DISEÑADOR UX

📍 Job Overview

Job Title: Diseñador UX (UX Designer)

Company: knowmad mood

Location: Las Rozas de Madrid, Community of Madrid, Spain (Remote Option Available)

Job Type: Full-Time

Category: User Experience (UX) Design / Data Analytics UX

Date Posted: March 23, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote (Optional office attendance)

🚀 Role Summary

• This role focuses on enhancing the user experience and visual design of data analytics dashboards, specifically within Tableau and potentially Power BI.

• The position requires the design and optimization of user journeys for data consumption and analytical insights, bridging the gap between technical data teams and business stakeholders.

• Key responsibilities include translating complex analytical needs into intuitive and user-friendly interfaces, ensuring clarity and accessibility of data.

• The UX Designer will play a crucial role in establishing and consolidating UX best practices and standards within the organization, particularly for data products.

📝 Enhancement Note: This role is a specialized UX position focused on the intersection of User Experience Design and Data Analytics. While the title is "Diseñador UX", the core responsibilities and required skills lean heavily into applying UX principles to data visualization tools like Tableau and Power BI, and optimizing how users interact with and derive insights from data. The "4 years of experience" suggests a mid-level professional who can independently contribute to design initiatives and potentially mentor others.

📈 Primary Responsibilities

• Enhance the visual design and user experience of existing Tableau dashboards, ensuring clarity, usability, and aesthetic appeal.

• Design and optimize user journeys related to data consumption and analytical insight generation, making complex data interactions seamless.

• Collaborate closely with data teams (engineers, analysts) and business stakeholders to deeply understand analytical requirements and translate them into intuitive user experiences.

• Contribute to the definition and implementation of UX best practices and design standards specifically for data products and analytical tools.

• Work with the internal team to establish and consolidate the UX practice within the organization, fostering a user-centric approach to data solutions.

• Conduct user research and usability testing on data dashboards and analytical interfaces to gather feedback and drive iterative improvements.

• Create wireframes, mockups, prototypes, and high-fidelity designs for data visualizations and analytical workflows.

• Advocate for the user throughout the product development lifecycle, ensuring that data-driven decisions are informed by user needs and behaviors.

📝 Enhancement Note: The responsibilities clearly indicate a need for a UX designer with a strong understanding of data visualization principles and the ability to work with technical teams. The emphasis on "user journeys related to data consumption" and "translating analytical needs into user experiences" highlights the specialized nature of this role.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 4 years of professional experience in User Experience (UX) Design.

• Demonstrated experience in designing and optimizing user interfaces for data visualization tools and analytical platforms.

Required Skills:

• UX Design Expertise: Strong understanding of UX principles, user-centered design methodologies, and design thinking.

• Data Visualization Design: Proven ability to design clear, intuitive, and effective data visualizations and dashboards.

• User Journey Mapping: Experience in mapping and optimizing user flows for data consumption and analytical tasks.

• Prototyping & Wireframing: Proficiency with design tools like Figma, Sketch, Adobe XD, or similar for creating wireframes, mockups, and interactive prototypes.

• Collaboration Skills: Excellent communication and interpersonal skills to effectively collaborate with technical and business teams.

Preferred Skills:

• Tableau Proficiency: Hands-on experience designing or improving dashboards within Tableau.

• Power BI Knowledge: Familiarity with Power BI for dashboard design and optimization.

• Data Analysis Understanding: Basic understanding of data analysis concepts and how users interact with analytical insights.

• User Research & Testing: Experience planning and conducting usability studies and user interviews.

• Agile Methodologies: Familiarity with Agile development processes.

📝 Enhancement Note: Given the 4-year experience requirement and the specific focus on data analytics tools, candidates with a portfolio showcasing prior work on dashboards, BI tools, or data-driven applications will be significantly advantaged. The "valued" mention of Tableau and Power BI suggests these are strong differentiators.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A strong portfolio demonstrating a minimum of 4 years of UX design experience, with a particular emphasis on projects involving data visualization, dashboard design, or analytical tools.

• Case studies that clearly articulate the problem, your design process, the solutions implemented, and the measurable impact or improvements achieved (e.g., increased data comprehension, improved user efficiency, enhanced user satisfaction).

• Examples of wireframes, user flows, mockups, and high-fidelity designs for complex interfaces, ideally related to data analytics or reporting.

Process Documentation:

• Showcase your process for user research, ideation, prototyping, and user testing, explaining how you iterate based on feedback.

• Provide examples of how you define and document user journeys, information architecture, and interaction design specifications for data-driven products.

• Illustrate your approach to collaborating with developers and stakeholders, including how you hand off designs and ensure implementation accuracy.

📝 Enhancement Note: For this role, a portfolio is paramount. It's not just about visual design but about demonstrating a structured approach to solving UX problems within the data analytics domain. Candidates should be prepared to walk through their design decisions and the rationale behind them, especially concerning how their designs facilitate data consumption and analysis.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Indefinite Contract: Permanent employment from day one, offering job security.

• Flexible Work Model: Fully remote work with the option to utilize company offices if desired.

• Flexible Working Hours: Core hours likely between 8:30 AM and 6:00 PM, with a flexible start and end time.

• Intensive Fridays: Friday work schedule is typically 8:00 AM to 3:00 PM.

• Summer Intensive Schedule: (July and August) 8:00 AM to 3:00 PM.

• Generous Vacation: 22 days of annual leave plus 2 additional days of personal leave.

• Paid Holidays: December 24th and 31st are also days off.

• Flexible Remuneration: Option for 12 or 14 salary payments per year.

• Retribución Flexible (Tax-Advantaged Benefits):

  • Restaurant Card
  • Nursery Voucher
  • Medical Insurance
  • Training allowances
  • Other benefits with fiscal advantages.

• Advantage Club: Discounts on technology, leisure activities, and training.

• Continuous Training: Access to Udemy Business, language courses, official certifications, and technical training.

• Career Plan: Dedicated support for professional growth, specialization, or taking on new challenges.

• Comprehensive Wellbeing Programs: Initiatives focused on nutrition, physical activity, and emotional balance.

• Work-Life Balance Assistance (+VIDA): 24/7 personal and family assistance.

• Inclusive Environment: Commitment to a diverse and multicultural workplace.

• Social Events: Regular activities to foster team connection and camaraderie.

Working Hours:

• Standard full-time hours, with significant flexibility. The core workday likely extends from 8:30 AM to 6:00 PM, but the flexible entry and exit times offer adaptability. Friday and summer schedules are intensive, allowing for earlier departures.

📝 Enhancement Note: The salary estimate is based on general market data for UX designers in Spain with 4 years of experience. The extensive benefits package reflects a company that prioritizes employee well-being and professional development, which is a significant draw for experienced professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Transformation, Technology Consulting. knowmad mood operates at the forefront of digital transformation, leveraging technology to drive innovation for its clients.

Company Size: Over 3,000 employees. This indicates a large, established, and dynamic organization with a significant market presence. For operations professionals, this means access to resources, structured processes, and opportunities for specialization within a large framework.

Founded: The company description implies a relatively modern founding, as it emphasizes being at the "vanguard of technology" and "constant evolution." (Specific founding date not provided in raw data, but inferred from context).

Team Structure:

• The UX team is likely part of a broader digital transformation or product development division, working closely with Data teams and Business Stakeholders.

• Reporting structure will likely involve a UX Lead or a Head of Digital Design, with direct collaboration lines to Data Engineering, Data Science, and Business Unit leaders.

Methodology:

• Data Analysis & Insights: The company's focus on digital transformation and data analytics implies a data-driven approach to decision-making and service delivery.

• Workflow Planning & Optimization: A significant emphasis will be placed on designing efficient workflows and optimizing processes, particularly in how users interact with data.

• Automation & Efficiency: As a digital transformation leader, knowmad mood likely champions automation and efficiency improvements across client projects and internal operations.

Company Website: https://knowmadmood.com

📝 Enhancement Note: The company culture emphasizes collaboration, innovation, fun, and trust, which are vital for a UX role that requires deep teamwork and creative problem-solving. The large company size suggests a structured environment with defined career paths.

📈 Career & Growth Analysis

Operations Career Level: Mid-Level UX Designer. This role is designed for an individual with foundational experience who can independently contribute to design projects and begin shaping specific areas of UX within the organization, particularly around data products.

Reporting Structure: The UX Designer will likely report to a UX Lead, Design Manager, or potentially a Head of Product/Digital Transformation. They will collaborate extensively with Data Analysts, Data Engineers, Product Owners, and Business Stakeholders.

Operations Impact: The role directly impacts how clients and internal teams consume and leverage data. By improving the user experience of dashboards and analytical tools, this position contributes to more informed decision-making, increased operational efficiency, and ultimately, greater business value derived from data.

Growth Opportunities:

• Specialization: Deepen expertise in UX for Data Analytics, becoming a go-to expert for complex data visualization and interaction design challenges.

• Leadership: Progress to a Senior UX Designer or UX Lead role, potentially managing a small team or overseeing key UX initiatives and mentoring junior designers.

• Cross-functional Mobility: Leverage UX skills in other product development or digital transformation areas within the company.

• Continuous Learning: Access to extensive training resources (Udemy, certifications) to stay abreast of the latest UX trends, tools, and data analytics technologies.

📝 Enhancement Note: The clear emphasis on career planning, continuous training, and specialization within the benefits package suggests that knowmad mood invests in the long-term development of its employees, offering a structured path for growth beyond the initial mid-level role.

🌐 Work Environment

Office Type: Flexible model, with the option to work remotely or from company offices. This suggests a modern, adaptable workspace designed to support various work styles.

Office Location(s): Calle Jacinto Benavente, 2, Las Rozas de Madrid, 28232, Spain. This location is available as an option, but not mandatory.

Workspace Context:

• The environment is described as inclusive, diverse, and multicultural, fostering collaboration and innovation.

• Expect access to modern digital tools and technologies necessary for UX design, data analytics, and cross-functional communication.

Work Schedule:

• A flexible schedule is a key feature, allowing employees to manage their time effectively. The intensive Friday and summer schedules are particularly attractive for work-life balance. This flexibility is well-suited for the demands of UX design, which often requires deep focus and creative problem-solving.

📝 Enhancement Note: The "remote OK" status and optional office attendance cater to modern work preferences, offering autonomy and flexibility. The company's commitment to "Conciliación +VIDA" (Work-Life Balance) further reinforces a supportive work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and portfolios to assess basic qualifications and experience.

• Technical Interview / Portfolio Review: A dedicated session to deep-dive into your portfolio. Expect to present 1-2 key projects, explaining your role, design process, challenges, and outcomes. This is where the focus on data analytics UX will be critical.

• Skills Assessment / Case Study: You might be given a small design challenge or asked to elaborate on how you would approach a specific UX problem related to data dashboards or user journeys.

• Team/Stakeholder Interviews: Meetings with potential team members (e.g., Data Analysts, Product Managers) and business stakeholders to assess collaboration style, communication skills, and cultural fit.

• Final Interview: Likely with a senior leader (e.g., Head of Digital Design or relevant department head) to discuss overall fit, career aspirations, and finalize the offer.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your experience with data visualization, dashboard design, and optimizing user journeys for analytical purposes.

If you don't have direct data analytics UX projects, highlight transferable skills from complex interface design or information architecture.

• Structure Your Case Studies: For each project, clearly outline:

  • The Challenge/Problem Statement
  • Your Role and Responsibilities
  • The Design Process Undertaken (Research, Ideation, Design, Testing)
  • Key Design Decisions and Rationale (especially how you addressed data complexity)
  • The Solution (visuals of wireframes, mockups, final designs)
  • Outcomes and Impact (quantifiable metrics if possible, e.g., improved user efficiency, reduced error rates, increased adoption)

• Quantify Impact: Wherever possible, use data to demonstrate the success of your designs. Even if you don't have direct metrics, discuss how your design choices were intended to achieve specific business or user goals.

• Highlight Collaboration: Show examples of how you worked with technical teams and stakeholders to achieve project success.

Challenge Preparation:

• Be prepared to discuss your problem-solving approach. Think about how you would simplify complex data interactions, design for different user segments, or improve the usability of a Tableau/Power BI dashboard.

• Practice articulating your design rationale clearly and concisely, focusing on user needs and business objectives.

📝 Enhancement Note: The emphasis on "data products" and "analytical needs" means your portfolio should strongly reflect your ability to handle complex information and present it intuitively. If direct data UX experience is limited, emphasize complex information design or systems thinking in other projects.

🛠 Tools & Technology Stack

Primary Tools:

• UX Design Software: Proficiency in industry-standard tools such as Figma, Sketch, Adobe XD, InVision, or similar for wireframing, prototyping, and high-fidelity design.

• Tableau: Experience in designing or improving dashboards within Tableau is highly valued. Understanding its capabilities and limitations from a UX perspective is key.

• Power BI: Familiarity with Power BI is also a significant advantage, indicating versatility in BI tool design.

Analytics & Reporting:

• User Analytics Tools: Familiarity with tools like Google Analytics, Mixpanel, or Amplitude could be beneficial for understanding user behavior on digital products, though not explicitly stated as a requirement.

• Data Visualization Libraries/Tools: While not directly designing code, understanding how data visualization libraries (e.g., D3.js) work can inform design decisions.

CRM & Automation:

• While not directly involved in CRM management, understanding how data flows from CRM systems to analytical platforms can be advantageous. Familiarity with project management tools (e.g., Jira, Asana) is also common.

📝 Enhancement Note: The explicit mention of Tableau and Power BI as valued skills is a strong indicator of the primary technology focus for this role. Candidates should be prepared to discuss their experience with these tools and showcase relevant design work.

👥 Team Culture & Values

Operations Values:

• Collaboration: Emphasized as a core value, crucial for working with diverse technical and business teams. Expect to actively participate in cross-functional discussions and design reviews.

• Innovation: The company is at the "vanguard of technology," suggesting a culture that encourages new ideas and creative solutions, especially in digital transformation.

• Commitment: A strong sense of dedication to delivering high-quality work and achieving client/project success.

• Fun: The inclusion of "fun" as a value indicates a desire for a positive and engaging work environment, even amidst challenging projects.

• Trust: A foundation for open communication and effective teamwork, essential for remote and hybrid collaboration.

Collaboration Style:

• Cross-functional Integration: Expect to be embedded within project teams, working closely with data professionals and business stakeholders to ensure design solutions align with analytical goals and business needs.

• Process Review & Feedback: A culture that likely encourages constructive feedback on designs and processes, with regular design critiques and iteration cycles.

• Knowledge Sharing: Opportunities to share UX insights and best practices with other teams, contributing to the overall growth of UX within the organization.

📝 Enhancement Note: The company's stated values – collaboration, innovation, commitment, fun, and trust – are highly relevant to a UX role that thrives on teamwork, creative problem-solving, and building strong relationships across departments.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Technical & Business Gaps: Effectively translating complex data concepts and analytical requirements into user-friendly designs for non-technical stakeholders.

• Standardizing UX for Data Products: Establishing and maintaining consistent UX standards across a variety of data dashboards and analytical tools within a large organization.

• Balancing User Needs with Technical Constraints: Designing intuitive experiences that are feasible within the technical limitations of tools like Tableau and Power BI.

• Adapting to Evolving Data Technologies: Staying current with advancements in data analytics and visualization tools and how they impact user experience.

Learning & Development Opportunities:

• UX Skill Advancement: Opportunities to deepen expertise in specific areas of UX, such as advanced data visualization techniques, interaction design for complex systems, or user research methodologies.

• Industry Conferences & Certifications: Access to training budgets for attending relevant conferences (e.g., UX, data visualization) and obtaining certifications.

• Mentorship & Leadership: Potential to be mentored by senior designers or to mentor junior team members, paving the way for leadership roles.

📝 Enhancement Note: The challenges presented are typical for specialized UX roles within data-centric environments. The company's commitment to continuous training and career development provides a strong framework for addressing these challenges and fostering professional growth.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex data visualization project you worked on. What were the challenges, and how did your UX design contribute to its success?"

  • Preparation: Focus on a case study from your portfolio that directly addresses data, analytics, or complex information design. Clearly articulate the problem statement, your design process, key decisions, and the impact. Quantify results if possible.

• "How would you approach designing a new dashboard in Tableau for a sales team to track their pipeline?"

  • Preparation: Think about the user (sales team), their goals, the data available, and the key metrics they need to see. Outline your steps: user research, defining KPIs, sketching layouts, prototyping, and testing. Emphasize how you'd ensure clarity and actionability.

• "How do you collaborate with data engineers and business stakeholders to ensure your UX designs meet both user needs and technical feasibility?"

Company & Culture Questions:

• "What interests you about knowmad mood's approach to digital transformation and UX?"

  • Preparation: Research the company's website, recent projects, and LinkedIn presence. Align your interests with their stated values (innovation, collaboration, technology focus) and your desire to work on data-centric UX challenges.

• "How do you see yourself contributing to our UX practice, especially within the context of data products?"

  • Preparation: Draw on your experience and the company's stated needs. Discuss how you can bring best practices, a user-centric mindset, and specific skills (e.g., Tableau UX) to enhance their offerings.

• "Describe a time you had to influence stakeholders to adopt a particular UX solution. What was the outcome?"

Portfolio Presentation Strategy:

• Select 1-2 High-Impact Projects: Choose projects that best align with the role's requirements (data visualization, dashboard design, complex interfaces).

• Tell a Story: Guide the interviewer through your design process, emphasizing problem-solving and iterative improvement.

• Showcase Process, Not Just Polish: While polished visuals are good, demonstrating your thinking, research, and iteration process is more critical.

• Quantify Outcomes: If possible, present metrics that show the positive impact of your designs on users or business objectives.

• Be Ready for Technical Questions: Understand the limitations and capabilities of tools like Tableau and Power BI from a UX perspective.

📝 Enhancement Note: The interview process will heavily scrutinize your portfolio and your ability to apply UX principles specifically to data and analytics. Be prepared to discuss your thought process in detail and demonstrate how you translate complex requirements into user-friendly solutions.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on the knowmad mood teamtailor platform.

• Portfolio Customization: Ensure your resume and portfolio are tailored to highlight your UX design experience, particularly any projects involving data visualization, dashboard design, or complex analytical interfaces. If direct data UX experience is limited, emphasize transferable skills in information architecture and complex system design.

• Resume Optimization: Clearly list your years of experience in UX design and any specific proficiency with Tableau or Power BI. Use keywords from the job description such as "UX Design," "Tableau," "Power BI," "User Journeys," "Data Consumption," and "Analytics."

• Interview Preparation: Practice articulating your design process and case studies, focusing on how you solve problems for users interacting with data. Be ready to discuss your experience with Tableau and Power BI in detail.

• Company Research: Familiarize yourself with knowmad mood's mission, values, and recent projects to demonstrate genuine interest and cultural alignment, especially regarding their focus on digital transformation and innovation.

⚠️ 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.