126 Data Visualization jobs in Dubai

We are seeking a skilled Data Visualization Expert to create interactive and visually appealing reports and dashboards using Power BI.

This role involves designing, developing, and maintaining Power BI dashboards and reports to meet business requirements.

• Collaborate with stakeholders to understand data needs and provide actionable insights
• Ensure data accuracy and integrity by implementing robust data validation processes
• Optimize Power BI reports for performance and usability
• Work with data sources to create efficient data models and ETL processes
• Stay updated with the latest best practices and features in Power BI

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Minimum of 3 years of experience as a Power BI Developer
• Strong proficiency in Power BI, including DAX and Power Query
• Experience with SQL and relational databases
• Solid understanding of data visualization best practices
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

• Paid Time Off
• Performance Bonus
• Training & Development

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

Data Visualization Leader

• We are seeking a highly skilled Data Visualization Leader to lead the reporting and data visualization workstream for our upcoming Opera and Micros Cloud Migration initiative.
• This is an exciting opportunity for a seasoned professional to build, manage, and optimize reporting dashboards using Power BI, Tableau, and Salesforce Analytics.

• The ideal candidate will collaborate with business, IT, and vendor teams to define reporting requirements and ensure timely delivery and stakeholder reviews.
• Responsibilities include conducting performance optimization and data validation across reporting layers.

• At least 12 years of experience in Business Intelligence, Data Warehousing, and Reporting.
• Proficiency with Power BI, Tableau, SAP BO, Salesforce Einstein Analytics, and Oracle/PostgreSQL databases.
• Hands-on experience with ETL tools like Informatica PowerCenter and Amazon Redshift.

Seniority level: Not Applicable

Employment type: Contract

Define project scope objectives and deliverables in collaboration with stakeholders.
Develop detailed project plans, allocate resources, and manage project timelines to ensure timely delivery.
Lead cross-functional teams including data analysts, engineers, and other stakeholders to achieve project goals.
Maintain clear and consistent communication with all project stakeholders, providing regular updates and managing expectations.
Identify potential project risks and develop mitigation strategies to address them proactively.
Ensure the accuracy, completeness, and reliability of data throughout the project lifecycle.
Monitor project budgets, track expenditures, and ensure projects are completed within financial constraints.
Maintain comprehensive project documentation including plans, reports, and post-project evaluations.

Data Specific Responsibilities:
Data Strategy & Planning: Develop and implement data strategies aligned with organizational goals and data governance policies.
Data Quality Assurance: Ensure data quality through profiling, cleansing, validation, and implementing quality control measures.
Data Governance & Compliance: Ensure data projects comply with data protection regulations and security protocols.
Data Architecture & Modeling: Collaborate with data architects and modelers to design efficient data structures and models.
Data Integration: Oversee the integration of data from various sources, ensuring consistency and accuracy.
Metadata Management: Maintain comprehensive metadata documentation to enhance data understanding and usability.
Stakeholder Collaboration: Work closely with business units to understand data requirements and deliver solutions that meet their needs.

About Virtusa: Add the Middle East to your global professional experience and have the opportunity to work on some of the leading Digital Transformation programs. Virtusa is one of the fastest growing IT Services companies in the Middle East with a growing client base in the UAE, KSA, Qatar, & Oman, and we work with the leading Banking and Financial Services, Travel, Telecom, and Enterprises firms in the region. We have partnered with our clients to win awards from Gartner, IDC, WfMC, and other analysts for the work that we have delivered to our clients in the region. Why would you not like to be part of this exciting and award-winning team? Don't listen to us, listen to our customers & quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth, one that seeks to provide you with exciting projects, opportunities, and work with state-of-the-art technologies throughout your career with us.

A Business Intelligence Developer is needed to shape our data and analytics team.

Key Responsibilities:

• Convey actionable insights to customers using data visualization techniques.
• Utilize business acumen and analytical skills to drive data-driven decision making.
• Collaborate with cross-functional teams to develop intuitive, well-planned solutions.

• Proven track record of applying visualization principles and best practices.
• Experience working with client and marketing data.

This role offers opportunities for growth and development across the organization.

For more details about this opportunity, please contact our HR team.

At Idealz Holding, we're redefining retail with our flagship "Shop & Win" model — transforming everyday shopping into extraordinary winning experiences. With a presence spanning 4 continents and over $100M in prizes awarded, we sit at the intersection of commerce, technology, and data. Data is the heartbeat of our growth — powering smarter decisions, sharper campaigns, and stronger customer loyalty. We're now looking for a Manager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.

Role Description

As the Manager – Data Analytics & Insights, you will be responsible for building and optimizing data-driven frameworks that guide decision-making across Idealz. You'll analyze financial, operational, and customer data, design predictive models, and deliver insights that shape campaigns, customer engagement, and revenue strategy. This role is perfect for someone who thrives at the intersection of analytics and business strategy — able to zoom into the data while advising leadership at the highest level.

• Build and manage analytics frameworks, dashboards, and reporting systems for real-time business intelligence.
• Analyze customer behavior, campaign performance, and business KPIs to uncover growth opportunities.
• Develop predictive models and ROI-driven insights to optimize campaigns and product performance.
• Partner with product, marketing, and operations teams to ensure strategies are insight-backed and commercially impactful.
• Monitor key KPIs to drive improvements in conversion, retention, and overall revenue performance.
• Conduct competitive and market analysis to support innovation and expansion strategies.
• Present insights and recommendations to senior leadership, influencing strategic direction.
• Promote a data-first culture across the organization by empowering teams to make informed decisions.
• 6–10 years of experience in data analytics, business insights, or data science, ideally within B2C, retail, e-commerce, or tech-driven businesses.
• Strong skills in SQL, Python/R, and BI tools (Tableau, PowerBI, Looker, etc.).
• Proven ability to translate large, complex datasets into actionable business strategies.
• Experience with predictive modeling, campaign analysis, and customer lifecycle analytics.
• Excellent communication and storytelling ability to influence both technical and non-technical stakeholders.
• Strong business acumen with a deep understanding of customer behavior, funnel optimization, and campaign ROI.
• Bachelor's/Master's degree in Data Science, Statistics, Economics, Business Analytics, or a related field.

• Initial screening with Global Head of HR
• Second interview with Senior Manager – Strategy
• Case study / business analytics assignment
• Interview with General Manager
• Final interview with CEO
• Process typically concludes within 3–4 weeks.

At Idealz Holding, you'll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity to shape the analytics backbone of a company reinventing retail on a global stage. You'll have the freedom to experiment, the tools to deliver impact, and the platform to influence strategy at the highest level.

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Internet

Referrals increase your chances of interviewing at Idealz Holding. Get notified about new Data Manager jobs in Dubai, United Arab Emirates.

We are seeking an experienced Operations Manager to join our team. The ideal candidate will have a strong background in data analysis, business analytics, and strategic planning.

The Operations Manager will be responsible for identifying trends, issues or gaps, analyzing and coming up with creative ideas to address issues.

• Data-Driven Insights
• Strategic Planning
• Process Design
• Cost Optimization

The successful candidate will have excellent English communication and composition skills, as well as exceptional problem-solving, project management, and analytical skills.

• 3-5 years of experience in fast-growing industries, preferably in the crypto industry
• Past experience in data analytics, business analytics, strategic planning, and/or user operations
• Excellent leadership, problem-solving, and communication skills

• A dynamic and fast-paced work environment
• Ongoing professional development and growth opportunities
• A competitive salary and benefits package

Effective business decisions are crucial for organizational success in today's fast-paced business environment. Professionals need data analysis skills to make informed decisions. This 5-day course will highlight the added value of data analytics as a decision support tool in management.

This course features discussions on data analytics applications, the importance of data, and applying data analytical methods through worked examples.

• Data analytics discussions
• Data significance
• Data application

• Explain data analytics scope and structure
• Apply cross-sections of useful data analytics
• Critically assess statistical evidence
• Identify relevant data analytics applications

• Management support professionals
• Analysts regularly encountering data/analytical information
• Professionals seeking greater decision-making value from data analytics

This course utilizes adult learning techniques for maximum understanding and retention. Daily workshops are highly interactive and participative.

1. Day One: Setting the Statistical Scene in Management
   • Introduction; The quantitative landscape in management
   • Thinking statistically about applications in management
   • The integrative elements of data analytics
   • Data: The raw material of data analytics
   • Exploratory data analysis using Excel
2. Day Two: Evidence-based Observational Decision Making
   • Numeric descriptors to profile sample data
   • Central location measures
   • Quantifying dispersion in sample data
   • Examining distribution measures
   • Exploring relationships between numeric descriptors
3. Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
   • The foundations of statistical inference
   • Quantifying uncertainty in data
   • The importance of sampling in inferential analysis
   • Sampling methods
   • Understanding the sampling distribution concept
4. Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
   • The rationale of hypotheses testing
   • Hypothesis testing process and types of errors
   • Single population tests
   • Two independent population tests
   • Matched pairs test scenarios
5. Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
   • Exploiting statistical relationships to build prediction-based models
   • Model building using regression analysis
   • Predictive data mining – management applications

At Idealz Holding, we’re redefining retail with our flagship “Shop & Win” model — transforming everyday shopping into extraordinary winning experiences. With a presence spanning 4 continents and over $100M in prizes awarded, we sit at the intersection of commerce, technology, and data. Data is the heartbeat of our growth — powering smarter decisions, sharper campaigns, and stronger customer loyalty. We’re now looking for a Manager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.

Role Description

As the Manager – Data Analytics & Insights, you will be responsible for building and optimizing data-driven frameworks that guide decision-making across Idealz. You’ll analyze financial, operational, and customer data, design predictive models, and deliver insights that shape campaigns, customer engagement, and revenue strategy. This role is perfect for someone who thrives at the intersection of analytics and business strategy — able to zoom into the data while advising leadership at the highest level.

• Build and manage analytics frameworks, dashboards, and reporting systems for real-time business intelligence.
• Analyze customer behavior, campaign performance, and business KPIs to uncover growth opportunities.
• Develop predictive models and ROI-driven insights to optimize campaigns and product performance.
• Partner with product, marketing, and operations teams to ensure strategies are insight-backed and commercially impactful.
• Monitor key KPIs to drive improvements in conversion, retention, and overall revenue performance.
• Conduct competitive and market analysis to support innovation and expansion strategies.
• Present insights and recommendations to senior leadership, influencing strategic direction.
• Promote a data-first culture across the organization by empowering teams to make informed decisions.
• 6–10 years of experience in data analytics, business insights, or data science, ideally within B2C, retail, e-commerce, or tech-driven businesses.
• Strong skills in SQL, Python/R, and BI tools (Tableau, PowerBI, Looker, etc.).
• Proven ability to translate large, complex datasets into actionable business strategies.
• Experience with predictive modeling, campaign analysis, and customer lifecycle analytics.
• Excellent communication and storytelling ability to influence both technical and non-technical stakeholders.
• Strong business acumen with a deep understanding of customer behavior, funnel optimization, and campaign ROI.
• Bachelor’s/Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.

• Initial screening with Global Head of HR
• Second interview with Senior Manager – Strategy
• Case study / business analytics assignment
• Interview with General Manager
• Final interview with CEO
• Process typically concludes within 3–4 weeks.

At Idealz Holding, you’ll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity to shape the analytics backbone of a company reinventing retail on a global stage. You’ll have the freedom to experiment, the tools to deliver impact, and the platform to influence strategy at the highest level.

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Internet

Referrals increase your chances of interviewing at Idealz Holding. Get notified about new Data Manager jobs in Dubai, United Arab Emirates.

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