Senior UX/UI Designer Data

📍 Job Overview

Job Title: Senior UX/UI Designer Data

Company: knowmad mood

Location: Madrid, Spain

Job Type: FULL_TIME

Category: UX/UI Design, Data Products

Date Posted: April 20, 2026

Experience Level: 5-10 Years

Remote Status: 100% REMOTE

🚀 Role Summary

• Design and optimize user interfaces and user experiences for data-centric products, ensuring intuitive navigation and clear data visualization.

• Collaborate closely with data science, analytics, and business intelligence teams to translate complex analytical requirements into user-friendly digital solutions.

• Enhance the visual design and usability of existing data dashboards, specifically focusing on Tableau environments.

• Define and champion user-centered design best practices and standards for data products within the organization.

• Drive the evolution of user journeys related to data consumption and analytical insights, ensuring a seamless and effective user flow.

📝 Enhancement Note: This role bridges the gap between complex data insights and actionable user experiences, requiring a strong understanding of both design principles and data product development. The emphasis on Tableau suggests a need for practical experience with this specific BI tool.

📈 Primary Responsibilities

• Partner with data teams and business stakeholders to deeply understand analytical needs and translate them into effective, user-centered design solutions.

• Lead the redesign and optimization efforts for existing data dashboards in Tableau, focusing on improving visual appeal, usability, and data comprehension.

• Map out and refine user journeys for individuals interacting with data and analytical outputs, ensuring a logical and efficient flow from data discovery to insight generation.

• Contribute to the development and enforcement of UX/UI design standards and best practices specifically tailored for data products and analytical platforms.

• Create wireframes, mockups, prototypes, and high-fidelity designs for new data features and analytical tools, ensuring consistency and adherence to brand guidelines.

• Work collaboratively with internal teams to integrate and strengthen the overall UX practice within the organization, fostering a user-centric approach across all digital initiatives.

• Conduct user research and usability testing to gather feedback and iterate on designs, ensuring that data products meet user needs and business objectives.

📝 Enhancement Note: The responsibilities highlight a hands-on design role with significant strategic input into the UX framework for data products. The specific mention of Tableau indicates a practical requirement for hands-on experience with this platform.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for a Senior UX/UI role. A strong portfolio demonstrating relevant project experience can often substitute for formal education.

Experience: Minimum of 6 years of professional experience in UX/UI design, with a dedicated focus on at least 2 years in projects involving data products or analytical platforms.

Required Skills:

• Over 6 years of comprehensive experience in User Experience (UX) and User Interface (UI) design.

• At least 2 years of direct experience working on projects related to data products or analytical platforms.

• Proven ability to collaborate effectively with multidisciplinary teams, including data scientists, analysts, engineers, and product managers.

• Strong command of user-centered design methodologies and digital design best practices.

• Demonstrated skill in translating complex analytical requirements into intuitive and effective user experiences.

• Proficiency in communicating design concepts, rationale, and insights clearly and persuasively to diverse stakeholders.

Preferred Skills:

• Hands-on experience designing and optimizing dashboards specifically within Tableau.

• Familiarity with data visualization principles and best practices.

• Experience with user research methodologies, including usability testing and user interviews.

• Knowledge of agile development methodologies and experience working within cross-functional agile teams.

• Familiarity with design systems and their implementation for consistency across data products.

📝 Enhancement Note: The seniority of the role is emphasized by the 6+ years of experience requirement, with a specific carve-out for data-related projects. The C1 English proficiency is a critical requirement for effective collaboration in a remote, international setting.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 distinct projects that demonstrate your expertise in designing data products or analytical platforms.

• For each project, clearly articulate the business problem or analytical need, your design process, the solutions you implemented, and the resulting impact or improvements.

• Include examples of user journey mapping, wireframes, high-fidelity mockups, and interactive prototypes relevant to data interfaces.

• Highlight any experience with Tableau dashboards or similar data visualization tools, detailing your role in their design or enhancement.

Process Documentation:

• Detail your approach to user research and how it informs your design decisions for data-driven applications.

• Explain your methodology for defining UX standards and best practices, particularly in the context of data products.

• Provide examples of how you've iterated on designs based on user feedback and performance metrics to improve data product usability.

📝 Enhancement Note: The portfolio is crucial for demonstrating practical experience with data products and user-centered design. The emphasis on Tableau and the translation of analytical requirements into UX solutions are key areas to highlight.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX/UI Designers in Madrid, Spain, with 6+ years of experience and specialized data product experience, the estimated salary range is €45,000 - €65,000 annually. This estimate considers the cost of living in Madrid and the demand for specialized UX/UI talent in the data analytics space.

Benefits:

• Indefinite contract (Contrato Indefinido) for long-term stability.

• 100% REMOTE work arrangement, offering flexibility and work-life balance.

• Comprehensive internal training programs and access to certifications to support professional development.

• Flexible compensation plan (Plan de retribución flexible) including:

  • Health insurance (seguro médico)
  • Transportation allowance (transporte)
  • Childcare vouchers (tickets guardería)
  • Restaurant vouchers (tickets restaurante)

• Referral program (Plan amigo) rewarding employees for successful candidate recommendations.

• Regular company events, meetups, tech days, and talks for networking and knowledge sharing.

• 26 days of leave annually, comprising 22 days of vacation, 2 days of personal leave, and statutory holidays on December 24th and 31st.

Working Hours: 40-hour work week with flexible scheduling, allowing operations professionals to manage their time effectively and align with project needs.

📝 Enhancement Note: The salary estimate is based on market data for senior design roles in Spain, factoring in the remote aspect and specialized skills. The comprehensive benefits package emphasizes work-life balance and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Transformation, Technology Consulting. knowmad mood operates at the forefront of digital transformation, leveraging innovation and sustainable development to deliver value to clients. The company fosters a creative, digital-first environment.

Company Size: Over 3,000 employees. This large size indicates a well-established organization with diverse teams and potentially robust internal processes, offering opportunities for broad collaboration and impact.

Founded: The founding date is not explicitly stated in the provided information.

Team Structure:

• The UX/UI team is part of a larger digital transformation and technology consulting entity. The role involves close collaboration with specialized "data teams" (likely comprising data scientists, analysts, and BI specialists) and business stakeholders.

• Reporting structure likely places the Senior UX/UI Designer within a design or digital product function, reporting to a Design Lead or Head of Product/Digital.

Methodology:

• Data analysis and insights are central to the company's offerings and client solutions.

• Workflow planning and optimization are critical for delivering digital transformation projects efficiently.

• Automation and efficiency practices are likely employed to streamline processes and enhance client value.

Company Website: https://www.knowmadmood.com/

📝 Enhancement Note: knowmad mood's culture appears to be dynamic, innovation-driven, and focused on talent development. The company's large size suggests a structured yet collaborative environment, with a strong emphasis on cross-functional teamwork, particularly between design and data disciplines.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level position, indicating a need for significant autonomy, strategic thinking, and the ability to mentor junior team members. The role is expected to lead design initiatives for data products, influencing design direction and best practices.

Reporting Structure: The Senior UX/UI Designer will likely report to a Design Manager or a Head of Product/Digital within the organization. Close collaboration with Data Leads and Product Owners is expected.

Operations Impact: The role has a direct impact on the usability and effectiveness of data products, influencing how business stakeholders consume and act upon analytical insights. By improving data product design, this role contributes to better decision-making, increased data adoption, and ultimately, enhanced business outcomes and client satisfaction.

Growth Opportunities:

• Operations Skill Advancement: Opportunities to deepen expertise in UX for data products, data visualization, and potentially explore adjacent areas like product management or data strategy.

• Leadership Development: Potential to grow into a Lead UX/UI Designer or Design Manager role, overseeing teams and defining design strategy for larger initiatives.

• Industry Specialization: Further specialization in UX for complex industries or advanced analytics, becoming a go-to expert in data-driven design.

📝 Enhancement Note: The senior level implies a trajectory towards leadership or specialized expertise within the data UX domain. Growth opportunities are tied to deepening technical skills and taking on more strategic and leadership responsibilities.

🌐 Work Environment

Office Type: While the role is 100% remote, companies like knowmad mood often foster a culture that mimics the collaborative and dynamic environment of a modern office, even in a distributed setting. This means fostering open communication and virtual team-building.

Office Location(s): While the primary listed location is Madrid, Spain, the 100% remote nature means the candidate can work from anywhere within Spain.

Workspace Context:

• Collaborative Environment: Expect a highly collaborative virtual environment where daily interaction with team members and stakeholders is common through digital tools.

• Tools & Technology: Access to industry-standard design and collaboration tools is expected, supporting efficient remote work and design processes.

• Team Interaction: Regular virtual meetings, stand-ups, and design reviews will facilitate interaction and knowledge sharing within the design and data teams.

Work Schedule: A flexible 40-hour work week is offered, allowing for adaptation to project timelines and personal work preferences while ensuring consistent availability for team collaboration and client needs.

📝 Enhancement Note: The remote work environment emphasizes the need for strong self-discipline, excellent digital communication skills, and proactive engagement with team members. Flexibility in hours is a key perk, but core collaboration times will likely exist.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess experience, skills, and fit for the role, with a particular focus on data product design examples.

• Technical Interview: A discussion with a hiring manager or senior designer to delve deeper into your UX/UI process, methodologies, and experience with data products and Tableau. This may include a portfolio walkthrough.

• Case Study/Challenge: You may be asked to complete a design challenge or present a case study from your portfolio that demonstrates your approach to solving complex data UX problems.

• Stakeholder/Team Interview: An opportunity to meet with potential collaborators from data teams and business units to assess communication skills, collaboration style, and cultural fit.

• Final Interview: A conversation with a senior leader to discuss career aspirations, company alignment, and finalize any terms.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your experience with data products, analytical dashboards, and user-centered design for complex information.

• Tell a Story: For each project, clearly articulate the problem, your role, your design process (research, ideation, prototyping, testing), the solutions, and the quantifiable outcomes or impact.

• Highlight Tableau: If you have Tableau experience, dedicate specific attention to showcasing dashboards you've designed or improved, explaining your design decisions and their effectiveness.

• Showcase Collaboration: Include examples or descriptions of how you've worked with data teams and stakeholders, demonstrating your ability to translate technical needs into user-friendly designs.

• Prepare for Questions: Be ready to discuss your design rationale, trade-offs made, and how you've measured the success of your designs.

Challenge Preparation:

• Understand the Context: If given a design challenge, thoroughly research knowmad mood and their work in digital transformation and data.

• Focus on Process: Emphasize your systematic approach to problem-solving, user research, and iterative design, even if the challenge is time-bound.

• Data-Driven Rationale: Be prepared to justify your design decisions with user insights, business objectives, and an understanding of data principles.

• Clarity and Communication: Practice presenting your solutions clearly and concisely, articulating your thought process and the potential impact of your design.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also the ability to translate complex data needs into user-friendly solutions and collaborate effectively within a data-centric environment. A strong, relevant portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Axure RP.

• Data Visualization & Dashboards: Tableau is explicitly mentioned; experience with Power BI, QlikView, or similar BI tools would also be beneficial.

• Collaboration & Project Management: Jira, Confluence, Asana, Trello, Slack, Microsoft Teams.

Analytics & Reporting:

• Experience interpreting data from analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to inform design decisions.

CRM & Automation:

• While not directly a CRM role, understanding how data flows from CRM systems (e.g., Salesforce) into analytical platforms can be advantageous.

• Familiarity with workflow automation tools for design handoffs or process optimization in design workflows.

📝 Enhancement Note: Proficiency in standard UX/UI design tools is expected, with a strong emphasis on Tableau for dashboard design. An understanding of how data is generated and consumed through various platforms will be a significant asset.

👥 Team Culture & Values

Operations Values:

• Collaboration: A strong emphasis on teamwork and open communication, essential for working effectively across diverse, remote teams and with data-focused colleagues.

• Innovation: A drive to create novel solutions and push the boundaries of digital transformation, encouraging creative problem-solving.

• Commitment: Dedication to delivering high-quality work that meets client needs and drives tangible business value.

• Fun: An element of enjoyment and positive engagement in the work environment, fostering a healthy and motivating culture.

• Trust: Building confidence in colleagues and fostering an environment of transparency and reliability.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with data scientists, analysts, and business leaders, requiring clear communication and a shared understanding of project goals.

• Process Review: An open culture for feedback and iterative design, encouraging continuous improvement of both products and processes.

• Knowledge Sharing: Active participation in sharing insights, best practices, and learnings through internal meetups, talks, and documentation.

📝 Enhancement Note: The company's values—collaboration, innovation, commitment, fun, and trust—shape the work environment. For this role, strong collaborative skills and a proactive approach to knowledge sharing will be key to success in a remote setting.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Complex Data: The primary challenge will be distilling intricate data sets and analytical concepts into intuitive and actionable user experiences.

• Stakeholder Alignment: Gaining consensus and managing expectations among diverse stakeholders with varying levels of technical understanding.

• Evolving Data Landscape: Staying abreast of new data technologies, analytics tools, and design trends to ensure data products remain cutting-edge.

• Remote Collaboration Dynamics: Maintaining effective communication, team cohesion, and design quality in a fully remote environment.

Learning & Development Opportunities:

• Specialized UX for Data: Deepen expertise in areas like information architecture for data, advanced data visualization UX, and user research for analytical tools.

• Industry Conferences & Certifications: Opportunities to attend relevant UX, data, and design conferences, and pursue certifications that enhance professional credibility.

• Mentorship & Leadership: Potential to mentor junior designers, lead design sprints, and contribute to the strategic direction of UX within knowmad mood's data initiatives.

📝 Enhancement Note: The role presents significant opportunities to tackle complex design challenges at the intersection of data and user experience, fostering growth through continuous learning and leadership development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate complex analytical data into a simple, user-friendly interface. What was your process, and what was the outcome?" (Focus on your problem-solving approach and impact metrics.)

• "How do you approach collaboration with data scientists and business stakeholders who may have different priorities or technical understanding?" (Highlight your communication and stakeholder management skills.)

Company & Culture Questions:

• "What do you know about knowmad mood and our approach to digital transformation?" (Research the company's website, values, and recent projects.)

• "How do you contribute to a positive and collaborative team culture, especially in a remote setting?" (Align your response with their stated values: collaboration, fun, trust.)

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of your career and the types of projects you specialize in.

• Deep Dive into Data Projects: Select 2-3 key projects that best showcase your data product design experience. For each, clearly define the problem, your specific contributions, your design process (user research, wireframing, prototyping, testing), and the measurable results.

• Tableau Focus: If you have Tableau experience, ensure you have a specific section or project that highlights your dashboard design skills, explaining your UI/UX decisions.

• Collaborative Examples: Be ready to discuss how you collaborated with data teams and stakeholders, illustrating your ability to bridge technical and user needs.

• Conciseness and Clarity: Keep your presentations focused and engaging, allowing time for Q&A.

📝 Enhancement Note: Preparation should focus on demonstrating a strong understanding of UX principles applied to data, proficiency with relevant tools like Tableau, and excellent collaborative and communication skills suitable for a remote, data-driven environment.

📌 Application Steps

To apply for this Senior UX/UI Designer Data position:

• Submit your application through the knowmad mood teamtailor portal.

• Customize Your Resume: Tailor your resume to highlight your 6+ years of UX/UI experience, specifically emphasizing your 2+ years working with data products and analytical platforms. Use keywords from the job description.

• Curate Your Portfolio: Ensure your portfolio prominently features 2-3 strong case studies of data product or dashboard design projects, clearly detailing your process and impact. If you have Tableau experience, make sure it's visible.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on how you translate complex data requirements into user-centric solutions and collaborate with technical teams.

• Research knowmad mood: Understand their company culture, values, and their approach to digital transformation and data. Prepare thoughtful questions for the interviewers.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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