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data visualization specialist

Caliberly® -  Recruitment Agency

<div>
 
 We are looking for an experienced
 
 Data Analyst
 
 who will be responsible for designing scalable BI solutions, implementing data warehousing frameworks, and delivering actionable insights to leadership teams.
 
 
 
 
 <ul>
 <li>
 
 Location:
 
 Dubai, UAE
 </li>
 <li>
 
 Experience Required:
 
 1&ndash;2 Years of Analyst experience
 </li>
 <li>
 
 Educational Qualification
 
 : Degree in Finance, Business Management, MIS, Data Analytics, or related field
 </li>
 <li>
 
 Salary
 
 : up to AED 10,000 to 11,000 + Standard Law Benefits
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 1&ndash;2 years of experience in Data Analyst role is required
 </li>
 <li>
 Strong Power BI / Data Visualization skills
 </li>
 <li>
 Exposure to ERP / CRM systems
 </li>
 <li>
 Background in Finance / Business / MIS preferred
 </li>
 </ul>
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 Data Collection &amp; Management
 
 
 <ul>
 <li>
 Extract data from ERP, CRM, databases, and APIs
 </li>
 <li>
 Clean, validate, and transform raw data to ensure accuracy
 </li>
 <li>
 Maintain structured datasets and analytical data models
 </li>
 <li>
 Support data governance and quality control
 </li>
 </ul>
 
 
 
 
 
 Analysis &amp; Insight Generation
 
 
 <ul>
 <li>
 Perform exploratory data analysis (EDA) to identify trends and patterns
 </li>
 <li>
 Conduct statistical analysis and basic forecasting
 </li>
 <li>
 Support pricing analysis, margin tracking, and demand planning
 </li>
 <li>
 Develop and monitor KPIs aligned with business objectives
 </li>
 <li>
 Assist in performance tracking across departments
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Visualization
 
 
 <ul>
 <li>
 Design and maintain dashboards using Power BI (preferred) or similar tools
 </li>
 <li>
 Automate recurring reports for management
 </li>
 <li>
 Present insights in a clear, business-oriented format
 </li>
 <li>
 Support leadership with actionable data-driven recommendations
 </li>
 </ul>
 
 
</div>

Data Analyst

Swedishtechnology

Job PurposeWe are seeking a Senior Data Analyst to serve as a key resource in fulfilling data requests from internal departments, executive leadership, and external stakeholders. The role ensures timely, accurate, and compliant delivery of data analysis, census reporting, and validation outputs that inform regulatory decisions and strategic planning aligned with Dubai&rsquo;s E33 education agenda.Key Responsibilities Strategic Responsibilities<ul><li>Support data governance initiatives and continuous improvement of data processes</li><li>Participate in stakeholder workshops and document business requirements</li><li>Contribute to data documentation, metadata management, and business glossary development</li><li>Support API integrations and cross-entity data sharing initiatives</li><li>Identify opportunities to streamline data collection and analysis workflows</li></ul>Operational Responsibilities<ul><li>Extract, clean, and analyze sector data (Schools, Higher Education, ECCs, Training Institutes)</li><li>Conduct descriptive and diagnostic analysis for ad-hoc requests</li><li>Manage and prioritize incoming data service requests</li><li>Ensure compliance with data sharing agreements and Dubai Data Law</li><li>Prepare executive-ready reports and validation summaries</li><li>Perform data quality checks and root cause analysis</li><li>Support master data management and single-source-of-truth initiatives</li><li>Automate reporting workflows and repetitive data tasks</li><li>Collaborate with IT on system enhancements and validation rules</li><li>Communicate insights to non-technical stakeholders</li></ul>Qualifications EducationBachelor&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, or related fieldExperience<ul><li>4+ years of experience in data analysis (preferably in government, education, or regulatory sectors)</li><li>Experience preparing executive-level reports</li><li>Experience streamlining processes through automation</li><li>Experience translating business requirements into system enhancements</li></ul>Technical Skills<ul><li>Advanced Excel, SQL, and Python (automation &amp; scripting)</li><li>Power BI or similar data visualization tools</li><li>Data governance and compliance knowledge</li><li>Data quality profiling and reconciliation techniques</li><li>Understanding of master data management concepts</li></ul>Nice to Have<ul><li>Experience with education sector data</li><li>Familiarity with Dubai Data Law and government data frameworks</li><li>Arabic language proficiency</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Have you worked in a government or regulatory environment?</li><li>Are you familiar with data governance frameworks or data sharing agreements?</li></ul>Experience:<ul><li>Power Query, Pivot, VBA or automation: 3 years (Preferred)</li><li>Power BI or similar data visualization tools: 4 years (Preferred)</li><li>data analysis: 4 years (Required)</li><li>SQL and Python for data analysis and automation: 2 years (Required)</li></ul>Language:<ul><li>fluent in Arabic (Preferred)</li></ul>License/Certification:<ul><li>Driving License (Preferred)</li></ul>Location:<ul><li>Dubai (Preferred)</li></ul>

Senior Data Analyst

DP World

<div><div><div><div><div><div>3. KEY RESPONSIBILITY 
</div></div> 
<div><div><div><ul><li>Engage stakeholders to translate business questions into measurable KPIs, metrics, and user stories; document acceptance criteria and define standard aggregations per the KPI master standard.
</li></ul><ul><li>Design intuitive, role-based report experiences aligned to DP World visualization standards and accessibility best practices.
</li></ul><ul><li>Build clean, performant star-schema models and semantic layers; develop measures with DAX and transformations with Power Query (M) or dataflows; apply data types, formats, and hierarchies consistently
</li></ul><ul><li>Implement incremental refresh, composite models, and DirectQuery/Import strategies; optimize with aggregations where needed.
</li></ul><ul><li>Develop interactive reports and dashboards in Power BI Desktop following storytelling and visual design best practices; use field parameters, bookmarks, and tooltips for guided analysis.
</li></ul><ul><li>Standardize KPI cards, visuals, themes, and nomenclature for cross-report consistency.
</li></ul><ul><li>Implement Row-Level Security (RLS) and Object-Level Security (OLS); manage workspaces, datasets, and lineage in Power BI Service.
</li></ul><ul><li>Adhere to naming conventions, documentation standards, and data governance policies; validate logic against golden sources.
</li></ul><ul><li>Establish data validation checks and reconcile to source-of-truth; remediate data quality issues with source teams.
</li></ul><ul><li>Use Power BI Deployment Pipelines (Dev/Test/Prod) and ALM Toolkit for schema diff/merges; integrate with version control (e.g., Git) where applicable.
</li></ul><ul><li>Monitor refresh reliability, model size, and performance (DAX Studio/Performance Analyzer); maintain SLAs and optimize load times.
</li></ul><ul><li>Create release notes, data dictionaries, and how-to guides; conduct enablement sessions for business users and WeOne reporting champions.
</li></ul><ul><li>Track usage metrics, drive adoption, and iterate based on feedback and telemetry.
</li></ul><ul><li>Work with Transformation, Finance, Operations, Commercial, and IT Data Platform to prioritize backlog and deliver value in sprints.
</li></ul>Identify automation opportunities (dataflows, parameters, templates) and reusable patterns to accelerate delivery. 
<ul><li>
</li></ul></div></div></div> 
 
<div></div><div><div>4. TECHNICAL COMPETENCIES 
</div></div> 
<div><div>Reporting &amp; Modeling (Power Platform &ndash; Reporting) 
<ul><li>Power BI Desktop &amp; Service: datasets, dataflows, semantic models, RLS/OLS, deployment pipelines, workspace mgmt.
</li><li>DAX / Power Query (M): advanced measures, calculation logic, query folding, transformations.
</li><li>Data Modeling: star schema, slowly changing dimensions, hierarchies, aggregations, incremental refresh, composite models.
</li><li>Performance Tuning: DAX optimization, model size reduction, summarization tables, Performance Analyzer, DAX Studio.
</li>Visualization Standards: storytelling, accessibility, design patterns, corporate themes. 
<li>
</li></ul>Data &amp; Platform 
<ul><li>SQL (Azure SQL/Synapse), files in Data Lake Gen2, optional: Fabric/OneLake if in scope.
</li>Tools: Tabular Editor, ALM Toolkit, DAX Studio; optional: Power BI REST API; basic Python/Excel for ad hoc. 
<li>
</li></ul>Delivery &amp; Governance 
<ul><li>Agile delivery: backlog, sprint planning, user stories, acceptance criteria.
</li>Documentation &amp; Data Governance: lineage, glossary, data dictionary, usage metrics. 
<li>
</li></ul>IT Project Management 
Plan and prioritize tasks to achieve milestones; manage dependencies with data platform teams. 
<ul><li>
</li></ul>IT Innovation 
Prototype new visuals, parameters, and templates; evaluate Fabric features to improve performance and maintainability. 
<ul><li>
</li></ul></div></div> 
 
 
 
<div><div>5. FUNCTIONAL RELATIONSHIPS 
</div></div> 
<div><div>Transformation Office (WeOne), Finance, Operations, Commercial, HSE, HR Analytics, Corporate Strategy/PMO, IT Data Platform/Security, Internal Audit (as needed), and external partners/vendors.</div></div></div></div></div></div>

DATA ANALYST

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 KEY RESPONSIBILITY
 </li>
 <li>
 Engage stakeholders to translate business questions into measurable KPIs, metrics, and user stories; document acceptance criteria and define standard aggregations per the KPI master standard.
 </li>
 <li>
 Design intuitive, role-based report experiences aligned to DP World visualization standards and accessibility best practices.
 </li>
 <li>
 Build clean, performant star-schema models and semantic layers; develop measures with DAX and transformations with Power Query (M) or dataflows; apply data types, formats, and hierarchies consistently
 </li>
 <li>
 Implement incremental refresh, composite models, and DirectQuery/Import strategies; optimize with aggregations where needed.
 </li>
 <li>
 Develop interactive reports and dashboards in Power BI Desktop following storytelling and visual design best practices; use field parameters, bookmarks, and tooltips for guided analysis.
 </li>
 <li>
 Standardize KPI cards, visuals, themes, and nomenclature for cross-report consistency.
 </li>
 <li>
 Implement Row-Level Security (RLS) and Object-Level Security (OLS); manage workspaces, datasets, and lineage in Power BI Service.
 </li>
 <li>
 Adhere to naming conventions, documentation standards, and data governance policies; validate logic against golden sources.
 </li>
 <li>
 Establish data validation checks and reconcile to source-of-truth; remediate data quality issues with source teams.
 </li>
 <li>
 Use Power BI Deployment Pipelines (Dev/Test/Prod) and ALM Toolkit for schema diff/merges; integrate with version control (e.g., Git) where applicable.
 </li>
 <li>
 Monitor refresh reliability, model size, and performance (DAX Studio/Performance Analyzer); maintain SLAs and optimize load times.
 </li>
 <li>
 Create release notes, data dictionaries, and how-to guides; conduct enablement sessions for business users and WeOne reporting champions.
 </li>
 <li>
 Track usage metrics, drive adoption, and iterate based on feedback and telemetry.
 </li>
 <li>
 Work with Transformation, Finance, Operations, Commercial, and IT Data Platform to prioritize backlog and deliver value in sprints.
 </li>
 <li>
 Identify automation opportunities (dataflows, parameters, templates) and reusable patterns to accelerate delivery.
 </li>
 <li>
 TECHNICAL COMPETENCIES
 
 
 </li>
 </ul>
 
 Reporting &amp; Modeling (Power Platform &ndash; Reporting)
 
 
 
 <ul>
 <li>
 Power BI Desktop &amp; Service: datasets, dataflows, semantic models, RLS/OLS, deployment pipelines, workspace mgmt.
 </li>
 <li>
 DAX / Power Query (M): advanced measures, calculation logic, query folding, transformations.
 </li>
 <li>
 Data Modeling: star schema, slowly changing dimensions, hierarchies, aggregations, incremental refresh, composite models.
 </li>
 <li>
 Performance Tuning: DAX optimization, model size reduction, summarization tables, Performance Analyzer, DAX Studio.
 </li>
 <li>
 Visualization Standards: storytelling, accessibility, design patterns, corporate themes.
 
 
 </li>
 </ul>
 
 Data &amp; Platform
 
 
 
 <ul>
 <li>
 SQL (Azure SQL/Synapse), files in Data Lake Gen2, optional: Fabric/OneLake if in scope.
 </li>
 <li>
 Tools: Tabular Editor, ALM Toolkit, DAX Studio; optional: Power BI REST API; basic Python/Excel for ad hoc.
 
 
 </li>
 </ul>
 
 Delivery &amp; Governance
 
 
 
 <ul>
 <li>
 Agile delivery: backlog, sprint planning, user stories, acceptance criteria.
 </li>
 <li>
 Documentation &amp; Data Governance: lineage, glossary, data dictionary, usage metrics.
 
 
 </li>
 </ul>
 
 IT Project Management
 
 
 
 <ul>
 <li>
 Plan and prioritize tasks to achieve milestones; manage dependencies with data platform teams.
 
 
 </li>
 </ul>
 
 IT Innovation
 
 
 
 <ul>
 <li>
 Prototype new visuals, parameters, and templates; evaluate Fabric features to improve performance and maintainability.
 </li>
 <li>
 FUNCTIONAL RELATIONSHIPS
 
 
 </li>
 </ul>
 Transformation Office (WeOne), Finance, Operations, Commercial, HSE, HR Analytics, Corporate Strategy/PMO, IT Data Platform/Security, Internal Audit (as needed), and external partners/vendors.
 
 
 
 About Us
 
 
 
 Trade is the lifeblood of the global economy, creating opportunities and improving the quality of life for people around the world. DP World exists to make the world&rsquo;s trade flow better, changing what&rsquo;s possible for the customers and communities we serve globally.
 
 
 With a dedicated, diverse and professional team of more than 115,000 employees from 160 nationalities, spanning 78 countries on six continents, DP World is pushing trade further and faster towards a seamless supply chain that&rsquo;s fit for the future.
 
 
 We&rsquo;re rapidly transforming and integrating our businesses -- Ports and Terminals, Marine Services, Logistics and Technology &ndash; and uniting our global infrastructure with local expertise to create stronger, more efficient end-to-end supply chain solutions that can change the way the world trades.
 
 
 What's more, we're reshaping the future by investing in innovation. From intelligent delivery systems to automated warehouse stacking, we&rsquo;re at the cutting edge of disruptive technology, pushing the sector towards better ways to trade, minimizing disruptions from the factory floor to the customer&rsquo;s door.
 
 
 DP World is on a mission to transcend boundaries and bridge the gap between all nations and cultures &ndash; not just in what we do but also in how we behave.
 
 
 We are dedicated to creating a culture where everyone feels respected, supported, and empowered to reach their full potential. We believe that embracing inclusion and diversity, drives innovation and growth and helps us connect people, businesses, and societies. Free minds and different perspectives are changing our world, and together we can change what&rsquo;s possible.
 
 
 WE MAKE TRADE FLOW
</div>

Alaan الآن

<div>
 
 About Alaan
 
 
 
 
 
 Alaan is the Middle East&rsquo;s first AI-powered spend management platform, built to help businesses save time and money.
 
 
 
 
 Our all-in-one solution combines smart corporate cards, real-time expense tracking, AI-powered automation, seamless accounting integrations, and deep financial insights- designed to simplify finance operations and maximize control over company spend.
 
 
 Founded in 2022, Alaan is already the trusted partner of over 2000 leading businesses across the UAE and KSA, including G42, Careem, McDonald&rsquo;s, Tabby, Al Barari, Rove Hotels, Rivoli, and CarSwitch. Together, our customers have saved over AED 100 million with Alaan.
 
 
 In just three years, Alaan has become the #1 expense management platform in the Middle East- and we&rsquo;ve done it while becoming profitable.
 
 
 Alaan is also backed by Y Combinator and top global investors, including Peak XV (formerly Sequoia India &amp; SEA), and built by a world-class team with experience from McKinsey, BCG, Goldman Sachs, Careem, Rippling, and other high-growth companies. This creates an environment where employees learn from top-tier talent while building at startup speed.
 
 
 We&rsquo;re not just building software. We&rsquo;re reimagining how finance works for modern businesses across the region.
 
 
 
 
 Data Analyst Intern
 
 
 
 
 
 About The Role
 
 
 
 We are looking for a
 
 
 Data Analyst Intern
 
 
 to act as a key analytical partner for our team. You will analyze company-wide data, build dashboards, and generate insights that drive real business decisions.
 
 
 We are looking for someone who loves to generate hypotheses, conduct deep-dive research, and visualize findings to tell a compelling story. This is a perfect role for someone who wants to solve real-world business challenges and see their work directly impact company strategy.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Drive Decisions: Analyze company-wide data and create dashboards to guide critical business decisions.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with different teams to understand their data needs and provide actionable recommendations.
 </li>
 <li>
 Hypothesis &amp; Research: Proactively generate hypotheses regarding customer and product performance, conduct research to validate them.
 </li>
 <li>
 Data Storytelling: Dig into complex datasets to identify trends and translate them into clear, visual narratives for both technical and non-technical stakeholders.
 </li>
 <li>
 Data Excellence: Help optimize data workflows, troubleshoot discrepancies, and ensure the integrity of our data environments.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Education &amp; Experience: A recent graduate in a quantitative field (e.g., Stats, CS, Math, Economics) or someone with previous internship experience who genuinely loves data
 </li>
 <li>
 Analytical Mindset: You excel at analyzing data, identifying root causes, and drawing actionable insights through a structured problem-solving approach.
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 </li>
 <ul>
 <li>
 Skilled in SQL and working with relational databases
 </li>
 <li>
 Proficient in data visualization tools (Metabase, Tableau, Power BI, or similar)
 </li>
 <li>
 Knowledgeable in Python (Pandas, Numpy, Matplotlib, etc.) for deeper data analysis
 </li>
 </ul>
 <li>
 Communication: You can clearly convey complex data insights to both technical and non-technical stakeholders.
 </li>
 <li>
 Collaboration: You thrive in diverse teams and contribute positively to a dynamic, fast-paced work.
 </li>
 </ul>
</div>

Data Analyst Intern

Alaan

<div>About Alaan
Alaan is the Middle East&rsquo;s first AI-powered spend management platform, built to help businesses save time and money. 
Our all-in-one solution combines smart corporate cards, real-time expense tracking, AI-powered automation, seamless accounting integrations, and deep financial insights- designed to simplify finance operations and maximize control over company spend.
Founded in 2022, Alaan is already the trusted partner of over 2000 leading businesses across the UAE and KSA, including G42, Careem, McDonald&rsquo;s, Tabby, Al Barari, Rove Hotels, Rivoli, and CarSwitch. Together, our customers have saved over AED 100 million with Alaan.
In just three years, Alaan has become the #1 expense management platform in the Middle East- and we&rsquo;ve done it while becoming profitable.
Alaan is also backed by Y Combinator and top global investors, including Peak XV (formerly Sequoia India &amp; SEA), and built by a world-class team with experience from McKinsey, BCG, Goldman Sachs, Careem, Rippling, and other high-growth companies. This creates an environment where employees learn from top-tier talent while building at startup speed.
We&rsquo;re not just building software. We&rsquo;re reimagining how finance works for modern businesses across the region. 
Data Analyst Intern 
 
About the Role 
We are looking for a Data Analyst Intern to act as a key analytical partner for our team. You will analyze company-wide data, build dashboards, and generate insights that drive real business decisions. 
 
We are looking for someone who loves to generate hypotheses, conduct deep-dive research, and visualize findings to tell a compelling story. This is a perfect role for someone who wants to solve real-world business challenges and see their work directly impact company strategy. 
 
What You&rsquo;ll Do<ul><li>
Drive Decisions: Analyze company-wide data and create dashboards to guide critical business decisions.</li><li>
Cross-Functional Collaboration: Partner with different teams to understand their data needs and provide actionable recommendations.</li><li>
Hypothesis &amp; Research: Proactively generate hypotheses regarding customer and product performance, conduct research to validate them.</li><li>
Data Storytelling: Dig into complex datasets to identify trends and translate them into clear, visual narratives for both technical and non-technical stakeholders.</li><li>
Data Excellence: Help optimize data workflows, troubleshoot discrepancies, and ensure the integrity of our data environments.</li></ul> 
What We Are Looking For<ul><li>
Education &amp; Experience: A recent graduate in a quantitative field (e.g., Stats, CS, Math, Economics) or someone with previous internship experience who genuinely loves data</li><li>
Analytical Mindset: You excel at analyzing data, identifying root causes, and drawing actionable insights through a structured problem-solving approach.</li><li>
Technical Skills:</li><li><div><ul><li>
Skilled in SQL and working with relational databases</li><li>
Proficient in data visualization tools (Metabase, Tableau, Power BI, or similar)</li><li>
Knowledgeable in Python (Pandas, Numpy, Matplotlib, etc.) for deeper data analysis</li></ul></div></li><li>
Communication: You can clearly convey complex data insights to both technical and non-technical stakeholders.</li><li>
Collaboration: You thrive in diverse teams and contribute positively to a dynamic, fast-paced work.</li></ul></div>

L'Oréal

Role: Market Insights & Business Intelligence Lead
 
General Description: Drive and implement the market insights and business intelligence action plan by providing high-quality deliverables into the growth strategy of the business. Analyze product performance, competition, sales (actuals and prospective). Automatize data collection and consolidation to enable more data driven decision making.
 
Responsibilities: 
<ul>
<li>Automatize sell-out data collection and consolidation for local and regional reporting (One Market, Beauty Market Sell Out, Sell-ins, E-commerce, 3Y plans, Beauty Marche)</li>
<li>Leverage and develop synergies with data analysts and harmonize sell out templates across divisions for local reporting.</li>
<li>Capture category x country x channel dynamics to provide management with thorough reports and results, including insights to forecast beauty market trends.</li>
<li>Conduct SWOT on competitors / categories to assess opportunities for L’Oreal Middle East</li>
<li>Build and update 3Y market projections</li>
<li>Improve reliability of estimates O+O</li>
<li>Coordinate relationship and deliverables with Nielsen retail Intelligence team including trainings, panel delivery and prepare note for management.</li>
<li>E-commerce mapping and market sizing (pure players, e-retailers, D2C) definition, update and forecast per category per country.</li>
<li>Lead key strategic pieces of work like panel coverage, e-commerce market construction, etc.</li>
<li>Present insight findings to key stakeholders, with actionable recommendations for decision making. Align stakeholders on data.</li>
<li>Provide quality assurance across insight outputs produced across CMI (panels, sell-out, retailer, social data..)</li>
<li>Undertake statistical analysis of CMI data using Excel and/or data visualization tools</li>
<li>Contribute to research presentations, reports and briefings across the range of management and leadership challenges.</li>
</ul>
Knowledge & Experience: 
Education/ Qualification: Educated to degree level or equivalent, training in data mining field or equivalent is a plus.
 
No of years’ experience: 3 / 4 years
 
Essential experience: 2+ years in sales/marketing/ market research analytics generation experience. Excellent working knowledge of data analysis programs (Advanced Excel, SQL, R, SPSS, etc.) and data visualization (Microsoft BI, Tableau, etc.).
 
Skills & Abilities: 
<ul>
<li>Ability to derive insight from data.</li>
<li>Experience of carrying out advanced analysis of large datasets, using Excel or else. Ability to integrate multiple data sources (retailer panels, financial data, channel, shopper, etc.) to create meta-analysis.</li>
<li>Ability to collaborate seamlessly with agency partners and internal teams to collect, present data and insights.</li>
<li>Contribute to research presentations, reports and briefings across the range of management and leadership challenges.</li>
<li>Work flexibly within the research and insight team to contribute to support wider strategic projects across CMI as and where appropriate.</li>
</ul>

Market Insights & Business Intelligence Lead

Explore 1206+ Data visualization specialist in Dubai this March. Find roles across top companies and apply now to boost your career.

1206 data visualization specialist jobs In Dubai

Data Analyst

Senior Data Analyst

DATA ANALYST

DATA ANALYST

Data Analyst Intern

Data Analyst Intern

Market Insights & Business Intelligence Lead