Hire Big Data UX Designers
Connect with Big Data UX Designers from Latin America. Specialized in designing intuitive interfaces for complex data tools with setup in just 21 days.
Hire Remote Big Data UX Designers
Emilia is a designer who builds elegant, usable, and human-centered digital products.
- UX Research
- UI Design
- Prototyping
- Design Systems
- User Experience
Fátima is a visual designer combining brand identity with functional aesthetics.
- Interface Design
- Design Systems
- Accessibility Standards
- Style Guides
- Digital Illustration
Elías is a designer focused on building clean, usable, and consistent interfaces.
- UI Design
- Design Systems
- Wireframing
- Prototyping
- Interaction Design
Luis Alberto is a designer shaping intuitive and consistent digital interfaces.
- UI Components
- Visual Storytelling
- Figma Mastery
- User Personas
- Mobile UI Design
Iván is a designer focused on building intuitive digital products with clean execution.
- UI/UX Foundations
- Prototype Testing
- Microinteractions
- Design Handoff
- Brand Alignment
"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."
“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”
“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”
Big Data UX Designers Skills
Dashboard Design
Create intuitive interfaces for analytics and insights.
Information Hierarchy
Organize data layouts for clarity and efficiency.
Complex Data Simplification
Translate dense data into clear visual stories.
Tool Experience
Design with Looker, Tableau, or custom frontends.
UX Research
Test user needs to improve data tool adoption.
Design Systems
Create scalable components for enterprise data tools.
Big Data UX Designers Soft Skills
Empathy
Design interfaces that support diverse data users.
Information Clarity
Simplify dense data into usable flows and visuals.
Communication
Work closely with engineers and stakeholders.
Problem Solving
Improve usability for complex decision-making tools.
Collaboration
Coordinate with data teams and product leads.
Attention to Detail
Ensure accuracy in visualizing data points.
How to Hire Big Data UX Designers with Lupa
Bridge complex data systems with user-first design. Partner through our Latam Tech Recruiting, grow your team with Tech Staffing Services, or scale with our RPO solution.
Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.
Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.
We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.
Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.
Top candidates ready for your assessment. We handle interview logistics and feedback collection—ensuring smooth evaluation. Not fully convinced? We iterate until you find the perfect fit.
We manage contracting, onboarding, and payment to your team seamlessly. Our partnership extends beyond hiring—providing retention support and strategic guidance for the long-term growth of your LatAm team.
How to Write an Effective Job Post to Hire Big Data UX Designers
Recommended Titles
- Data Visualization UX Designer
- Big Data Interface Designer
- UX Designer – Data Products
- Data Dashboard Designer
- UX Architect – Analytics Tools
- Enterprise UX Designer
Role Overview
- Tech Stack: Skilled in Figma, Tableau, D3.js, and data storytelling tools.
- Project Scope: Design user interfaces for big data platforms and analytics tools.
- Team Size: Work closely with data scientists, engineers, and PMs in teams of 4–6.
Role Requirements
- Years of Experience: 3+ years in data-centric UX design roles.
- Core Skills: Data visualization, interaction design, dashboard UX, and accessibility.
- Must-Have Technologies: Figma, D3.js, Tableau, Looker, Adobe XD.
Role Benefits
- Salary Range: $85,000 – $140,000 depending on industry and UX maturity.
- Remote Options: Remote with optional co-working and regional flexibility.
- Growth Opportunities: Shape enterprise data tools with high-visibility design work.
Do
- Emphasize ability to design for data-heavy applications
- Include experience with dashboard and analytics UX
- Mention tools like Figma, Tableau, or Power BI
- Highlight skills in simplifying complex data interactions
- Use user-centric and data-visual clarity language
Don't
- Don’t generalize as UI/UX without data-specific experience
- Avoid skipping clarity on tools like Tableau, Power BI, Figma
- Don’t ignore interaction design for complex datasets
- Refrain from listing only visual or aesthetic skills
- Don’t omit use cases for dashboards or data narratives
Top Big Data UX Designer Interview Questions
Key questions to assess Big Data UX Designer skills
How do you design interfaces for complex data systems?
Look for emphasis on hierarchy, filtering, clarity, and responsiveness for large-scale dashboards or tools.
What methods do you use to translate data workflows into UX?
Expect journey mapping, stakeholder interviews, and translating backend logic into intuitive UI flows.
How do you validate usability for data-heavy interfaces?
They should mention usability testing, performance feedback loops, and rapid prototyping for iteration.
What tools do you use for prototyping and handoff?
Expect Figma, Adobe XD, or Sketch, plus experience working with engineers to implement in frameworks like React or Angular.
Can you describe a UX challenge from a big data product?
Look for scenarios with complexity in filters, visual overload, or making large datasets accessible and useful.
How do you translate complex data workflows into user-friendly interfaces?
Expect use of journey mapping, user interviews, and iterative wireframing to simplify technical flows.
Describe a challenge where users struggled to navigate your data dashboard.
Look for root cause analysis through usability testing and clarity-driven design improvements.
How do you balance visual complexity with clarity in big data UI?
Expect information hierarchy, progressive disclosure, and interactive elements for layered insight.
What’s your strategy when conflicting feedback comes from technical and non-technical users?
Look for user segmentation, task-based testing, and prioritized experience alignment.
How do you validate the usability of a big data product before release?
Expect remote user testing, A/B testing, analytics review, and stakeholder walkthroughs.
Tell me about a time you designed for users navigating complex data systems.
Expect user research insights, interface simplification, and visual hierarchy examples.
How do you balance data density with usability in dashboards?
Expect prioritization techniques, UX testing cycles, and stakeholder collaboration.
Describe how you handle conflicting feedback from technical and non-technical users.
Expect synthesis of insights, prioritization by user needs, and iterative design.
Have you worked on cross-functional analytics product teams?
Look for agile rituals, shared terminology, and collaborative prototyping practices.
How do you handle ambiguous design requirements in data-heavy tools?
Expect structured discovery, validation with end users, and low-fi to hi-fi design flow.
- Minimal understanding of data-heavy user environments
- Fails to simplify dashboards for non-technical users
- Designs with no performance or visualization limits in mind
- Weak storytelling with data through UI elements
- Neglects accessibility in information-dense layouts
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