108 Data Visualization jobs in Dubai
Data Visualization Specialist
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We are seeking an experienced Data Visualization Specialist to join our team. This role will involve designing, developing, and maintaining interactive dashboards and visualizations using Apache Superset.
Key Responsibilities- Design and develop data visualization solutions that meet business needs
- Collaborate with stakeholders to gather data requirements and deliver analytics solutions
- Integrate Apache Superset with various data sources and ensure data accuracy and integrity
- Optimize performance of dashboards and ensure optimal user experience
- Troubleshoot and resolve issues related to data visualization tools and underlying data sources
- Proven experience in data visualization using Apache Superset or similar tools
- Strong understanding of SQL and experience with database systems
- Familiarity with data warehousing concepts and ETL processes
- Experience in connecting various data sources and implementing data pipeline solutions
- Knowledge of data analytics best practices and data storytelling techniques
- Paid time off
- Performance bonus
- Training and development opportunities
As a key member of the team, you will be responsible for creating data-driven insights and driving business growth through effective data visualization.
Seniority level- Mid-senior level
- Full-time
- Information technology
- IT services and IT consulting
Apply now to take your career to the next level.
Data Visualization Specialist
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We're seeking a skilled Senior Product Designer with expertise in data visualisation to lead the development of innovative, intuitive data-driven experiences. This role involves crafting impactful and elegant user interfaces that enable users to see patterns, understand insights, and make informed decisions.
You will design engaging dashboards, reports, and interactive products that seamlessly embed data into the user experience. A strong portfolio showcasing product design craft, especially in dashboards, data-driven UI, and digital products, is essential.
Key Responsibilities:- Create compelling, user-friendly dashboards, reports, and interactive data experiences.
- Tell stories with data by translating raw data and analysis into meaningful narratives.
- Shape products end-to-end from research and flows through to polished high-fidelity design.
- Collaborate across disciplines to ensure needs and solutions align.
This role offers the opportunity to work on cutting-edge projects, leverage industry-leading tools, and contribute to the growth of our organization.
Data Visualization Specialist
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Job Title
A skilled Data Visualization Specialist to implement and maintain interactive dashboards using Apache Superset, collaborating with stakeholders to deliver insights through effective visualizations.
About the Role- Design, develop, and maintain data visualization solutions using Apache Superset.
- Collaborate with stakeholders to gather data requirements and deliver analytics solutions that meet business needs.
- Integrate Apache Superset with various data sources and ensure data accuracy and integrity.
- Optimize performance of dashboards and ensure optimal user experience.
- Troubleshoot and resolve issues related to data visualization tools and underlying data sources.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience in data visualization using Apache Superset or similar tools.
- Strong understanding of SQL and experience with database systems.
- Familiarity with data warehousing concepts and ETL processes.
- Experience in connecting various data sources and implementing data pipeline solutions.
- Knowledge of data analytics best practices and data storytelling techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.
A dynamic work environment, opportunities for growth and development, and a competitive compensation package.
Senior Data Visualization Analyst
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We are seeking an experienced Data Visualization Specialist to join our team. As a key member of our data team, you will play a vital role in shaping our information strategy and creating insightful solutions for clients using data visualization skills across various platforms.
This is an exciting opportunity to contribute to delivering significant and impactful answers to customers, while working on fundamental components of our data and analytics group.
You will work with client and marketing data utilizing data visualization abilities across stages, applying representation principles and best practices to design and deliver intuitive, well-planned solutions.
This role offers a career development path with opportunities across all levels of the organization and freedom to experience all aspects of the project lifecycle, from inception to delivery.
Manager, Data Analytics
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Position: Manager – Data Analytics
Team: Strategy & Technology
Location: Dubai, United Arab Emirates
Contract: Full-time
Type: On-site / Hybrid
Benefits: Attractive fixed & variable pay
About UsAtIdealz 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 aManager – Data Analytics & Insights to unlock opportunities hidden in the numbers and turn them into strategies that fuel expansion.
Role DescriptionAs theManager – 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.
What You'll Be Doing- 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 inSQL, 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 inData 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.
Why JoinAtIdealz Holding , you'll join a fast-paced, global team that thrives on innovation, data, and disruption. This role gives you the opportunity toshape the analytics backbone of a company reinventing retail on a global stage. You'll have thefreedom to experiment , thetools to deliver impact , and theplatform to influence strategy at the highest level .
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Data Analytics Professional
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Develop and implement effective data analytics strategies to inform business decisions, enhance operational efficiency, and drive growth.
Data Analytics Engineer
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Join to apply for the Data Analytics Engineer role at Huspy .
Huspy is a leading property technology company in EMEA. Since launching in 2020, we operate in multiple cities across the UAE and Spain, and are expanding into Saudi Arabia and three additional European markets by 2026. We have raised over $140 million (Series A and B) from top investors to reshape the homebuying journey through technology and agent-first tools. We've built a SuperApp that empowers real estate agents and mortgage brokers to transform how property transactions happen — faster, smarter, and better for everyone.
The Main Event: What You'll Drive, Build, and Own- Architect our Data's Future: Design, build, and own the transformation layer of our data stack using dbt and Snowflake, creating clean, reliable, and scalable data models that serve as the single source of truth.
- Guarantee Data Trust and Integrity: Develop automated reconciliation processes to validate that raw data coming from Kafka matches our core application portals, ensuring every number is trusted and establishing a verified Single Source of Truth for each dataset.
- Build a Self-Serve Platform: Empower business users and analysts by developing curated tables and connecting them to our BI tool, Looker, enabling true self-service analytics.
- Automate for Quality and Scale: Implement robust CI/CD pipelines and GitHub automations (e.g., required tests, SQL linting) that validate pull requests before merging, enforcing high standards and allowing the team to scale confidently.
- Implement Modern Data Governance: Develop and implement strategies for handling Personally Identifiable Information (PII) and manage the full data lifecycle (from ingestion to archival), ensuring our platform is secure, compliant, and cost-effective.
- Optimize for Scale and Cost: Develop a deep understanding of Snowflake usage and AWS costs, implementing best practices to ensure our platform is as efficient as it is powerful.
- Proven Experience: 4+ years in an Analytics Engineering or a data modeling-heavy Data Engineering role.
- dbt is Your Superpower: Expert-level proficiency with dbt (Core or Cloud). You can speak fluently about macros, packages, testing, and project structure.
- SQL & Data Warehousing Master: Advanced SQL skills and deep experience with a cloud data warehouse like Snowflake (preferred).
- A Modeler's Mindset: Strong understanding of dimensional modeling concepts (e.g., Kimball methodology) and the ability to design data models that are both comprehensive and easy to understand.
- Pragmatic Programmer: Proficiency in Python for scripting, automation, and data pipeline development.
- Cloud Native: Hands-on experience with cloud platforms, preferably AWS.
- Excellent Communicator: Ability to translate complex technical concepts to non-technical stakeholders and turn business requirements into robust data models.
- Experience building and maintaining BI layers in Looker (LookML).
- Experience working with event streaming data from Kafka.
- Familiarity with data governance tools.
Hybrid in Dubai or Madrid, remote anywhere in the EU. Relocation support to Dubai or Madrid is available if preferred.
Job Details- Seniority level: Associate
- Employment type: Full-time
- Job function: Information Technology
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Data Analytics Specialist
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We are seeking an experienced professional to design and develop complex data analytics solutions for executive teams.
The ideal candidate will have a strong background in data analysis, dashboard creation, and mobile-first optimization techniques.
Key Responsibilities:- Develop robust Power BI reports and dashboards that meet business needs.
- Create mobile-optimized Power BI reports for senior executives.
- Lead projects related to data integration, cloud analysis, and data pipeline management.
- Bachelor's degree in computer science or a related field.
- 6+ years of experience in Power BI development, data analytics, and dashboard design.
- Proficiency in Power BI, including data modeling, report/dashboard design, and advanced visualization techniques.
- Strong SQL skills for data extraction and reporting.
- Experience with Microsoft Dynamics 365 and AWS for data integration and cloud analysis.
- Knowledge of ETL processes and data pipeline management.
- Leadership skills to lead teams and manage projects.
- Excellent communication skills to collaborate with stakeholders.
The ideal candidate will have a certification like PL-300 as a plus.
Skills required: Data analytics, Power BI development, Mobile optimization, SQL query optimization, Cloud services (AWS), ETL development, Project management, Stakeholder engagement, Data quality assurance, Problem solving.
Data & Analytics Strategy Manager, Data Science and Business Intelligence
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Job Title: Data Analytics and Strategy Manager Carat
Work Location: Dubai UAE
Job Level: Manager
Job Type: Fulltime (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 its global clients in 145 countries. We empower the worlds leading brands to create better creative and customer experiences with a focus on digital and creative transformation. We are champions for innovative marketing success across a diverse portfolio of fortune 100 companies, leading organisations and clients across key iconic brands advertising globally to maximise the value of our customer portfolios to drive hyperpersonalised marketing and creative strategies. Our combined strengths in creative excellence, customer digital transformation, media and enterprise marketing technology drives our competitive advantage. This includes a wide range of services to clients across media advertising, creative PR, television format production, sports stadium advertising, talent and influencer engagement, app and website development, game development, programmatic advertising, IT consultancy and data products analytics and insight. You can learn more about us here: role:
Role: Data and Analytics Strategy Manager is the lead to the agencys data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to drive business growth and improve decision-making processes across the organization.
Responsibilities- Build strong relations and collaborate with operational, product, business performance, data science, and data visualization leads.
- Build analysis and correlation derived from different data sources (i.e. research, sales analytics, media metrics, etc.).
- Produce insights, derive analysis, and produce point of view on data output.
- Collaborate with business leads to build data and analytics solutions for agency accounts (through Google Analytics, Data Visualization, etc.).
- Reports into Performance director as function to drive performance and business intelligence for clients.
- Develop and execute the overall data and analytics strategy aligned with the companys goals and objectives.
- Establish and enforce data governance policies to ensure data quality, consistency, and security.
- Lead a team of data analysts and data scientists to deliver actionable insights and recommendations.
- Work closely with business leaders, IT and other stakeholders to understand data needs and deliver solutions that meet those needs.
- Design measurement frameworks based on different goals and KPIs to measure the success of data initiatives and their impact on the business.
- Evaluate and implement the latest data technologies and tools to enhance data collection, storage and analysis capabilities.
- Coordinate with data science team and operational excellence lead to develop and maintain dashboards and reports to provide regular updates on data analytics initiatives and business performance.
- Stay abreast of industry trends and best practices to continuously improve the companys data strategy and analytics processes through collaboration with tech and measurement partners like Google, Meta, Tableau, Salesforce, etc.
- AI & Machine Learning : Design and deployment of advanced analytics and ML models (e.g. fraud detection, recommender systems, segmentation).
- Marketing & Customer Analytics : Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling and ROI optimization.
- Causal Inference & Statistical Modeling : Specialized in impact analysis and marketing event evaluation.
- Team Leadership : Manages a team of data scientists and cross-functional teams including data engineers and BI analysts.
- Stakeholder Management : Extensive experience engaging with CXOs and business heads.
- Program & Project Management : Leads end-to-end data science delivery across industries and regions.
- Languages : Python, R, SQL, PySpark, Scala
- ML Frameworks : TensorFlow, Keras, XGBoost, SVM, GBM
- Platforms & Tools : AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS
- Retail, Finance, CPG, Automotive, Technology is highly preferable.
Financial Compensation
- Competitive financial package.
- Annual bonus (based on company profitability and employee performance).
- Annual economy return tickets to home country for self and family (spouse and children if applicable).
- Flexible hybrid model and working schedule.
- Private personal and family healthcare.
- 3 wellness days to boost your energy and recharge yourself.
- Highly diverse, multicultural & collaborative team spirit
- Regular team socials throughout the year
- Friendly, approachable office atmosphere and business-casual dress code
- Dentsu University internal online portal access to ongoing online training and development opportunities to enhance your skills and advance your career.
- Internal mobility opportunities and regional exposure across MENA
Dentsu International is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future every day for our employees, global clients, partners and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. We are interested in every individual bringing their whole self to work and this includes you
Excited about the rolePlease apply online and your application will be reviewed against our requirements. If your profile matches our business requirements our recruiters will make sure to get in touch with you soon. Should you not meet our immediate requirements your profile will be registered in our talent pool system and we will match your profile to suitable future vacancies.
LocationDubai
BrandDentsu
Time TypeFull time
Contract TypePermanent
Required Experience:
Manager
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Legal Data Analytics Specialist
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Our client is an international law firm and they are currently wishing to recruit an experienced law firm Data Analytics Specialist.
They are seeking a specialist with technical skills in data analysis who is comfortable doing formulas and data analysis on massive excel spreadsheets.
You must be experienced in using visio; design PPT presentations; etc.
This person would be a timekeeper and would bill time like a paralegal, but the real emphasis here isn’t on research, but rather technical/analysis skills.
- You would fix coding errors and other data-related problems.
- Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
- Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Please email your CV ASAP to discuss.
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