Data Visualization Specialist

Position Title: Data Visualization SpecialistLocation: SingaporeEmployment Type: Full-timeDepartment: Data Analytics / Business Intelligence / InsightsReporting To: BI Manager / Data Analytics Lead / Head of InsightsOverviewThe Data Visualization Specialist is responsible for transforming complex data into clear, actionable, and visually compelling insights to support business decision-making. This role collaborates with data analysts, data engineers, and business stakeholders to design dashboards, reports, and visual analytics that drive strategic and operational decisions.Key Responsibilities1. Data Visualization & ReportingDesign and develop dashboards, interactive reports, and visual analytics using tools such as Tableau, Power BI, Qlik, or Looker.Translate complex datasets into clear and actionable visualizations for business users.Ensure visualizations are accurate, intuitive, and aligned with business objectives.2. Data Analysis SupportCollaborate with data analysts and engineers to understand data sources and business requirements.Validate data quality, completeness, and consistency before visualization.Perform basic analysis to identify trends, patterns, and insights for reporting purposes.3. Stakeholder CollaborationWork closely with business teams to gather requirements for reporting and visualization needs.Present findings, insights, and recommendations in a clear and concise manner.Act as a liaison between technical teams and non-technical stakeholders to ensure reports meet business expectations.4. Process Improvement & Best PracticesDevelop and maintain data visualization standards and best practices.Continuously improve reporting workflows to increase efficiency and usability.Document dashboards, reports, and visualization processes for team reference.Qualifications & RequirementsBachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Business, or related fields.2–5 years of experience in data visualization, business intelligence, or data analytics.Proficiency in visualization tools such as Tableau, Power BI, Qlik, Looker, or similar.Strong understanding of data analysis concepts and basic SQL skills.Excellent attention to detail and ability to translate complex data into clear insights.Strong communication and presentation skills, able to convey technical concepts to non-technical audiences.Knowledge of data governance and data quality principles is a plus.