Manager – Data Visualization

Job ID: 14185

Sector:

NEOM Authority

Location: NEOM, Saudi Arabia

OVERVIEW

NEOM is an accelerator of human progress and a vision of what a new future might look like. A region in northwest Saudi Arabia on the Red Sea, NEOM is being built from the ground up to include hyperconnected, cognitive cities, ports, next-generation infrastructure and industries, enterprise zones, research centers, sports and entertainment venues and tourist destinations.

As a destination, it will be a home for people who dream big and want to be part of building a new model for exceptional livability, creating thriving businesses and reinventing environmental conservation.

As a workplace, it is a place for people who share our core values of care, curiosity, diversity, passion, respect, and becoming a catalyst for change.

Are you ready to help NEOM find solutions to the world’s most pressing challenges? Are you prepared to create a lasting legacy that benefits generations to come? Then we want to hear from you!

ROLE OVERVIEW

The Data Visualization Manager in the Economics, Data, and Statistics department will contribute to critical projects centered on data visualization, analysis, and reporting. In this role, they will lead in designing and maintaining Tableau dashboards to effectively communicate data insights and support decision-making. The role will also explore and implement other visualization tools and techniques to enhance the department’s capabilities.

Working closely with data engineers, analysts, statisticians, and other stakeholders to prepare, clean, and organize data for visualization, conduct analyses, and generate insights to inform strategic goals, the role will play an important role in fostering efficient data visualization, analytics, and the effective communication of insights.

ROLE COMPETENCIES & ACTIVITIES

The responsibilities will include, but are not limited to:

Data Preparation for Data Visualization

• Prepare and organize datasets specifically for Tableau visualization as well as other visualization software such as Power BI and Shiny.
• Transform raw data into formats optimized for visualization tools, including creating calculated fields, data hierarchies, and metadata layers.
• Work with diverse data sources, such as databases, spreadsheets, APIs, and cloud platforms, to ensure seamless integration with Tableau, Power BI, and Shiny.
• Use tools like Tableau Prep, Power Query, or R scripts for cleaning, reshaping, and combining datasets for effective visualization.
• Optimize datasets for performance, scalability, and efficiency across multiple visualization platforms.

Dashboard Design and Development

• Develop, design, and maintain Tableau dashboards as the primary visualization platform, while leveraging Power BI and Shiny as supplementary tools when appropriate.
• Create visually appealing, interactive dashboards that cater to both technical and non-technical audiences.
• Implement advanced features in Tableau, such as calculated fields, parameters, filters, and actions, while utilizing similar functionalities in Power BI (DAX formulas, slicers) and Shiny (dynamic UI elements).
• Continuously improve dashboards across all platforms based on user feedback, ensuring alignment with organizational goals and evolving needs.
• Design dashboards with performance optimization in mind, including minimizing load times and ensuring scalability across Tableau, Power BI, and Shiny environments.

Dashboard Testing and Quality Assurance

• Validate the accuracy, consistency, and functionality of dashboards in Tableau, Power BI, and Shiny before deployment.
• Conduct regular quality assurance checks to ensure data integrity and visualization alignment with project requirements across platforms.
• Test interactive features, such as filters, drill-downs, and dashboard actions, ensuring functionality across all tools.
• Troubleshoot and resolve performance, usability, or visualization issues in Tableau, Power BI, and Shiny dashboards.
• Maintain comprehensive documentation of testing processes and develop a checklist for consistent quality across all platforms.

Collaboration and Visualization Strategy

• Collaborate with statisticians, analysts, and data engineers to ensure that visualizations across Tableau, Power BI, and Shiny meet project goals and stakeholder needs.
• Incorporate feedback to refine and enhance dashboards, leveraging the strengths of each visualization tool as needed.
• Train users to effectively interact with dashboards across platforms, empowering them to make data-driven decisions.
• Develop reusable templates, visualization standards, and guidelines to standardize dashboard creation across Tableau, Power BI, and Shiny.
• Provide insights and recommendations to expand the organization’s overall visualization strategy, incorporating best practices across tools.

Reporting and Communication

• Present dashboards and insights to stakeholders, ensuring clear and actionable communication, regardless of the visualization tool used.
• Document dashboard designs and workflows, including data sources, assumptions, methodologies, and design choices for Tableau, Power BI, and Shiny.
• Share progress updates on dashboard development and enhancements across platforms with internal teams.
• Actively participate in team meetings to align on visualization objectives, strategies, and the integration of multiple tools.

Innovation and Continuous Improvement

• Stay updated on the latest features, techniques, and best practices for Tableau, Power BI, Shiny, and other data visualization tools to enhance dashboard functionality.
• Explore and implement innovative visualization techniques and interactive elements to improve user experience across platforms.
• Identify opportunities to incorporate emerging technologies such as augmented analytics, real-time data integration, and advanced visualizations (e.g., geospatial visualizations, predictive analytics dashboards).
• Promote a culture of data-driven decision-making by designing dashboards that effectively communicate key insights and inspire action.
• Actively contribute to the development of best practices, templates, and guidelines for visualizations across the department.
• Participate in workshops, webinars, and training sessions to continuously improve visualization skills and share knowledge with the team.

Culture and Values

• Embrace NEOM’s culture and values.
• Act with honesty and integrity by following best practices and upholding the robust standards and expectations set out in NEOM’s Code of Conduct.
• Maintain fair, ethical, and professional work practices in accordance with NEOM’s values and Code of Conduct.
• Adhere to NEOM’s policies, procedures, and controls to ensure compliance with rules.

EXPERIENCE & QUALIFICATIONS

Knowledge, Skills and Experience

• 7+ Proven experience in designing, developing, and maintaining Tableau dashboards in professional or academic settings.
• Strong skills in preparing and organizing data for Tableau, including the use of Tableau Prep or similar tools.
• Proven track record of developing Tableau dashboards for professional or academic projects.
• Strong portfolio showcasing Tableau dashboards and visualizations, demonstrating an ability to communicate insights effectively.
• Hands-on experience in creating interactive and user-friendly visualizations using Tableau and other visualization software including Power BI and Shiny.
• Proficiency in data analysis and visualization tools such as Tableau, Power BI, Excel, and SQL.
• Understanding of best practices in dashboard design, performance optimization, and storytelling with data.
• Familiarity with integrating Tableau dashboards with various data sources such as databases, spreadsheets, and APIs.
• Basic knowledge of scripting or automation for Tableau tasks is a plus (e.g., Tableau JavaScript API or Python).
• Familiarity with agile project management methodologies is advantageous.

Qualifications

• Bachelor’s degree in Statistics, Data Science, Computer Science, Economics, Business Analytics, or a related field.
• Tableau Desktop Certification or equivalent is highly desirable.
• Advanced coursework or certification in data visualization, business intelligence, or analytics is a plus.

NEOM is committed to attracting and retaining the highest caliber of employees to support NEOM’s vision, mission, and strategy. NEOM sources the best candidates based on fit for the role and searches local and global markets to identify talent.

NEOM is an equal opportunities employer. All qualified applicants will receive consideration for employment without regard to gender, disability, age, or any other form of discrimination/other characteristic protected by applicable local laws, regulations, and ordinances.

As part of our recruitment process, NEOM will undertake reference checks to confirm suitability for the role. All offers of employment are subject to references, evidence of all qualifications and awards, and other background checks being satisfactorily completed. Additionally, all offers are subject to the candidate being able to successfully obtain a work visa to enter and work in the Kingdom of Saudi Arabia.

This job description is not an exhaustive list of duties and responsibilities. The employee may be required to perform additional job-related tasks and duties as assigned. To meet NEOM’s objectives and business needs, the work location is subject to change. Non-office-based roles involve outdoor activities. Candidates should be prepared to work outdoors and on construction sites as part of their job responsibilities.

NEOM uses artificial intelligence as part of its recruitment process to assist and enhance efficiency. However, all final hiring decisions are made by human recruiters, ensuring that NEOM’s employment process remains fair and transparent.

The actions of our team should always support the NEOM Values

Learn more about NEOM’s Values