<p>A Data Visualisation Specialist transforms complex datasets into clear, actionable visual stories that inform business decisions. This role combines design sensibility, statistical understanding and technical skill to produce dashboards and reports that drive insight and engagement.</p>
<p>This job description outlines the responsibilities, profile and qualifications for hiring a Data Visualisation Specialist.</p>
<h2>Data Visualisation Specialist Job Profile</h2>
<p>The Data Visualisation Specialist designs and delivers interactive visualisations and dashboards to support stakeholders across analytics, product and executive teams. They bridge the gap between raw data and decision makers by turning metrics into compelling, easy-to-interpret displays.</p>
<p>Working closely with data engineers, analysts and business leads, the specialist ensures visual outputs are accurate, accessible and aligned to strategic KPIs while maintaining best practice in usability and accessibility.</p>
<h2>Data Visualisation Specialist Job Description</h2>
<p>A Data Visualisation Specialist is responsible for crafting visual narratives that simplify complex information and reveal trends, anomalies and opportunities. The role requires proficiency with visualisation tools such as Tableau, Power BI or D3.js, and a strong grasp of data modelling, statistics and design principles. The specialist translates stakeholder requirements into wireframes, prototypes and final dashboards that are performant and scalable.</p>
<p>Key duties include gathering and refining requirements, cleansing and preparing data sets, selecting appropriate chart types, and iterating on designs based on user feedback. They ensure visualisations adhere to brand and accessibility guidelines, implement filters and interactivity for deeper exploration, and document both the logic and assumptions behind visuals.</p>
<p>The specialist also plays a proactive role in educating teams on how to read and interpret dashboards, suggesting metric definitions and best practices for reporting cadence. They collaborate with analytics and engineering to automate reporting pipelines where possible and champion data literacy across the organisation.</p>
<h2>Data Visualisation Specialist Duties and Responsibilities</h2>
<ul>
<li>Design, build and maintain interactive dashboards and reports using Tableau, Power BI, D3.js or similar tools.</li>
<li>Collaborate with stakeholders to define reporting requirements, KPIs and visualisation goals.</li>
<li>Prepare and transform data for visualisation, ensuring accuracy and consistency.</li>
<li>Choose appropriate visual encodings and chart types that communicate insights effectively.</li>
<li>Optimise performance of dashboards and queries for a responsive user experience.</li>
<li>Implement interactivity, filters and drill-downs to enable self-service analytics.</li>
<li>Document dashboards, data sources, transformations and assumptions.</li>
<li>Ensure visuals comply with accessibility standards and brand guidelines.</li>
<li>Train and support business users on dashboard interpretation and best practices.</li>
<li>Work with data engineers to automate data pipelines and reporting processes.</li>
<li>Conduct quality assurance and validate results against source systems.</li>
<li>Stay current with visualisation trends, tools and methods to continuously improve outputs.</li>
</ul>
<h2>Data Visualisation Specialist Requirements and Qualifications</h2>
<ul>
<li>Bachelor's degree in Data Science, Computer Science, Statistics, Information Design, or related field.</li>
<li>Proven experience in a visualisation role producing dashboards for business stakeholders.</li>
<li>Advanced skills in Tableau, Power BI, Looker Studio or D3.js; familiarity with multiple tools preferred.</li>
<li>Proficiency in SQL for data extraction and transformation.</li>
<li>Experience with data modelling, ETL concepts and working with large datasets.</li>
<li>Strong visual design skills and an understanding of human perception and chart literacy.</li>
<li>Knowledge of statistics and analytical methods to validate findings and avoid misleading visuals.</li>
<li>Familiarity with scripting languages such as Python or R for data preparation and automation.</li>
<li>Excellent communication skills and the ability to translate technical details for non-technical audiences.</li>
<li>Attention to detail, problem-solving mindset and a collaborative approach.</li>
<li>Experience with version control and documentation standards is desirable.</li>
</ul>