UX Analyst

📍 Job Overview

Job Title: UX Analyst

Company: Pulse Labs AI, Inc.

Location: Brazil

Job Type: FULL_TIME

Category: Data & Analytics / Science & Research / Technology

Date Posted: 2026-05-06T21:54:15.609

Experience Level: 2-5 years

Remote Status: Fully Remote

🚀 Role Summary

• Execute qualitative research projects and analyze user interactions utilizing proprietary platforms to extract key findings and insights.

• Collaborate closely with UX researchers and operations teams to manage research logistics, timelines, and data integrity.

• Develop high-quality data visualizations and client-ready deliverables, including scorecards, toplines, and comprehensive reports.

• Contribute to the continuous improvement of internal processes and provide valuable feedback to product and engineering teams.

• Leverage a strong understanding of research methodologies and data analysis to drive actionable recommendations for clients.

📝 Enhancement Note: This role requires a blend of research execution, data analysis, and operational support, with a strong emphasis on qualitative data interpretation and client-facing deliverables. The "UX Analyst" title within a company focused on AI and next-gen products suggests a deep dive into user behavior and perception, requiring meticulous data handling and clear communication of findings.

📈 Primary Responsibilities

• Partner with UX researchers to meticulously understand project objectives, customer requirements, analysis plans, and key business goals for qualitative research initiatives.

• Proactively assist project team members in managing the logistical aspects of research programs, including maintaining accurate research timelines, detailed project schedules, comprehensive question banks, and organized data repositories.

• Liaise effectively with the operations team to ensure all collected data strictly adheres to study requirements and quality standards, identifying and rectifying any discrepancies.

• Uphold sound research methodologies throughout the project lifecycle, from initial project planning and preliminary analyses to the final creation of client reports and presentations.

• Conduct in-depth analysis of participant responses from video submissions, transcripts, surveys, and other study data to identify critical research findings and formulate actionable recommendations for clients.

• Under the direct guidance of UX researchers, meticulously craft client-facing deliverables such as scorecards, toplines, detailed reports, and compelling slide decks that clearly articulate research outcomes.

• Design and develop high-quality data visualizations that communicate complex data and research findings in a clean, effective, and easily digestible manner for diverse audiences.

• Foster a collaborative spirit by working closely with internal teams and across departments to identify and implement improvements to existing internal processes and workflows.

• Provide constructive and detailed feedback to the Design and Engineering teams regarding potential enhancements and optimizations for the company's proprietary platform.

📝 Enhancement Note: The responsibilities highlight a hands-on role requiring meticulous attention to detail in research execution and data management, alongside analytical skills for insight generation and a strong focus on clear, visual communication of findings. The emphasis on "proprietary tools" suggests an expectation for adaptability and learning new technology quickly.

🎓 Skills & Qualifications

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

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

Required Skills:

• Demonstrated expertise in the end-to-end research lifecycle, including a solid understanding of various research methods/approaches and common analysis techniques, with a specific focus on UX-related research.

• Proven expertise in data collection, rigorous analysis, and insightful interpretation of both qualitative and quantitative data.

• Experience working effectively within a team of researchers and collaborating seamlessly with operations personnel in a fast-paced, dynamic, and often ambiguous environment.

• Exceptional written and verbal communication skills, capable of articulating complex ideas clearly and concisely.

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

• A strong collaborative attitude, with a proven ability to foster a positive and productive work environment.

• High comfort level and proficiency in using emerging technologies and various software systems.

Preferred Skills:

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

• Prior experience working with early-to-mid stage startups and/or established tech companies (e.g., FAANG or other top-tier technology firms).

• A graduate degree in a relevant field.

📝 Enhancement Note: The requirements emphasize a foundational understanding of UX research principles and practical experience in data analysis, particularly qualitative. The preference for startup/tech company experience suggests a need for adaptability and a proactive approach within a rapidly evolving environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least two distinct projects demonstrating meticulous qualitative data analysis, highlighting the process from data collection to insight generation and client recommendations.

• Include examples of complex data visualizations created to communicate research findings effectively, detailing the tools and techniques used.

• Present case studies of research projects where you managed logistical operations, demonstrating your ability to maintain timelines, organize data, and ensure adherence to study requirements.

Process Documentation:

• Illustrate your approach to documenting research methodologies, including the rationale behind chosen methods and how they align with client objectives.

• Demonstrate your system for organizing and managing research data, ensuring its integrity, accessibility, and compliance with study protocols.

• Detail your process for collaborating with cross-functional teams (researchers, operations, product) to refine research plans, analyze findings, and develop cohesive client deliverables.

• Showcase how you have contributed to improving internal processes, providing specific examples of workflows optimized or challenges overcome through process enhancement.

📝 Enhancement Note: A portfolio demonstrating practical application of qualitative analysis, data visualization, project logistics, and clear reporting is crucial. The emphasis on process documentation indicates a need for systematic thinking and a structured approach to research operations.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a UX Analyst with 2-5 years of experience in Brazil, the estimated annual salary range is R$70,000 to R$120,000 (Brazilian Real). This range accounts for the fully remote nature of the role and the specialized skills required in UX research and data analysis.

Benefits:

• Competitive salary commensurate with experience and qualifications.

• Comprehensive health insurance plan, including medical, dental, and vision coverage.

• Paid time off, including vacation days, sick leave, and national holidays.

• Opportunities for professional development, including access to relevant training, workshops, and conferences.

• Flexible remote work arrangement, allowing for a healthy work-life balance.

• Contribution to professional development and learning resources.

• Access to Pulse Labs' proprietary tools and platforms for advanced data analysis.

Working Hours: Standard full-time working hours are expected, typically around 40 hours per week. Given the remote nature and potential for global collaboration, some flexibility may be required to accommodate different time zones and project deadlines.

📝 Enhancement Note: Salary estimation is based on an average of publicly available data for similar UX Analyst roles in Brazil, adjusted for the remote aspect and the tech/AI industry context. Benefits are typical for full-time roles in the tech sector, with an emphasis on professional growth and remote work support.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI, User Experience Research) - Pulse Labs AI operates at the intersection of artificial intelligence and user experience research, focusing on understanding user perceptions and interactions with next-generation products. This fast-paced environment demands innovation and a data-driven approach to product development.

Company Size: Startup/Growth Stage (likely between 50-200 employees, based on the typical profile of companies using Workable for recruitment and engaging in advanced AI/UX research). This size implies a dynamic, agile, and often less hierarchical structure, where individual contributions have a significant impact.

Founded: Pulse Labs AI, Inc. was founded to leverage AI for deeper insights into user behavior, aiming to revolutionize how companies understand their customers. The company's focus on proprietary tools suggests a strong emphasis on technological innovation and intellectual property.

Team Structure:

• The UX Analyst will be part of a dedicated team of researchers and analysts, likely comprising individuals with diverse backgrounds in psychology, HCI, sociology, and data science.

• Reporting likely occurs to a Senior UX Researcher or Research Lead, with close collaboration across the broader operations and product development teams.

Methodology:

• Data analysis at Pulse Labs AI is expected to be rigorous and insight-driven, utilizing proprietary tools to process and interpret complex qualitative and quantitative user data.

• Workflow planning and optimization are crucial, especially given the fast-paced, multi-project environment, requiring efficient project management and resource allocation.

• Automation and efficiency practices are likely key to scaling research operations and delivering timely insights to clients.

Company Website: https://pulselabs.ai/

📝 Enhancement Note: The company's focus on AI and UX research suggests a culture that values data, innovation, and a deep understanding of user behavior. The startup/growth stage implies an environment where adaptability, initiative, and a willingness to contribute across different areas are highly valued.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an Analyst, typically an early to mid-career position (2-5 years of experience). It offers a strong foundation in qualitative research execution, data analysis, and operational support within the tech and AI domain. The scope involves executing defined research tasks and contributing to client deliverables under guidance, rather than leading strategic initiatives independently.

Reporting Structure: The UX Analyst will likely report to a Senior UX Researcher or Research Manager. This structure provides mentorship and guidance while allowing for autonomy in executing assigned research tasks and analytical work. Collaboration will be extensive with fellow analysts, researchers, and potentially members of the product and engineering teams.

Operations Impact: The UX Analyst's work directly impacts product development and client strategy by providing crucial insights into user perceptions and behaviors. By analyzing qualitative data and translating it into actionable recommendations, the role helps shape product roadmaps, improve user interfaces, and ultimately enhance customer satisfaction and product-market fit. This contribution is vital for client success and the company's reputation for delivering deep user understanding.

Growth Opportunities:

• Specialization: Develop deep expertise in specific qualitative research methodologies (e.g., diary studies, longitudinal panels) or analytical techniques, becoming a subject matter expert within the team.

• Skill Expansion: Progress towards Senior UX Analyst or UX Researcher roles by taking on more complex projects, leading smaller research initiatives, and deepening analytical and reporting skills.

• Leadership Potential: With demonstrated success and initiative, opportunities may arise to mentor junior analysts or take on project lead responsibilities, contributing to team leadership and process improvement initiatives.

• Cross-functional Movement: Gain exposure to product management, design strategy, or engineering through close collaboration, potentially opening doors for career shifts within the broader tech product development lifecycle.

📝 Enhancement Note: The growth path emphasizes deepening expertise in UX research and analysis, with potential to move into more senior or specialized roles. The collaborative nature of the role also provides opportunities to learn about different facets of product development.

🌐 Work Environment

Office Type: Fully Remote. This arrangement offers significant flexibility, allowing employees to work from any location within Brazil. The company relies on digital collaboration tools and platforms to maintain connectivity and productivity.

Office Location(s): Brazil. Employees are expected to be based within Brazil, potentially aligning with specific time zones for team collaboration (e.g., America/Cuiaba mentioned in derived data).

Workspace Context:

• The remote workspace is characterized by extensive use of digital collaboration tools (e.g., Slack, Zoom, Google Workspace) for communication, project management, and virtual team interactions.

• Access to Pulse Labs' proprietary platform and other digital tools is essential for daily tasks, requiring a reliable internet connection and a suitable home office setup.

• Opportunities for team interaction occur through scheduled virtual meetings, asynchronous communication channels, and potentially virtual team-building events.

Work Schedule: The standard work schedule is approximately 40 hours per week. While fully remote, maintaining consistent availability during core business hours relevant to the team and clients in Brazil is expected. Flexibility may be afforded for personal needs, provided project deadlines and collaborative needs are met.

📝 Enhancement Note: The fully remote nature of the role in Brazil requires strong self-discipline and excellent digital communication skills. The focus is on output and collaboration through digital means, rather than physical co-location.

📄 Application & Portfolio Review Process

Interview Process:

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

• Technical Interview: A deeper dive into your experience with qualitative research, data analysis techniques, and familiarity with UX methodologies. This may involve discussing past projects and problem-solving scenarios.

• Portfolio Review: A dedicated session where you will present selected projects from your portfolio, demonstrating your analytical process, data visualization skills, and ability to derive actionable insights. Be prepared to discuss your role, challenges, and outcomes.

• Team/Hiring Manager Interview: An opportunity to meet with the hiring manager and potential team members to discuss your fit with the team's dynamics, collaborative style, and understanding of Pulse Labs' mission.

• Final Interview (Potentially): A final conversation, possibly with a senior leader, to confirm overall fit and address any remaining questions.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your quantitative and qualitative analysis skills, data visualization capabilities, and impact on client recommendations. Prioritize projects that align with the responsibilities outlined in the job description.

• Structure Your Narrative: For each project, clearly articulate: the research objective, your specific role and responsibilities, the methodologies employed, the analytical process, key findings, actionable recommendations, and the impact or outcome. Use a storytelling approach.

• Highlight Data Visualization: Be ready to walk through your data visualizations. Explain the rationale behind your design choices, the tools used (e.g., Google Sheets features, other visualization software), and how they effectively communicate complex information.

• Demonstrate Process & Collaboration: Show examples of how you managed project logistics, collaborated with researchers and operations teams, and contributed to process improvements. Emphasize your attention to detail and ability to work in a fast-paced environment.

• Quantify Impact: Wherever possible, quantify the impact of your work – e.g., "Recommendations led to a X% improvement in user engagement" or "Streamlined data collection process reduced turnaround time by Y%."

Challenge Preparation:

• Analytical Challenge: Be prepared for a task that may involve analyzing a sample dataset (qualitative or quantitative) or a case study scenario. Focus on demonstrating your systematic approach to problem-solving, data interpretation, and ability to generate insights.

• Communication Practice: Rehearse presenting your portfolio and discussing your experience clearly and concisely, especially when explaining technical concepts to potentially non-technical stakeholders.

• Process Improvement Thinking: Think about how you would approach improving an existing research process or workflow, drawing on your experience with operations and data management.

📝 Enhancement Note: The interview process emphasizes practical application of skills, particularly through portfolio presentation. Candidates should be ready to demonstrate not just technical proficiency but also strategic thinking, communication clarity, and collaborative potential.

🛠 Tools & Technology Stack

Primary Tools:

• Pulse Labs Proprietary Platform: Essential for analyzing participant videos, transcripts, and survey data. Proficiency will be developed on the job, but a strong aptitude for learning new software is critical.

• Google Workspace (Docs, Sheets, Slides): High comfort and advanced usage expected for data analysis, report creation, documentation, and team collaboration. Google Sheets proficiency is explicitly mentioned and will be key for data manipulation and visualization.

Analytics & Reporting:

• Data Visualization Tools: While Google Sheets is a baseline, experience with dedicated visualization tools (e.g., Tableau, Power BI, Looker Studio) is a plus for creating more sophisticated dashboards and reports.

• Survey Platforms: Familiarity with common survey tools (e.g., SurveyMonkey, Typeform, Qualtrics) may be beneficial for understanding data inputs.

CRM & Automation:

• Project Management Software: Experience with tools like Asana, Trello, or Jira can be helpful for managing research timelines and tasks, although not explicitly mentioned.

• Communication Platforms: Proficiency in Slack, Microsoft Teams, or similar for real-time team communication and collaboration.

📝 Enhancement Note: The core technology stack revolves around the company's proprietary platform and the Google Workspace suite. A demonstrated ability to quickly learn and effectively utilize new, specialized software is a critical requirement for this role.

👥 Team Culture & Values

Operations Values:

• Rigor and Quality: A commitment to meticulous data analysis and research execution, ensuring the highest standards of quality in all deliverables. This translates to a detail-oriented approach in daily tasks.

• Collaboration and Teamwork: A strong emphasis on working together, sharing knowledge, and supporting team members to achieve collective goals. This means an open and communicative approach is essential.

• Adaptability and Agility: Thriving in a fast-paced, multi-project environment where priorities can shift, requiring flexibility and a proactive mindset to meet evolving client needs.

• Data-Driven Insights: A core belief in using empirical data to understand user behavior and inform product decisions, driving a culture of continuous learning and improvement.

• Innovation: Embracing new technologies and methodologies to push the boundaries of UX research and AI applications.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with researchers, operations, product, and engineering teams is fundamental. This involves clear communication, shared understanding of goals, and a willingness to bridge gaps between disciplines.

• Process Review Culture: An environment that encourages constructive feedback on workflows and methodologies to foster continuous improvement and efficiency.

• Knowledge Sharing: A culture that promotes the sharing of best practices, learnings, and insights across the team and organization, often facilitated through internal documentation and discussions.

📝 Enhancement Note: The company culture appears to value precision, teamwork, and adaptability, crucial for a fast-paced tech environment. The emphasis on collaboration and data-driven decision-making suggests a professional and analytical atmosphere.

⚡ Challenges & Growth Opportunities

Challenges:

• Managing Ambiguity: Working in a rapidly evolving startup environment with potentially shifting project scopes or client priorities requires strong adaptability and problem-solving skills.

• Data Complexity: Analyzing rich, often unstructured qualitative data (video, transcripts) using proprietary tools can be challenging, demanding keen analytical skills and pattern recognition.

• Balancing Rigor and Speed: Delivering high-quality, insightful analysis within tight, rapid-response timelines requires efficient workflow management and effective prioritization.

• Remote Collaboration: Maintaining strong communication and team cohesion in a fully remote setting necessitates proactive engagement and mastery of digital collaboration tools.

Learning & Development Opportunities:

• Operations Skill Advancement: Deepen expertise in research operations, data management, and project logistics within a specialized UX research context.

• Industry Conference & Certification: Opportunities may arise to attend relevant UX research or data analysis conferences, or pursue certifications that enhance analytical and methodological skills.

• Mentorship & Leadership: Potential to be mentored by experienced UX researchers and, with proven performance, grow into roles with greater project ownership and leadership responsibilities.

• Proprietary Tool Mastery: Become an expert user of Pulse Labs' unique AI-powered research platform, a valuable skill in the market.

📝 Enhancement Note: The challenges are typical of a growth-stage tech company focused on AI and research, emphasizing the need for resilience and continuous learning. Growth opportunities are tied to skill development and taking on increasing responsibility within the specialized field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to analyze a large volume of qualitative data under a tight deadline. What was your approach, and what were the key challenges?" (Focus on process, tools, and outcome).

• "How do you ensure the quality and accuracy of collected data when working with researchers and operations teams on multiple projects simultaneously?" (Highlight attention to detail, communication, and process adherence).

• "Walk us through a data visualization you created. What was the objective, what tools did you use, and how did it help stakeholders make a decision?" (Prepare a portfolio example and articulate the narrative clearly).

Company & Culture Questions:

• "What interests you about Pulse Labs AI and our focus on AI-driven UX research?" (Research the company's mission, recent work, and articulate a genuine connection).

• "How do you approach collaboration in a remote environment, especially when working with individuals from different functional backgrounds?" (Provide specific examples of successful remote collaboration and communication strategies).

Portfolio Presentation Strategy:

• Start with the 'Why': Clearly state the business problem or research question your project aimed to address.

• Detail Your 'How': Explain the research methods, data sources, and analytical techniques you employed. Be specific about your role and contributions.

• Showcase the 'What': Present your findings through clear, compelling data visualizations. Explain what the data means and the key insights derived.

• Conclude with the 'So What': Articulate the actionable recommendations and their potential impact on the product or client's business objectives. Quantify impact if possible.

• Practice Timed Delivery: Ensure your presentation fits within the allotted time, allowing for Q&A. Rehearse your narrative to be concise and impactful.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical analytical skills, effective communication of complex data, and a collaborative mindset, particularly within a remote, fast-paced setting. The portfolio presentation is a critical component.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on Workable.

• Tailor Your Resume: Highlight specific experience in qualitative data analysis, UX research support, project logistics management, and proficiency with tools like Google Sheets. Use keywords from the job description such as "qualitative data," "data visualization," "UX research lifecycle," and "operations."

• Prepare Your Portfolio: Curate 2-3 strong projects that exemplify your analytical skills, data visualization capabilities, and ability to derive actionable insights from research data. Be ready to articulate the project's objectives, your process, findings, and recommendations clearly and concisely.

• Research Pulse Labs AI: Understand the company's mission, their focus on AI and UX research, and their proprietary tools. This will help you tailor your responses during interviews and demonstrate genuine interest.

• Practice Your Presentation: Rehearse presenting your portfolio projects, focusing on clear storytelling, visual clarity, and articulating the impact of your work. Be prepared to answer questions about your process and decision-making.

⚠️ 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.