Negotiable
Outside
Remote
USA
Summary: The Data Visualization Consultant will enhance an existing visualization prototype using Vega-Lite and HTML, focusing on visual quality, accessibility, data integration, and architectural clarity to support QA and UAT workflows. This role requires hands-on experience with modern data visualization practices and a strong understanding of accessibility standards. The consultant will work remotely for a duration of 6 months. Key responsibilities include improving visualizations, integrating datasets, developing HTML prototypes, and providing architectural consultation.
Key Responsibilities:
- Improve existing Vega-Lite charts with refined titles, axis labels, legends, and consistent styling.
- Implement accessibility features, including alt text, linked data tables, and keyboard-accessible design.
- Refine trend lines, small multiples, and evaluate additional visualization formats such as proportional bar charts.
- Create reusable style templates and document all visualization properties and standards.
- Integrate full multi-year Community Health Survey datasets into the prototype.
- Ensure visualizations perform efficiently while maintaining accuracy and consistency across outputs.
- Build a simple, structured HTML page to host and organize all visualizations for QA and UAT review.
- Evaluate rendering options (server-side SVG vs. client-side SVG/Canvas) for optimal performance and accessibility.
- Develop a high-level architectural diagram with recommended rendering approaches.
Key Skills:
- Strong, hands-on experience with Vega-Lite, HTML, and modern data-visualization practices.
- Knowledge of WCAG accessibility standards and best practices for accessible data displays.
- Experience working with structured, multi-year datasets and integrating them into visualization workflows.
- Ability to clearly document styles, components, and architectural considerations.
- Strong communication and consulting skills.
- Experience with public-health datasets or similar survey-based data.
- Familiarity with QA/UAT workflows and browser-based visualization integration.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Data Visualization Consultant (HTML & Vega-Lite)
Location: Remote
Duration: 6 Months
Job Description: The Data Visualization Consultant will enhance and expand an existing visualization prototype using Vega-Lite and HTML. This role focuses on improving visual quality, accessibility, data integration, and architectural clarity to support QA and UAT workflows.
Key Responsibilities:
1. Visualization Enhancement
Improve existing Vega-Lite charts with refined titles, axis labels, legends, and consistent styling.
Implement accessibility features, including alt text, linked data tables, and keyboard-accessible design.
Refine trend lines, small multiples, and evaluate additional visualization formats such as proportional bar charts.
Create reusable style templates and document all visualization properties and standards.
2. Dataset Integration
Integrate full multi-year Community Health Survey datasets into the prototype.
Ensure visualizations perform efficiently while maintaining accuracy and consistency across outputs.
3. HTML Prototype Development
Build a simple, structured HTML page to host and organize all visualizations for QA and UAT review.
4. Architecture Consultation
Evaluate rendering options (server-side SVG vs. client-side SVG/Canvas) for optimal performance and accessibility.
Develop a high-level architectural diagram with recommended rendering approaches.
Required Skills:
Strong, hands-on experience with Vega-Lite, HTML, and modern data-visualization practices.
Knowledge of WCAG accessibility standards and best practices for accessible data displays.
Experience working with structured, multi-year datasets and integrating them into visualization workflows.
Ability to clearly document styles, components, and architectural considerations.
Strong communication and consulting skills.
Preferred Skills:
Experience with public-health datasets or similar survey-based data.
Familiarity with QA/UAT workflows and browser-based visualization integration.