Senior Visualization Specialist

We're Hiring: Senior Visualization Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Experience Level: Senior

Work Arrangement: Fully Remote

About Us

We are a globally focused organization committed to transforming complex information, data, concepts, and ideas into clear, engaging, and actionable visual experiences across diverse markets.

Our multidisciplinary teams collaborate across Design, Data, Technology, Product, Marketing, Research, Communications, Engineering, and Business functions to create high-quality visualizations that support decision-making, storytelling, customer experiences, and organizational communication.

The Role

We are seeking an experienced Senior Visualization Specialist to lead the development of sophisticated data visualizations, information graphics, interactive visual experiences, dashboards, presentations, and visual storytelling solutions.

The ideal candidate will combine strong visual-design expertise with data literacy, analytical thinking, storytelling, and technical visualization capabilities to transform complex information into intuitive and compelling visual experiences for executives, customers, employees, and other audiences.

Key Responsibilities

• Develop and implement visualization strategies aligned with organizational communication, analytical, and business objectives.
• Translate complex data, concepts, research findings, and business information into clear and engaging visual formats.
• Design data visualizations, dashboards, infographics, reports, presentations, interactive graphics, and visual storytelling experiences.
• Analyze visualization requirements and determine the most effective visual format for different audiences and use cases.
• Develop visual narratives that communicate key findings, trends, relationships, comparisons, and insights effectively.
• Collaborate with Data, Analytics, Product, Design, Marketing, Research, Technology, and business teams to understand visualization requirements.
• Work with data analysts and subject-matter experts to validate data interpretation and ensure visual accuracy.
• Design executive dashboards and management reports that enable rapid understanding of business performance.
• Develop interactive dashboards for operational, financial, commercial, customer, and performance reporting.
• Create visualizations for large and complex datasets while maintaining clarity, usability, and performance.
• Select appropriate chart types, visual encodings, layouts, scales, annotations, and interaction patterns based on analytical objectives.
• Apply information-design and data-visualization principles to improve comprehension and reduce cognitive load.
• Establish visual hierarchy, typography, composition, labeling, annotation, and accessibility standards for visualization products.
• Develop reusable visualization templates, components, libraries, and design systems.
• Establish visualization standards covering chart selection, color usage, labeling, legends, axes, interactions, and responsive behavior.
• Ensure visualizations accurately represent underlying data without introducing misleading interpretations.
• Validate calculations, data transformations, aggregation logic, filters, and visualization outputs.
• Collaborate with data engineers and analysts to understand data structures, pipelines, transformations, and limitations.
• Identify data-quality issues that may affect visualization accuracy and escalate them to appropriate teams.
• Design interactive dashboards with filtering, drill-down, search, tooltips, dynamic views, and other appropriate user interactions.
• Develop responsive visualizations that work effectively across desktop, tablet, and mobile environments.
• Create visual experiences for web applications, internal platforms, customer portals, and digital products.
• Develop interactive data stories that guide users through complex information and analytical findings.
• Design maps, spatial visualizations, network diagrams, process visualizations, timelines, and other specialized visual formats where appropriate.
• Develop infographics and visual communication materials for marketing, communications, investor, executive, and corporate audiences.
• Translate research and analytical findings into compelling visual stories and presentation materials.
• Support executive presentations by creating high-quality charts, graphics, dashboards, and data-driven narratives.
• Develop visualizations that communicate financial performance, operational metrics, customer behavior, market trends, risk indicators, and strategic priorities.
• Collaborate with UX and Product Design teams to integrate visualization into broader digital experiences.
• Conduct user research, usability testing, and feedback sessions to evaluate visualization effectiveness.
• Analyze user behavior and feedback to improve dashboard navigation, information hierarchy, and visual comprehension.
• Establish accessibility standards for visualizations, including appropriate contrast, labeling, alternative descriptions, keyboard usability, and non-color-dependent communication.
• Ensure visualizations are understandable to audiences with different levels of data literacy.
• Adapt visualization approaches for executives, analysts, operational teams, customers, and public audiences.
• Optimize visualization performance for large datasets, complex dashboards, and interactive applications.
• Identify opportunities to improve dashboard load times, rendering performance, data-query efficiency, and user experience.
• Evaluate visualization platforms, analytics tools, libraries, and technologies based on functionality, scalability, usability, and organizational requirements.
• Develop visualizations using business-intelligence and data-visualization platforms.
• Work with tools such as Tableau, Power BI, Looker, Qlik, or comparable visualization technologies.
• Use data-visualization libraries and technologies such as D3.js, Plotly, Vega, Highcharts, or comparable tools where appropriate.
• Collaborate with developers to implement custom interactive visualization experiences.
• Define technical requirements for visualization solutions and communicate them clearly to engineering teams.
• Support visualization integration with APIs, databases, data warehouses, data lakes, and analytical platforms.
• Establish visualization data models, calculated fields, metrics, dimensions, filters, and business definitions in collaboration with analytics teams.
• Ensure consistency in KPI definitions, metric calculations, and visual representations across dashboards and reports.
• Establish governance for visualization assets, ownership, versioning, publishing, and retirement.
• Maintain visualization repositories, design documentation, data dictionaries, chart specifications, and reusable assets.

Key Performance Indicators

• Visualization project delivery rate
• Dashboard delivery timeliness
• Visualization accuracy
• Data-to-visualization accuracy
• Dashboard adoption rate
• Dashboard active-user rate
• Visualization user satisfaction
• Dashboard usability score
• Visualization comprehension rate
• Executive dashboard adoption
• Report engagement
• Interactive visualization engagement
• Dashboard performance
• Dashboard load time
• Visualization rendering performance
• Query performance
• Data refresh reliability
• Data-quality issue rate
• Visualization defect rate
• Rework rate
• Visualization QA completion
• Accessibility compliance
• Design-system adoption
• Visualization standards compliance
• KPI-definition consistency
• Metric consistency across dashboards
• Reusable visualization component adoption
• Visualization development cycle time
• Reporting automation rate
• Manual reporting reduction
• Dashboard retirement and rationalization
• Visualization portfolio health
• User feedback resolution
• Visualization enhancement completion
• Stakeholder satisfaction
• Business insight adoption
• Decision-support effectiveness
• Data storytelling effectiveness
• Visualization engagement growth
• Visualization cost efficiency
• External partner performance
• Training completion
• Visualization capability development
• Innovation adoption
• Continuous-improvement implementation

Ideal Candidate

The successful candidate should have strong experience in data visualization, information design, business intelligence, visual analytics, dashboard development, data storytelling, or digital visualization, preferably within a technology, consulting, financial, commercial, research, or international business environment.

The candidate should demonstrate:

• Strong understanding of data-visualization principles and information-design practices.
• Proven experience creating sophisticated dashboards, interactive visualizations, infographics, and visual stories.
• Strong ability to translate complex data into clear and actionable visual communication.
• Experience designing visualizations for executive, analytical, operational, customer, and public audiences.
• Strong understanding of chart selection, visual hierarchy, composition, labeling, annotation, and interaction design.
• Experience with visualization and business-intelligence platforms such as Tableau, Power BI, Looker, Qlik, or equivalent tools.
• Strong proficiency with data-visualization libraries or technologies such as D3.js, Plotly, Vega, Highcharts, or comparable technologies is highly desirable.
• Strong understanding of data structures, data preparation, aggregation, filtering, and analytical concepts.
• Experience working with SQL, databases, data warehouses, or analytical platforms.
• Ability to validate data accuracy and identify visualization-related data-quality issues.