Data Visualization Specialist
Requirements:
Experience & qualifications
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- 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).
Technical requirements:
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- 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.
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.
Daily Activities:
- Meeting with stakeholders to understand visualization needs and translate them into designs.
- Developing and refining dashboards, charts, infographics, and data visualizations.
- Collaborating with data engineers to ensure data pipelines and sources are functioning correctly.
- Testing visualizations for usability and performance before presenting them to stakeholders.
- Providing training and support to teams in understanding and using visual data effectively.
- Researching and staying updated on new visualization techniques and technologies.