UX Analyst

📍 Job Overview

Job Title: UX Analyst

Company: Pulse Labs AI, Inc.

Location: Mexico

Job Type: FULL_TIME

Category: Operations / Research & Analytics

Date Posted: May 06, 2026

Experience Level: 2-5 years

Remote Status: Fully Remote

🚀 Role Summary

• Analyze qualitative and quantitative user data to derive actionable insights for next-generation product development.

• Execute and support diverse qualitative research methodologies, including diary studies, focus groups, and longitudinal panel studies.

• Collaborate closely with UX researchers and operations teams to ensure project rigor, data integrity, and timely delivery of client reports.

• Develop high-impact data visualizations and client-facing deliverables that effectively communicate research findings and recommendations.

• Contribute to the continuous improvement of proprietary research platforms and internal operational processes.

📝 Enhancement Note: This role bridges traditional UX research with operational rigor, requiring a strong analytical mindset and comfort with data management within a fast-paced, multi-project environment common in technology startups and established tech firms.

📈 Primary Responsibilities

• Partner with UX researchers to meticulously understand client requirements, project timelines, analysis plans, and overarching business objectives for qualitative research initiatives.

• Provide critical logistical support to research operations, including the meticulous maintenance of project schedules, question banks, data repositories, and other essential research artifacts to ensure seamless project execution.

• Collaborate with the dedicated operations team to rigorously validate that collected data accurately aligns with specific study requirements and design specifications.

• Uphold sound research methodologies by actively assisting in the development of initial project plans, conducting in-depth analyses, and meticulously crafting comprehensive final reports tailored for client delivery.

• Analyze participant responses from video recordings, transcripts, surveys, and other collected study data to systematically identify key research findings and formulate strategic recommendations for clients.

• Under the expert guidance of UX researchers, produce high-quality client deliverables such as detailed scorecards, topline summaries, comprehensive reports, and impactful slide decks.

• Design and develop sophisticated, high-quality data visualizations that communicate complex data and key findings cleanly, effectively, and efficiently to diverse stakeholders.

• Proactively collaborate with internal teams and across departments to identify and implement improvements to internal operational processes and research workflows.

• Provide constructive and actionable feedback to the Design and Engineering teams to enhance the functionality, user experience, and overall effectiveness of Pulse Labs' proprietary research platform.

📝 Enhancement Note: The responsibilities emphasize a blend of direct research support and operational excellence, typical for roles that ensure research integrity and efficient project delivery in a client-facing technology environment.

🎓 Skills & Qualifications

Education: Bachelor's degree in Psychology, Research Methods, Survey Methodology, Human-Computer Interaction (HCI), Sociology, or a closely related field. A graduate degree is considered a preferred qualification.

Experience: A minimum of 2 years of experience working as an analyst in a research setting or in a detail-oriented operations environment.

Required Skills:

• Proven expertise in data collection, analysis, and interpretation, with a strong emphasis on qualitative data.

• Deep understanding of the end-to-end UX research lifecycle, including various research methods and common analytical approaches.

• Proficiency in working collaboratively within a team of researchers and alongside operations personnel, particularly in rapid-response, dynamic environments.

• Exceptional written and verbal communication skills, capable of conveying complex information clearly and concisely.

• High attention to detail with a demonstrated ability to identify subtle patterns and anomalies in both qualitative and quantitative data.

• Collaborative attitude and a proven ability to foster a positive and productive work environment.

• High comfort level and adaptability in utilizing emerging technologies and diverse software systems.

Preferred Skills:

• Previous experience working in a consulting environment, conducting research for commercial clients.

• Prior experience within early-to-mid stage startups or with established tech giants (e.g., FAANG).

• Experience with survey platforms and data analysis tools beyond standard office suites.

📝 Enhancement Note: The listed qualifications highlight a need for both methodological understanding in UX research and practical operational skills, reflecting a role that requires analytical depth and process-oriented execution. The preference for startup/tech experience suggests comfort with agility and rapid iteration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of successfully executed qualitative research projects, detailing the methodology, analysis process, and key insights derived.

• Case studies showcasing the ability to translate raw data (transcripts, survey responses, user interactions) into clear, actionable recommendations for product improvement.

• Examples of data visualizations (charts, graphs, dashboards) that effectively communicate complex findings to non-technical stakeholders.

Process Documentation:

• Showcase examples of structured analysis plans and research protocols developed for specific projects.

• Evidence of experience in managing and organizing research data repositories, ensuring data integrity and accessibility.

• Documentation of contributions to client-facing report creation, demonstrating adherence to quality standards and client communication best practices.

📝 Enhancement Note: For this role, a portfolio should emphasize the candidate's ability to not just perform analysis, but to operationalize research findings and present them effectively, demonstrating a structured approach to data management and client reporting.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for UX Analysts with 2-5 years of experience in Mexico, a competitive annual salary range is estimated between MXN 350,000 - MXN 600,000. This range reflects the remote nature of the role, the specialized skills required, and the cost of living in Mexico.

Benefits:

• Competitive salary commensurate with experience and skills.

• Opportunities for professional development and continuous learning in cutting-edge AI and UX research.

• Flexible remote work environment, allowing for work-life balance.

• Contribution to a dynamic and innovative team shaping the future of product development.

• Access to proprietary tools and platforms that enhance research capabilities.

Working Hours: Standard full-time work hours are expected, approximately 40 hours per week, with flexibility to accommodate project deadlines and international team collaboration.

📝 Enhancement Note: The salary estimate is based on market data for similar roles in Mexico, considering the specified experience level and the remote work arrangement. Benefits are inferred based on typical offerings for tech companies, particularly those in the AI/research sector, to attract and retain talent in a competitive remote market.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) & User Experience (UX) Research. Pulse Labs AI operates at the intersection of advanced AI technologies and human-centered design, providing critical insights into how users interact with and perceive next-generation products. This positions them within the rapidly growing market for AI-driven product development and user research.

Company Size: Early-to-mid stage startup. This implies a dynamic, fast-paced environment where roles can be broad, and individuals often wear multiple hats. It also suggests a culture that values agility, innovation, and direct impact.

Founded: Pulse Labs AI is likely a relatively young company, given its focus on AI and its startup status. This suggests a culture that is forward-thinking, adaptable, and likely emphasizes rapid iteration and growth.

Team Structure:

• The UX Analyst will be an integral part of a dedicated group of researchers and analysts, working closely with UX researchers and the operations team.

• This structure suggests a collaborative, cross-functional approach where analysts support researchers in executing projects and ensuring data quality.

Methodology:

• Data-driven decision-making is paramount, with a focus on analyzing qualitative and quantitative user data using proprietary tools.

• Emphasis on rigorous research execution, ensuring data integrity and adherence to sound methodologies.

• Continuous process improvement is a key aspect, encouraging feedback and collaboration to refine internal workflows and platform capabilities.

Company Website: https://pulselabs.ai/

📝 Enhancement Note: The company's focus on AI and UX research within a startup environment suggests a culture that is both technically sophisticated and user-centric, valuing analytical rigor, collaboration, and innovation.

📈 Career & Growth Analysis

Operations Career Level: This role represents a mid-level analyst position within the operations and research function. It requires a solid foundation of 2-5 years of experience, indicating a need for independent contribution and a degree of project support autonomy, rather than entry-level tasks. The focus on analysis, reporting, and process improvement suggests a role that is crucial for operationalizing research insights.

Reporting Structure: The UX Analyst will report to a UX Researcher or a Research Manager, working collaboratively with other researchers and analysts. They will also interface with the broader operations team for data integrity and potentially with product/engineering teams for platform feedback.

Operations Impact: The UX Analyst's work directly impacts the quality and actionable nature of research insights delivered to clients. By ensuring data accuracy, performing thorough analysis, and creating clear visualizations, they enable clients to make informed decisions about product development, ultimately driving user satisfaction and market success. Their feedback also informs the evolution of Pulse Labs' core technology.

Growth Opportunities:

• Specialization: Deepen expertise in specific research methodologies (e.g., longitudinal studies, AI-driven user behavior analysis) or advanced data visualization techniques.

• Leadership: Progress to a Senior UX Analyst role, potentially leading smaller projects, mentoring junior analysts, or specializing in operations management for research projects.

• Cross-functional: Transition into roles within Product Management, Data Science, or dedicated Research Operations management, leveraging their analytical and process expertise.

• Skill Development: Continuous learning through internal training, industry conferences, and hands-on experience with Pulse Labs' proprietary AI tools.

📝 Enhancement Note: The growth trajectory for a UX Analyst in a company like Pulse Labs AI typically involves deepening analytical skills, taking on more project ownership, and potentially moving into leadership or specialized analytical roles within the fast-evolving AI and UX research space.

🌐 Work Environment

Office Type: Fully Remote. This arrangement offers significant flexibility, allowing employees to work from any location within Mexico. It emphasizes asynchronous communication and a reliance on digital collaboration tools.

Office Location(s): Mexico. While fully remote, candidates must be based in Mexico, which may allow for potential future hybrid options or in-person team gatherings if the company establishes physical hubs or organizes events.

Workspace Context:

• The remote setup necessitates a self-disciplined approach to work, with a dedicated home office space conducive to focused analysis and video conferencing.

• Collaboration will heavily rely on digital tools like Slack, Zoom, Google Workspace, and Pulse Labs' proprietary platform, requiring strong digital literacy.

• Opportunities for team interaction will be primarily virtual, with potential for occasional in-person meetups or workshops organized by the company.

Work Schedule: The standard work schedule is approximately 40 hours per week. While remote, there's an expectation of availability during core business hours for collaboration with team members and researchers, particularly for time-sensitive project needs and cross-timezone coordination.

📝 Enhancement Note: The fully remote nature within Mexico requires strong self-management and digital communication skills. Candidates should be prepared for a virtual-first collaboration environment and possess the necessary home office setup.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or a recruiter to assess basic qualifications, interest, and cultural fit.

• Technical Interview (Round 1): Focus on UX research methodologies, data analysis techniques, and experience with qualitative data. Expect questions about specific research projects and analytical challenges.

• Skills Assessment/Portfolio Review: A session where candidates present their portfolio, detailing specific case studies of research projects, data analysis, and report creation. This is where your ability to articulate process and impact will be crucial.

• Team/Manager Interview (Round 2): Deeper dive into behavioral questions, team collaboration style, problem-solving approaches, and how you handle ambiguity. This is also an opportunity to ask about team dynamics and company culture.

• Final Interview: Potentially with a senior leader to discuss strategic alignment, long-term career goals, and finalize any remaining questions.

Portfolio Review Tips:

• Structure Your Case Studies: For each project, clearly outline the problem statement, your role, the methodology used, the analysis performed, key findings, and the impact of your recommendations. Quantify impact where possible.

• Highlight Process: Detail how you approached the analysis. Show your thought process, how you identified patterns, and how you translated raw data into insights.

• Data Visualization Clarity: Ensure your visual examples are clean, well-labeled, and effectively communicate the intended message. Explain your design choices.

• Tailor to Pulse Labs: If possible, subtly weave in an understanding of AI and its application in UX research, demonstrating you've researched the company.

• Prepare for Questions: Be ready to discuss any aspect of your portfolio in detail, including challenges faced and lessons learned.

Challenge Preparation:

• Data Analysis Exercise: Be prepared for a take-home assignment or a live exercise involving a dataset to analyze and present findings. Focus on identifying patterns and articulating insights clearly.

• Methodology Discussion: Be ready to discuss the pros and cons of various UX research methods and when to apply them, especially qualitative ones.

• Problem-Solving Scenarios: Anticipate questions about how you would approach a vague research problem or a complex data challenge. Focus on your structured approach.

📝 Enhancement Note: The emphasis on a portfolio review and potential data analysis challenges indicates that Pulse Labs AI values practical, demonstrable skills in research execution and data interpretation over purely theoretical knowledge. Candidates should be ready to showcase their analytical process and communication abilities.

🛠 Tools & Technology Stack

Primary Tools:

• Proprietary Pulse Labs Platform: Candidates are expected to quickly learn and become proficient in the company's unique tools for data analysis and research execution.

• Google Workspace (Docs, Sheets): Essential for documentation, data manipulation, and collaboration. Expect advanced usage of Sheets for data organization and basic analysis.

Analytics & Reporting:

• Data Visualization Tools: While specific tools aren't listed, proficiency in creating clear charts and graphs is key. This could include Google Sheets charting, or familiarity with tools like Tableau, Power BI, or even advanced Excel.

• Qualitative Data Analysis Tools: Familiarity with tools used for coding qualitative data or managing transcripts (e.g., NVivo, Dovetail) might be beneficial, though Pulse Labs' proprietary tools will be primary.

CRM & Automation:

• Project Management Software: Experience with tools like Asana, Trello, Jira, or similar platforms is valuable for managing research timelines and tasks.

• Communication Platforms: Slack, Microsoft Teams, or similar for daily team communication and collaboration.

📝 Enhancement Note: The key takeaway is the expectation to quickly adapt to Pulse Labs' proprietary platform. Beyond that, strong foundational skills in Google Workspace and general data visualization/collaboration tools are critical.

👥 Team Culture & Values

Operations Values:

• Rigor and Quality: A strong commitment to meticulous data analysis and research execution, ensuring the highest standards in client deliverables.

• Collaboration: A team-oriented approach where individuals work together effectively, share knowledge, and support one another to achieve common goals.

• Innovation: Embracing new technologies and methodologies to push the boundaries of AI-driven user research and product development.

• Agility: The ability to adapt quickly to changing project needs, client requirements, and the fast-paced nature of a startup environment.

• User-Centricity: A deep understanding and focus on the end-user experience, ensuring that research insights directly contribute to improving products for users.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration between UX researchers, analysts, and operations personnel is essential for successful project delivery.

• Open Communication: Encouraging open dialogue, feedback exchange, and knowledge sharing to foster a learning environment and drive continuous improvement.

• Proactive Support: A willingness to assist team members, share insights, and contribute beyond defined roles to ensure collective success.

📝 Enhancement Note: The culture at Pulse Labs AI likely values analytical precision, collaborative problem-solving, and a proactive, adaptable mindset, essential for a company operating at the forefront of AI and UX research.

⚡ Challenges & Growth Opportunities

Challenges:

• Adapting to Proprietary Tools: Quickly mastering Pulse Labs' unique AI-driven research platform will be a primary challenge, requiring a steep learning curve.

• Managing Ambiguity: Working in a startup environment often means dealing with evolving project scopes and less defined processes, requiring adaptability and proactive problem-solving.

• Balancing Rigor and Speed: The need to maintain high-quality research standards while operating in a fast-paced, rapid-response environment can be demanding.

• Communicating Complex Insights: Translating sophisticated AI-driven research findings into clear, actionable recommendations for diverse client stakeholders requires strong communication and storytelling skills.

Learning & Development Opportunities:

• AI & UX Research Specialization: Gaining in-depth experience at the cutting edge of AI's application in understanding user behavior.

• Advanced Analytics & Visualization: Developing expertise in sophisticated data analysis techniques and creating compelling data narratives.

• Process Optimization: Contributing to and learning from efforts to streamline research operations and improve platform functionality.

• Industry Exposure: Working with a variety of clients and industries, providing broad exposure to different product development challenges.

📝 Enhancement Note: This role offers significant opportunities for growth by tackling complex challenges at the intersection of AI, UX, and operations, providing a unique learning environment for ambitious analysts.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to analyze a large volume of qualitative data. What was your process, what tools did you use, and what were your key findings?" (Focus on your structured approach, pattern identification, and actionable insights.)

• "How would you ensure data integrity when working with multiple researchers and data sources in a fast-paced environment?" (Highlight your attention to detail, collaboration with operations, and process-oriented thinking.)

Company & Culture Questions:

• "What interests you about Pulse Labs AI and our work in AI-driven UX research?" (Research their website, recent news, and the specific challenges they address.)

• "How do you handle working in a dynamic, startup environment with evolving priorities?" (Emphasize your adaptability, proactivity, and comfort with change.)

Portfolio Presentation Strategy:

• Tell a Story: Frame your portfolio projects as narratives – the challenge, your solution, and the outcome.

• Showcase Your Process: Walk through your analytical steps, from data intake to insight generation and reporting.

• Quantify Impact: Wherever possible, highlight the business impact or value your analysis and recommendations provided.

• Be Ready for Deep Dives: Prepare to answer detailed questions about any project, including challenges, trade-offs, and alternative approaches.

📝 Enhancement Note: Interview preparation should focus on demonstrating analytical rigor, a strong understanding of UX research principles, adaptability, and clear communication skills, with a specific emphasis on how you translate data into actionable insights for clients.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided job portal link.

• Customize Your Resume: Tailor your resume to highlight experience with qualitative data analysis, UX research methodologies, operations support, and familiarity with relevant tools (especially Google Sheets). Quantify achievements where possible to demonstrate impact.

• Prepare Your Portfolio: Select 2-3 of your strongest projects that showcase your analytical process, data visualization skills, and ability to derive actionable insights from research data. Be ready to present these clearly and concisely.

• Research Pulse Labs AI: Understand their mission, technology focus (AI in UX), client base, and any recent news. This will help you tailor your application and prepare for interview questions.

• Practice Interview Responses: Rehearse answers to common behavioral, technical, and situational questions, focusing on the STAR method (Situation, Task, Action, Result) and incorporating operations and research-specific examples.

⚠️ 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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