Data Visualization Designer

Apply now: Data Visualization Specialist/Designer, location is Remote. The start date is ASAP for this 6+ month contract position.

Title: Data Visualization Specialist/Designer
Location: Remote
Start Date: ASAP
Duration: 6+ month contract
Compensation Range: $175 / hour - $185 / hour W2
Benefits: Eligible for Health, Dental, Vision, 401K
Not eligible for Visa sponsorship

Job Description:
Design and deliver high-quality data visualizations and branded assets that translate complex technical information into clear, accurate, and visually compelling outputs.

Day-to-Day Responsibilities:

• Design charts, graphs, diagrams, and infographics from complex datasets
• Translate technical concepts into clear, visually engaging materials
• Build and maintain reusable templates and components in Figma
• Produce branded collateral including decks, one-pagers, and social assets
• Partner with researchers, marketers, and stakeholders to shape data narratives
• Ensure accuracy, consistency, and accessibility across all visual outputs
• Manage multiple projects simultaneously and communicate progress effectively

Requirements:

• 5+ years of experience in visual design with strong data visualization portfolio
• Proficiency in Figma and Adobe Creative Suite (Illustrator, InDesign)
• Ability to translate complex datasets into clear, accurate visualizations
• Strong foundation in typography, color theory, layout, and hierarchy
• Experience working within and extending established brand systems
• Strong communication skills with both technical and non-technical stakeholders
• Ability to manage multiple projects in a fast-paced environment
• Experience in B2B SaaS, AI, or big tech environments

• Familiarity with data visualization accessibility standards (WCAG, colorblind-safe palettes)
• Experience with technical, scientific, or research-based subject matter
• Comfort working with spreadsheets to clean and structure data
• Experience using AI tools to support design workflows
• Background in agency, editorial, or research-driven environments