23 Data Collection jobs in the United Arab Emirates

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

We are seeking a skilled professional to lead our data analysis team. As a Lead Data Analyst, you will be responsible for overseeing a team of analysts and collaborating with developers and stakeholders to ensure software meets business needs.

• Manage a team of data analysts
• Create data marts and data lakes using mappings
• Design user interfaces and dashboards for data visualization and interaction
• Test and validate software and data products for accuracy and reliability

• Bachelor's or master's degree in Computer Science, IT, or related field
• Experience with data processing and analysis using Data Bricks
• Expert-level proficiency in SQL, Python, SAS/R, Spark
• Deployment experience in databases, server/cloud environments (AWS, Azure), APIs, ODBCs, web apps

• Career Growth: Opportunities for professional development and advancement
• Performance-Based Compensation: Competitive pay linked to performance
• Inclusive Culture: Join a collaborative team that values innovation and every voice

This is an exciting opportunity to work with a talented team and contribute to our success.

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.

• 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.

• 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

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.

File and organize paperwork used to enter data into programs to keep a record of original documents.

Prepare sales reports on a weekly and monthly basis to identify areas that need improvement.

Maintain weekly and monthly records of sales information to ensure necessary improvements.

Conduct thorough updates of the database with a high level of accuracy.

Data Entry Operator
• Dubai, United Arab Emirates

Job Title: Data Entry Specialist

We are seeking an organized and detail-oriented Data Entry Specialist to join our team. In this role, you will be responsible for accurately entering data into various systems, ensuring timely completion of tasks, and maintaining high levels of data quality.

This is a fantastic opportunity for those with excellent analytical skills, strong attention to detail, and the ability to work independently in a fast-paced environment.

• Enter data into various systems with accuracy and efficiency
• Maintain high levels of data quality by reviewing and correcting errors
• Meet deadlines and deliver results in a timely manner
• Collaborate with colleagues to ensure smooth operation of processes

To be successful in this role, you will need:

• 3+ years' experience in data entry or a related field
• Excellent analytical and problem-solving skills
• Strong attention to detail and ability to maintain high levels of accuracy
• Ability to work independently and as part of a team
• Proficiency in MS Office and other relevant software applications

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

In addition, we provide a dynamic and supportive work environment that encourages collaboration, innovation, and continuous improvement.

Create professional and accurate quotations based on pricing, item codes, and customer requirements.

Coordinate with the sales team to ensure timely delivery of quotes.

Form Submission:

Fill out Google Forms and other digital forms as per company requirements.

Ensure all entries are correct and submitted on time.

ERP Data Entry (FMS / Odoo):

Enter and update sales, customer, and product data into FMS or Odoo systems.

Maintain clean and organized digital records.

Reporting & Accuracy:

Double-check all entries for accuracy and completeness.

Generate basic reports when required.

Filing

Work closely with the sales, procurement, and operations teams to collect necessary data.

Assist with any additional admin or back-office duties related to sales support.

Employment Type

Full Time

Company Industry

• General Trading
• Export
• Import

Department / Functional Area

• Data Entry
• Operations
• Back Office Processing

Keywords

• Word
• Excel
• Google Sheets
• Client Services Executive
• Field Sales Executive
• Negotiation Skills
• Networking
• Contract Management
• Sales Strategy
• Business Development Executive

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Responsible to enter the agreement details in TARS/ECRS system for all vehicles checked out from AFTRS, MOOV and AFLM. The process includes any tasks after the agreement is opened.

The role will include the following responsibilities:

• Collection of data for entry from the relevant IT-application
• Authenticate correctness of data collected.
• Process valid data for entry and upload these in authorities systems within the required time frame
• Escalate erroneous data to concerned department for correction
• Attending to enquiries or audits from authorities
• Maintain an efficient and effective record management system for data
• This position is a shifting schedule and able to work on holidays and covering other shifts in case of emergency and or leaves

What you will do:
Data Entry Executive

- Ensure all open agreements are updated in TARS/ECRS within 3 hrs from the agreement open date and time.
- Ensure the Closed agreements and exchanges are updated within one working day from the closure and transaction date and time.
- Ensure on a Weekly basis the sold vehicles are deleted from the TARS/ECRS system.
- Ensure the data accuracy and monitoring report is reviewed and necessary actions are taken with the relevant branch managers.

Quality Controls

- Ensure active controls are set to minimize discrepancies and fines from Traffic Authority.
- Continues reporting of KPI's to Operations Manager.
- Reduction of internal/external errors.

Process Adherence & Improvement:

- Identify opportunities for process improvements that can lead to financial/non-financial efficiencies.
- Ongoing Review of processes / policies to suggest areas of improvements.
- Continuous process optimization to meet Central Bank standards and best market practices.
- Create and maintain an internal quality framework.

Reporting:

- Ensure transparency of data reporting.

Organizational – Regulation & Governance:

- Implement effective governance is in place for internal quality monitoring.

Required Skills to be successful:

• 3+ years' experience in Data Entry
• Analytical and problem solving skills.
• Possess strong attention to details, to include the ability to operate various work processing software and spreadsheets
• Managing huge sets of data.
• Planning and organizing skills
• Excellent verbal and written skills
• Results-oriented, team player and excellent interpersonal skills
• Advance in system application (MS office / internal and external application)
• Flexibility in work timings and willing to work in locations.
• Be punctual & committed at work.
• Male candidate preferred as it is a Shift job.

What equips you for the role:

• Diploma or BS IT/CS graduate