- Develop and implement transportation models to analyze transportation network performance and identify opportunities for improvement.
- Collaborate with stakeholders to gather requirements and provide input on transportation policies and guidelines.
- Conduct data analysis to support decision-making and ensure the accuracy of transportation models.
- Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders.
- Stay up-to-date with industry trends and best practices in transportation planning and engineering.
- Master's degree in Transportation Planning or Traffic Engineering.
- Minimum of 9 years of experience in transportation planning and traffic engineering.
- Excellent analytical and problem-solving skills.
- Ability to work collaboratively with stakeholders and teams.
- Full knowledge of principles and practices related to traffic operations and planning.
- Results-driven achiever with exemplary planning and organizational skills.
- Statistical methods and research techniques applicable to transportation planning documents.
- Experience with software related to transportation planning and forecasting, travel demand modeling, and data analysis.
Senior Data Analysis Professional
Posted today
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As a performance analysis specialist, you will analyze and interpret data to drive business growth. You will work closely with cross-functional teams to identify relevant metrics, develop measurement frameworks, and provide actionable insights.
">- Data analysis and interpretation
- Performance metric identification
- Measurement framework development
- Business intelligence reporting
As a valued member of our team, you can expect:
">- A competitive salary package
- Ongoing training and professional development opportunities
- A collaborative and dynamic work environment
This role is ideal for individuals who are passionate about data-driven decision making and have a strong desire to contribute to business growth.
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Data Analysis and Insights Career Starter
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We are seeking a Data Analyst Intern to join our team and contribute to the transformation of analysis and insights creation.
About the RoleThis is an excellent opportunity for recent graduates or students to gain hands-on experience in data analysis and develop their skills in a dynamic and inclusive work environment.
Your Responsibilities- Contribute to the development of analysis and insights creation by leveraging innovative data platforms
- Work collaboratively with the Commercial Operations department and Data team to deliver actionable insights to the business
- Fluency in English
- Graduating in 2026 or later
- Ability to work 30-40 hours per week
- Skills in data analysis, proficient in Excel
- Preferred experience in visualization tools like Qlik
- Strong analytical mindset, structured and organized, proactive, striving for excellence, self-driven with efficient reporting capability
- Buddy and mentor support during your journey
- Learning opportunities
Course: Effective Business Decisions Using Data Analysis
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Effective Business Decisions Using Data Analysis
ID 257
Course: Effective Business Decisions Using Data Analysis
This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.
This course will feature:- Discussions on applications of data analytics in management
- The importance of data in data analytics
- Applying data analytical methods through worked examples
- Focusing on management interpretation of statistical evidence
- How to integrate statistical thinking into the work domain
- Explain the scope and structure of data analytics.
- Apply a cross-section of useful data analytics.
- Interpret meaningfully and critically assess statistical evidence.
- Identify relevant applications of data analytics in practice.
- Professionals in management support roles
- Analysts who typically encounter data/analytical information regularly in their work environment
- Those who seek to derive greater decision-making value from data analytics
This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.
The Course Content- Day One: Setting the Statistical Scene in Management
- Introduction; The quantitative landscape in management
- Thinking statistically about applications in management (identifying KPIs)
- The integrative elements of data analytics
- Data: The raw material of data analytics (types, quality, and data preparation)
- Exploratory data analysis using Excel (pivot tables)
- Using summary tables and visual displays to profile sample data
- Day Two: Evidence-based Observational Decision Making
- Numeric descriptors to profile numeric sample data
- Central and non-central location measures
- Quantifying dispersion in sample data
- Examine the distribution of numeric measures (skewness and bimodal)
- Exploring relationships between numeric descriptors
- Breakdown analysis of numeric measures
- Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
- The foundations of statistical inference
- Quantifying uncertainty in data – the normal probability distribution
- The importance of sampling in inferential analysis
- Sampling methods (random-based sampling techniques)
- Understanding the sampling distribution concept
- Confidence interval estimation
- Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
- The rationale of hypotheses testing
- The hypothesis testing process and types of errors
- Single population tests (tests for a single mean)
- Two independent population tests of means
- Matched pairs test scenarios
- Comparing means across multiple populations
- Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
- Exploiting statistical relationships to build prediction-based models
- Model building using regression analysis
- Model building process – the rationale and evaluation of regression models
- Data mining overview – its evolution
- Descriptive data mining – applications in management
- Predictive (goal-directed) data mining – management applications
Director Data Scientist - Analysis - Growth
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About the opportunity
The Growth Data Science Director will lead and accelerate growth strategies across marketing optimization, product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue for talabat and Quick commerce. This role requires collaboration with product teams, senior marketing, and partner leadership to drive data-driven decisions and business growth.
What’s On Your Plate?
- Data Science: Define and execute data strategies aligned with company goals, leading cross-functional teams to develop innovative data-driven products and insights that impact business outcomes.
- Strategic Leadership and Business Acumen: Demonstrate strategic leadership, articulate vision, and incorporate emerging trends and technologies to add value.
- Collaboration and Influence: Work with stakeholders including executives, product managers, engineers, and external partners; represent the organization at industry events.
- Resource Management: Manage teams, budgets, and resources; prioritize projects; coach and mentor managers.
- Strategic Hiring and Talent Development: Recruit, develop career paths, and provide feedback to team members.
- Organizational Change Management: Lead change initiatives, communicate effectively, and manage resistance.
What you need to be successful
- 8-10+ years in data science, with leadership experience in managing teams or consulting.
- Ph.D. or Master’s in relevant fields such as computer science, statistics, or data science.
- Proven leadership in fostering high-performance teams and applying data science skills to create impactful products and insights.
- Deep knowledge of statistics, causality, experimentation, and modeling.
- Business acumen with experience in quantifying impact through data initiatives.
- Strategic thinking and ability to develop data-driven roadmaps aligned with organizational goals.
Who we are
Since 2004, talabat has been Kuwait’s leading on-demand food and Q-commerce app, serving eight countries. We leverage technology to simplify life, optimize operations, and provide earning opportunities. We foster a high-performance culture, value authenticity, and are proud of our awards and diverse team of over 6,000 Talabaty committed to making a difference.
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