451 Data Analysis Roles jobs in the United Arab Emirates

Qualifications: Bachelor's in Computer Applications (Computers)

Nationality: Any

Vacancy: 1

The Role: We are looking for a Business Intelligence - Pricing Specialist who is obsessed with numbers, allergic to copy-paste strategies, and curious about how pricing can drive revenue, demand, and market dominance. This is not a typical hotel revenue manager role. If your last job was at a traditional hotel chain and all you did was adjust BAR rates, this probably isn't for you.

You will build and lead Stella's pricing engine across all markets, report directly to the CEO, and work closely with sales, marketing, and tech teams. You'll be hands-on, analytical, and experimental, constantly testing, adjusting, and learning what works in each market.

Bonus points if you are already using ChatGPT, Excel wizardry, or other AI tools to work smarter. We like people who push the edge of what's possible.

• Own and evolve our pricing strategy for short- and long-term stays
• Analyze data, trends, booking pace, and competitor behavior
• Design pricing experiments (early bird offers, last-minute drops, bundling, etc.)
• Build dashboards, uncover insights, and make bold recommendations
• Work directly with the CEO to define revenue goals and growth levers
• Collaborate with sales and marketing teams on seasonal and tactical campaigns
• Drive automation and optimization through our internal PMS

• 3-7 years in pricing, business analytics, or strategy (travel, e-commerce, real estate, or tech)
• Exceptional with Excel/Sheets; bonus for SQL, Python, or AI tool experience
• Curious about OTA mechanics (Airbnb, , Expedia, etc.)
• Creative thinker who isn't afraid to test, fail, and improve fast
• Strategic mindset with the discipline to execute daily
• Strong communicator confident to challenge ideas and lead decisions

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About Wynn Al Marjan Island

On schedule to open in the United Arab Emirates in early 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.

About The Position

Wynn Al Marjan Island is currently seeking a Director of Business Intelligence Data Science to join the resort’s Casino Data Science team.

The role involves conducting market research to gather external data, utilizing data mining techniques to collect internal data, and identifying potential business opportunities. The candidate will lead the team in generating innovative campaign ideas, designing and executing campaign workflows, processes, rewards, and reviewing campaign performance. Engaging with both business and technical stakeholders to ensure successful campaign execution is essential.

The Primary Duties And Responsibilities Of This Role Are

• Collaborate with various business and technical stakeholders within the organization to identify and explore realistic business opportunities for implementing big data initiatives.
• Demonstrate a strong drive to learn and master new technologies and techniques.
• Mine and analyze extensive data from the company database to optimize business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Lead the implementation and application of models, methods, and standards in complex projects and environments.
• Interpret data and deliver substantiated analyses using advanced analytical techniques and tools. Create programs to automate and model tasks.
• Lead customer segmentation and lifetime valuation efforts using clustering, predictive modeling, and classification algorithms.
• Assist in designing, training, scoring, and deploying predictive and machine learning algorithms using programming languages such as Python, R, and SAS.
• Demonstrate familiarity with relevant machine learning packages, including Pandas, Scikit-Learn, SciPy, and NumPy for Python, as well as Caret, Dplyr, random Forest, and nnet.
• Plan and develop future-proof data processes that enable seamless model improvements without disrupting ongoing production.
• Automate reporting and monitor model and data accuracy.

About You

The ideal candidate will have:

• An undergraduate degree in a quantitative field such as Computer Science, Finance, Economics, or Statistics; an MBA is a plus.
• At least five years of experience in the casino industry, preferably 8+ years of postgraduate work experience.
• Proficiency in data mining techniques and tools.
• Ability to develop, maintain, and interpret market insights reporting systems.
• Ability to design and execute effective campaign workflows and processes.
• Proficiency in maintaining competitive intelligence programs, including market segmentation and strategic profiling.
• Understanding and analysis of market trends to inform strategic planning.
• Knowledge of analyzing qualitative and quantitative data to identify target markets and consumer expectations.

About Wynn Al Marjan Island’s Benefits

We offer an attractive salary paid in Dirhams (AED), along with excellent leave policies, healthcare, life insurance, incentive programs, and other employee benefits. This comprehensive package aims to attract outstanding candidates seeking a career with Wynn Resorts, one of the most renowned brands in the global hospitality industry.

Job Description:

Job Title: Data Analytics and Strategy Manager Carat

Work Location: Dubai, UAE

Job Level: Manager

Job Type: Full-time (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups, providing a full suite of creative, data, technology, and media services to clients across 145 countries.

We empower leading brands to create better customer experiences through digital and creative transformation. Our expertise spans creative excellence, customer engagement, media, enterprise marketing technology, and more, serving a diverse portfolio of Fortune 100 companies and iconic brands worldwide.

Learn more about us here: (Insert link if available)

Role:

The Data and Analytics Strategy Manager leads the agency's data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to foster business growth and enhance decision-making processes across the organization.

Key Responsibilities:

1. Build strong relationships and collaborate with operational, product, business performance, data science, and data visualization leads.
2. Analyze and correlate data from various sources (research, sales, media metrics, etc.).
3. Produce insights and develop viewpoints based on data outputs.
4. Work with business leads to create data and analytics solutions (e.g., Google Analytics, Data Visualization).
5. Report to the Performance Director to drive performance and business intelligence for clients.
6. Develop and execute the overall data and analytics strategy aligned with company goals.
7. Establish and enforce data governance policies ensuring data quality, consistency, and security.
8. Lead a team of data analysts and data scientists to deliver actionable insights.
9. Collaborate with stakeholders to understand data needs and deliver appropriate solutions.
10. Design measurement frameworks based on goals and KPIs to evaluate data initiatives.
11. Evaluate and adopt the latest data technologies and tools.
12. Coordinate dashboard and report development with the data science team and other leaders.
13. Stay updated on industry trends to improve data strategies and processes, collaborating with partners like Google, Meta, Tableau, Salesforce, etc.

Key Competencies:

• AI & Machine Learning: Design and deploy advanced analytics and ML models (e.g., fraud detection, recommender systems).
• Marketing & Customer Analytics: Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling, ROI optimization.
• Causal Inference & Statistical Modeling: Impact analysis and marketing event evaluation.

Leadership & Strategy:

• Team Leadership: Manage data scientists, data engineers, and BI analysts.
• Stakeholder Management: Engage with CXOs and business leaders.
• Program & Project Management: Lead end-to-end data science projects across industries and regions.

Tech Stack & Tools:

• Languages: Python, R, SQL, PySpark, Scala.
• ML Frameworks: TensorFlow, Keras, XGBoost, SVM, GBM.
• Platforms & Tools: AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS.

Industries Served:

Retail, Finance, CPG, Automotive, Technology (highly preferred).

What We Offer:

Financial Compensation:

• Competitive package, annual bonus, and return tickets to home country.

Health & Wellbeing:

• Flexible hybrid work, private healthcare, wellness days.

Company Culture & Perks:

• Diverse, collaborative environment, team socials, casual dress code.

Professional Development:

• Access to Dentsu University, internal mobility, regional exposure.

Diversity & Inclusion:

Dentsu is committed to equity and diversity, fostering an inclusive environment where everyone can bring their whole self to work.

Application Process:

Please apply online. If your profile matches, our recruiters will contact you. If not, your profile will be stored for future opportunities.

Location: Dubai

Brand: Dentsu

Time Type: Full-time

Contract Type: Permanent

Required Experience: Manager

Job Description:

Job Title: Data Analytics and Strategy Manager Carat

Work Location: Dubai, UAE

Job Level: Manager

Job Type: Full-time (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups, providing a full suite of creative, data, technology, and media services to clients across 145 countries.

We empower leading brands to create better customer experiences through digital and creative transformation. Our expertise spans creative excellence, customer engagement, media, enterprise marketing technology, and more, serving a diverse portfolio of Fortune 100 companies and iconic brands worldwide.

Learn more about us here: (Insert link if available)

Role:

The Data and Analytics Strategy Manager leads the agency's data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to foster business growth and enhance decision-making processes across the organization.

Key Responsibilities:

• Build strong relationships and collaborate with operational, product, business performance, data science, and data visualization leads.
• Analyze and correlate data from various sources (research, sales, media metrics, etc.).
• Produce insights and develop viewpoints based on data outputs.
• Work with business leads to create data and analytics solutions (e.g., Google Analytics, Data Visualization).
• Report to the Performance Director to drive performance and business intelligence for clients.
• Develop and execute the overall data and analytics strategy aligned with company goals.
• Establish and enforce data governance policies ensuring data quality, consistency, and security.
• Lead a team of data analysts and data scientists to deliver actionable insights.
• Collaborate with stakeholders to understand data needs and deliver appropriate solutions.
• Design measurement frameworks based on goals and KPIs to evaluate data initiatives.
• Evaluate and adopt the latest data technologies and tools.
• Coordinate dashboard and report development with the data science team and other leaders.
• Stay updated on industry trends to improve data strategies and processes, collaborating with partners like Google, Meta, Tableau, Salesforce, etc.

Key Competencies:

• AI & Machine Learning: Design and deploy advanced analytics and ML models (e.g., fraud detection, recommender systems).
• Marketing & Customer Analytics: Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling, ROI optimization.
• Causal Inference & Statistical Modeling: Impact analysis and marketing event evaluation.

Leadership & Strategy:

• Team Leadership: Manage data scientists, data engineers, and BI analysts.
• Stakeholder Management: Engage with CXOs and business leaders.
• Program & Project Management: Lead end-to-end data science projects across industries and regions.

Tech Stack & Tools:

• Languages: Python, R, SQL, PySpark, Scala.
• ML Frameworks: TensorFlow, Keras, XGBoost, SVM, GBM.
• Platforms & Tools: AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS.

Industries Served:

Retail, Finance, CPG, Automotive, Technology (highly preferred).

What We Offer:

Financial Compensation:

• Competitive package, annual bonus, and return tickets to home country.

Health & Wellbeing:

• Flexible hybrid work, private healthcare, wellness days.

Company Culture & Perks:

• Diverse, collaborative environment, team socials, casual dress code.

Professional Development:

• Access to Dentsu University, internal mobility, regional exposure.

Diversity & Inclusion:

Dentsu is committed to equity and diversity, fostering an inclusive environment where everyone can bring their whole self to work.

Application Process:

Please apply online. If your profile matches, our recruiters will contact you. If not, your profile will be stored for future opportunities.

Location: Dubai

Brand: Dentsu

Time Type: Full-time

Contract Type: Permanent

Required Experience: Manager

Fluid Codes is the APEX Channel Partner of ANSYS part of Synopsys, authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com).

Ansys is the global leader in engineering simulation, helping the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.

JOB SUMMARY:

We are seeking Business Intelligence Analyst to execute the implementation of BI dashboards, process analytics, and reporting workflows . The ideal candidate will collaborate closely with business stakeholders to model processes, integrate data sources, and deliver actionable insights for Sales, Marketing, Technical, and Operations teams.

Key Responsibilities

• Data Integration: Connect and maintain data from multiple sources (Salesforce, HubSpot, Zoho, Google Sheets) into a unified reporting system.
• Build and Manage BI Solutions: Develop interactive dashboards and reports using Power BI, Salesforce or equivalent tools, ensuring clear visualization of key business metrics.
• Process Analytics: Analyze business workflows, define KPIs, and provide actionable insights to improve efficiency and automation opportunities.
• Performance Monitoring: Deliver real-time analytics for Sales, Marketing, and technical teams, including trend analysis and forecasting.
• Stakeholder Collaboration: Work closely with department heads to capture requirements, deliver insights, and train teams on BI tools for self-service reporting.

Qualifications & Skills

• Education: Bachelor’s degree in Computer Science, Information Systems, Business, Data Analytics, or related field.
• Experience: 3+ years in BI development, process analytics, or similar roles.
• Technical Skills:
  • Proficiency in Power BI (or Tableau/Qlik), DAX , and data modelling.
  • Strong experience with ETL processes, data preparation, and transformation for analytics.
  • Solid understanding of SQL and relational databases for data extraction and manipulation.
  • Familiarity with Salesforce, HubSpot, Zoho Projects, and other business systems for data integration.
• Soft Skills: Strong analytical thinking, problem-solving, and stakeholder communication skills.

Founded in 1997, Fluid Codes is an Ansys Apex Channel Partner serving the needs of the engineering community in the Middle East & Africa.

Get latest simulation and industry updates

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This is a dynamic and challenging role that requires an individual with exceptional analytical skills and the ability to communicate complex ideas in a clear and concise manner.

As a Business Intelligence Expert, you will be responsible for developing sophisticated analytical solutions that integrate diverse information assets to achieve incremental revenue or reduction in costs or mitigating financial risks.

1. Key Responsibilities:
2. Strategic Responsibilities:
• Develop & conceptualize innovative analytical solutions that leverage diverse information assets to drive business value.
• Lead the discovery process for analytics opportunities with stakeholders to identify business requirements and expected outcomes.
• Make strategic recommendations on data collection, integration, and retention requirements incorporating business needs and knowledge of best practices.
• Define standard metrics and KPIs for measuring the success of analytics engagements undertaken and establish processes to measure them.
• Educate colleagues on new approaches such as testing hypotheses and statistical validation of analytical results.
3. Core Responsibilities:
• Apply advanced statistical and predictive modelling techniques to build, maintain, and improve multiple decision systems.
• Design experiments and test business hypotheses.
• Identify available and relevant data sources including internal and external data leveraging new data collection processes such as geolocation data, unstructured data sources like emails, log files, social media, etc.
• Develop innovative approaches to solve business problems using Analytics and communicate results and methodologies.
• Utilize patterns and variations in data volume, speed, and other characteristics to support initiatives, type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
• Provide ongoing tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
• Recommend & implement ongoing improvements to methods and algorithms leading to findings including new information & patterns in the data.
• Establish conducive ecosystem for analytics using tools, processes, vendors, etc. within the organization enabling adoption of analytics across departments.
• Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve real business problems.
4. People Management Responsibilities:
• Coach & groom data scientists on gaining knowledge & skills on principles of analytics techniques, problem solving, project management, client relationship management & team work skills.
• Responsible to hire, train, motivate, and continuously develop skillsets of the data scientists in the team.
• Define goals and key performance indicators for each member of data science team and coordinate performance management review process for the team.

This role involves analyzing and interpreting data related to product development and performance. Insights are provided to support decision-making processes, and contributions are made to the improvement of product strategies.

• Communicate business requirements through clear user stories.
• Analyze customer data to improve customer acquisition and retention.
• Identify trends, patterns, and insights related to product performance.
• Collaborate with cross-functional teams to gather requirements and understand stakeholder needs.
• Support in maintaining backlogs and handling new requests.
• Conduct market research and analysis on competitor products.

• Strong technical knowledge and understanding of business principles.
• Proven track record of delivering data-driven solutions with a customer-first approach.
• Fluent English speaker.
• Previous experience as a Business Analyst or Product Analyst for 3 years.
• In-depth knowledge of Agile (Scrum) process and principles.
• Excellent communication, presentation, and leadership skills.
• Strong organizational and time management skills.
• Strong problem-solving skills.

• Requirement gathering: Skilled at gathering and interpreting requirements from stakeholders.
• Collaboration: Ability to collaborate effectively with cross-functional teams.
• Problem-solving: Capable of identifying product-related challenges and proposing effective solutions.
• Attention to detail: Attentive to details in data analysis and product requirements.
• Time management: Ability to manage time efficiently to meet project deadlines.
• Adaptability: Willingness to adapt to changing project requirements.
• Communication: Excellent communication skills to convey complex information clearly.

• A competitive salary package and performance-based bonuses.
• A globally distributed team with a diverse culture.
• The opportunity to impact millions of people in the region.
• A collaborative and feedback-driven work environment.
• Opportunities for professional growth and development.
• The chance to be part of an innovative company at the cutting edge of the industry.

• Mid-senior level.
• Full-time position.
• Research, analyst, and IT job function.

Job Summary:

We are seeking a skilled Data Analyst to join our team. The ideal candidate will have strong analytical skills and be able to collect, analyze, and interpret large amounts of data from multiple sources.

• Collect and analyze data from various sources to support business decisions.
• Develop reports, dashboards, and visualizations to communicate findings to stakeholders.
• Identify opportunities to apply data-driven solutions to existing processes.
• Collaborate with other departments and maintain effective communication of results.
• Manage multiple priorities in a fast-paced environment.

• Strong knowledge of databases, data analysis tools, and software development techniques.
• Experience creating dashboards, reports, and visualizations.
• Analytical mindset with problem-solving skills; ability to work independently and collaboratively.
• Excellent organizational skills and ability to manage multiple priorities.

We offer on-the-job training and are open to considering candidates who are foreign nationals living outside of the UAE. Salary: 1200 AED per month.

Job Overview

The role of Data Analyst involves leveraging analytical tools and data platforms to extract valuable insights from raw data. The successful candidate will be responsible for translating data into actionable business intelligence, driving efficiency and growth through informed decision-making.

Key Responsibilities

• Extract key findings from data using advanced analytics techniques.
• Conduct thorough quality control checks to ensure accuracy and reliability of data.
• Investigate anomalies in data and identify opportunities for optimization.
• Design and implement experiments to improve business performance.
• Support the development and analysis of Business Intelligence tools.
• Record and analyze datasets to measure business performance.
• Provide ad hoc data and analysis support as needed.
• Apply industry knowledge to interpret data and inform business decisions.

Required Skills and Qualifications

• Data visualization and interpretation.
• Advanced analytical and technical skills.
• Strong communication and presentation skills.
• Excellent organizational and time management skills.
• Prioritization and project management.
• Data-driven decision making.
• Customer-focused approach.
• Innovative problem-solving.

Benefits and Opportunities

This role offers a unique opportunity to make a meaningful impact on our organization's success. As a Data Analyst, you will have the chance to work with a talented team of professionals, develop your skills and expertise, and contribute to the development of business intelligence solutions that drive growth and improvement.

About the Role

This is a full-time position that requires strong analytical and technical skills, excellent communication and presentation skills, and the ability to work effectively in a fast-paced environment. If you are a motivated and detail-oriented individual who is passionate about data analysis and business intelligence, we encourage you to apply.