A Data Visualization Specialist transforms complex data sets into visually compelling and easy-to-understand insights, enabling stakeholders to make data-driven decisions. This role requires expertise in data visualization tools, a strong understanding of data structures, and the ability to communicate stories through visuals. The ideal candidate will collaborate with data engineers, business intelligence teams, and other departments to deliver impactful visual representations of business metrics and analytical data.
Key Responsibilities:
- Data Visualization:
- Design and create engaging, intuitive, and effective visualizations that simplify complex datasets.
- Develop dashboards and reports using tools like Tableau, Power BI, D3.js, or similar.
- Translate business needs into clear visualizations and user-friendly interfaces.
- Data Analysis:
- Collaborate with data engineers and analysts to extract, clean, and manipulate data.
- Identify trends, patterns, and actionable insights from large datasets.
- Interpret and convey findings through compelling narratives.
- Collaboration:
- Work closely with cross-functional teams (e.g., Product, Marketing, Sales) to gather requirements and feedback.
- Present visual insights to non-technical stakeholders and adapt visuals based on audience needs.
- Tool and Process Development:
- Enhance the visualization framework by creating reusable templates, and optimizing visual tools and workflows.
- Provide input on the selection of data visualization technologies and solutions.
- Stay up to date on industry trends and the latest technologies in data visualization.
Quality Assurance
- Ensure that visualizations are accurate, accessible, and in compliance with data integrity standards.
- Test visualizations for functionality, data accuracy, and responsiveness across different devices.
Requirements:
- Experience qualifications
- Relevant tertiary qualification: Data Science, Computer Science, Graphic Design, Statistics, or a related field. Equivalent work experience is also considered.
- 4+ years of experience in data visualization, data analysis, or a related field.
- Experience with visualization tools like Tableau, Power BI, D3.js, or similar.
- Portfolio showcasing previous data visualization work (e.g., dashboards, charts, interactive visualizations).
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- Technical requirements:
- Familiarity with SQL and querying databases.
- Basic knowledge of programming languages such as Python, R, or JavaScript for data manipulation and visualization.
- Understanding of data structures and ability to work with large datasets.
- Experience with statistical analysis and performance metrics.
- Proficient in utilising designs software such as Figma.
- Soft Skills:
- Excellent communication skills with the ability to explain complex data insights to non-technical stakeholders.
- Strong attention to detail and a passion for storytelling with data.
- Ability to work independently as well as collaboratively within cross-functional teams.
- Time management skills and ability to meet tight deadlines.
