UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Skydropx - Frenet

Location: Mexico

Job Type: FULL_TIME

Category: User Experience Research / Product Operations

Date Posted: 2026-05-25

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

Remote Status: Fully Remote

🚀 Role Summary

• This role is crucial for understanding user needs and informing product development within the logistics technology space.

• The UX Researcher will be responsible for executing a comprehensive research strategy, leveraging both quantitative and qualitative data to drive product innovation.

• Collaboration with Product Managers and cross-functional teams will be a key aspect of ensuring research insights translate into actionable product improvements.

• The role requires a strong analytical mindset, proficiency in data analysis tools, and the ability to translate complex data into clear, impactful findings for product stakeholders.

📝 Enhancement Note: The job title is "UX Researcher," but the responsibilities and required skills, particularly the emphasis on quantitative and qualitative data, SQL, Excel, and product analytics software, strongly indicate a role that bridges traditional UX Research with elements of Product Operations or Data Analysis. The focus on identifying product problems and opportunities through data suggests a strategic involvement in product development beyond typical user interviews.

📈 Primary Responsibilities

• Conduct comprehensive user research utilizing a mix of quantitative and qualitative methodologies (e.g., surveys, interviews, usability testing, A/B testing analysis, data analysis).

• Analyze diverse data sources, including user behavior metrics, customer feedback, market trends, and product performance data, to identify key pain points and unmet user needs within the logistics platform.

• Translate research findings into actionable insights and strategic recommendations for product roadmaps, feature development, and user experience enhancements.

• Facilitate collaborative workshops with Product Managers, Designers, Engineers, and other stakeholders to share research insights, brainstorm solutions, and align on product strategy.

• Develop and maintain research documentation, including research plans, reports, personas, journey maps, and best practice guidelines.

• Advocate for the user throughout the product development lifecycle, ensuring user-centricity is at the forefront of all product decisions.

• Monitor and analyze product performance metrics post-launch to assess the impact of implemented changes and identify areas for further iteration and optimization.

📝 Enhancement Note: While the prompt mentions "UX Researcher," the emphasis on "consultar diversas fuentes de datos cuantitativos y cualitativos," "manejo de SQL," "Excel a nivel intermedio/avanzado," and "software de analítica de producto" suggests a strong data-driven component. This role likely requires not just understanding user sentiment but also analyzing user behavior through data, aligning it with product operations and analytics.

🎓 Skills & Qualifications

Education:

Experience:

• 2-5 years of experience in UX Research, Product Research, or a similar role focused on understanding user behavior and informing product development.

Required Skills:

• Proficiency in quantitative data analysis techniques and tools.

• Strong analytical and problem-solving skills with the ability to interpret complex data sets.

• Experience with product analytics software (e.g., Google Analytics, Mixpanel, Amplitude, Heap).

• Familiarity with heatmap and session recording tools (e.g., Hotjar, FullStory, Crazy Egg).

• Excellent written and verbal communication skills, with the ability to present findings clearly and persuasively to diverse audiences.

• Ability to facilitate workshops and drive collaborative decision-making.

• Strong understanding of the product development lifecycle and agile methodologies.

Preferred Skills:

• Experience with SQL for data extraction and analysis.

• Knowledge of user research best practices and methodologies.

• Experience in the logistics or SaaS industry.

• Familiarity with user journey mapping and persona development.

📝 Enhancement Note: The "preferente" mention for SQL and the explicit requirement for Excel and product analytics software indicate that while SQL is not strictly mandatory, it's highly valued. The experience level is inferred from the typical responsibilities and the range provided in the AI data.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A portfolio showcasing end-to-end UX research projects from problem identification to solution recommendation.

• Case studies demonstrating the application of mixed-methods research (quantitative and qualitative) to solve specific product challenges.

• Examples of how research insights have directly influenced product strategy, design decisions, or feature development, ideally with measurable impact.

• Demonstrations of data analysis skills, including how quantitative data was leveraged to support qualitative findings or vice-versa.

Process Documentation:

• Ability to document research plans, methodologies, findings, and recommendations in a clear, organized, and accessible manner.

• Experience in creating user journey maps, process flows, or other visual representations of user experiences.

• Examples of how research processes were adapted to meet project timelines and constraints.

📝 Enhancement Note: For a UX Researcher role with a strong data component, a portfolio is essential. It should highlight not just the research process but also the impact and how data was integrated to drive decisions. The emphasis is on demonstrating practical application and measurable outcomes.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Salary: A salary package designed to attract and retain top talent in the field.

• Professional Growth and Development Opportunities: Access to training, workshops, and potential for advancement within the company.

• Remote Work Flexibility: The ability to work from anywhere within Mexico, offering a significant work-life balance advantage.

• Mission-Driven Work: Contribute to a regional mission of simplifying logistics for LATAM businesses.

Working Hours:

• Full-time, Monday to Friday, 9:00 AM to 7:00 PM (GMT-6 Mexico City Time). This equates to approximately 40 hours per week, with a standard two-hour lunch break.

📝 Enhancement Note: Salary estimation is based on general market data for mid-level UX roles in Mexico, considering the remote aspect and the specific requirements (SQL, product analytics). The exact figure will depend on the candidate's experience and negotiation. The working hours are explicitly stated in the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Logistics Technology (SaaS) / E-commerce Enablement. Skydropx (Frenet) operates within the rapidly growing e-commerce and logistics sector in Latin America, aiming to streamline shipping and fulfillment processes for businesses. This context means the company is likely fast-paced, innovative, and focused on solving complex operational challenges for its clients.

Company Size: Skydropx is part of a growing startup ecosystem. While the exact current size isn't specified, the description suggests a dynamic, ambitious, and multicultural team, indicative of a scaling company, likely falling into the 50-250 employee range.

Founded: The founding date is not provided, but the company's focus on innovating logistics and its presence in the competitive LATAM market suggest it's an established player that has achieved significant growth.

Team Structure:

• The UX Researcher will likely be part of a Product team, collaborating closely with Product Managers, UI/UX Designers, and Engineers.

• There may be a dedicated research function or the role might be the primary research point person within the product department.

Methodology:

• Data-Driven Decision Making: Emphasis on using quantitative and qualitative data to inform product strategy and development.

• Agile Development: Likely follows agile principles for iterative product development and research cycles.

• User-Centric Design: A core philosophy of understanding and prioritizing user needs.

• Cross-functional Collaboration: Encourages teamwork and shared ownership across departments.

Company Website: https://skydropx.com

📝 Enhancement Note: The company description highlights innovation, ambition, and a desire to change the world through logistics solutions. This implies a culture that values forward-thinking, proactive problem-solving, and a strong sense of purpose. The "multicultural" aspect suggests diversity and an international outlook.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-level UX Researcher (2-5 years of experience). It involves executing research plans, analyzing data, and contributing to product strategy, but likely with guidance from senior product leaders. It's a critical individual contributor role focused on research execution and insight generation.

Reporting Structure: The UX Researcher will likely report to a Product Manager, Head of Product, or a Lead UX Researcher, depending on the team's structure. They will work collaboratively with product teams.

Operations Impact: The UX Researcher's impact is significant, as their insights directly shape the product roadmap, feature prioritization, and user experience. By identifying and solving user problems, they contribute to increased user adoption, customer satisfaction, retention, and ultimately, the company's revenue growth and market position in LATAM logistics.

Growth Opportunities:

• Specialization: Deepen expertise in specific research methodologies (e.g., advanced qualitative techniques, large-scale quantitative analysis) or product areas within logistics.

• Leadership: Transition into a Senior UX Researcher role, mentoring junior researchers, or leading research initiatives.

• Product Management: Leverage deep user understanding to move into a Product Management role.

• Operations Focus: Develop skills to contribute more directly to product operations, focusing on process optimization and data analysis for business outcomes.

• Cross-functional Roles: Move into roles within Product Design, Data Analysis, or Product Marketing.

📝 Enhancement Note: The growth opportunities are framed to align with a career path in product development and operations, emphasizing both specialization within research and potential transitions into related fields like Product Management or Data Analysis, given the role's quantitative aspects.

🌐 Work Environment

Office Type: Fully Remote. This means candidates can work from any location in Mexico.

Office Location(s): Mexico. The role is remote within Mexico, allowing flexibility in geographical location within the country.

Workspace Context:

• Home Office Setup: Candidates are expected to have a dedicated, quiet workspace conducive to focused research and virtual collaboration.

• Technology & Tools: Access to reliable internet and necessary software for virtual meetings, collaboration (e.g., Slack, Zoom, Miro), and research tools.

• Collaborative Culture: Despite being remote, the company fosters a dynamic, ambitious, and multicultural environment, suggesting active virtual communication and teamwork.

Work Schedule:

• Standard full-time hours: Monday to Friday, 9:00 AM to 7:00 PM (GMT-6 Mexico City Time). This is a 10-hour workday, likely including a substantial break, totaling 40 hours per week. Adherence to this timezone is expected for effective team collaboration.

📝 Enhancement Note: The remote nature within Mexico is a key aspect. The specified working hours and timezone requirement are important for candidates to assess work-life balance and collaboration feasibility.

📄 Application & Portfolio Review Process

Interview Process:

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

• Technical Interview/Case Study: This will likely involve a deeper dive into research methodologies, data analysis skills, and problem-solving. Candidates may be asked to present a past project or complete a take-home assignment/case study related to product research and analysis.

• Workshop Simulation: Potentially a session where candidates facilitate a mini-workshop or discuss how they would approach a specific research challenge collaboratively.

• Hiring Manager/Team Interview: Meeting with the hiring manager and potential team members to discuss strategic thinking, collaboration style, and alignment with team goals.

• Final Interview: May involve senior leadership to discuss overall fit and long-term potential.

Portfolio Review Tips:

• Structure Your Projects: For each case study, clearly outline the problem, your role, the research methods used (both qualitative and quantitative), key findings, and the impact of your recommendations.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your research-driven product changes (e.g., increased conversion rates, reduced user errors, improved satisfaction scores).

• Highlight Data Analysis: Explicitly show how you used SQL, Excel, or product analytics tools to derive insights. Showcase your ability to connect data points to user behaviors and needs.

• Showcase Collaboration: Provide examples of how you worked with product managers, designers, and engineers, and how you communicated complex findings effectively.

• Tailor to Skydropx: Research Skydropx's product and target market. Be prepared to discuss how your research skills could specifically benefit their logistics platform.

Challenge Preparation:

• Data Analysis Scenarios: Be ready to discuss how you would approach analyzing user behavior data for a specific feature or identify a user problem using available data.

• Research Design: Prepare to design a research plan for a hypothetical product challenge, justifying your choice of methodologies.

• Communication: Practice articulating your research process and findings concisely and persuasively.

📝 Enhancement Note: The emphasis on data analysis, SQL, and product analytics means portfolio review and interview challenges will likely focus heavily on these aspects, in addition to core UX research skills. Candidates should be prepared to demonstrate their quantitative capabilities.

🛠 Tools & Technology Stack

Primary Tools:

• Product Analytics Software: Experience with platforms like Amplitude, Mixpanel, Google Analytics, or similar is essential for tracking user behavior, funnels, and feature adoption.

• Heatmap & Session Recording Tools: Familiarity with tools such as Hotjar, FullStory, or Crazy Egg for understanding user interactions on the website/platform.

• Survey Tools: Proficiency in platforms like SurveyMonkey, Typeform, Google Forms, or specialized UX survey tools for gathering user feedback.

Analytics & Reporting:

• Spreadsheet Software: Advanced proficiency in Microsoft Excel (or Google Sheets) for data manipulation, analysis, and report generation.

• SQL: Preferred skill for direct data querying and analysis from databases.

• Data Visualization Tools: While not explicitly mentioned, familiarity with tools like Tableau, Power BI, or even advanced Excel charting for presenting data insights would be beneficial.

CRM & Automation:

• CRM Systems: Understanding how user data is stored and accessed within CRM systems like Salesforce or HubSpot can be advantageous for context.

• Collaboration Tools: Proficiency in tools like Miro, Figma (for prototypes), Slack, and Zoom for effective remote collaboration and workshop facilitation.

📝 Enhancement Note: The AI data explicitly lists "Product Analytics Software" and "Heatmap Tools." The "Manejo de SQL" and "Excel a nivel intermedio/avanzado" are also key. The list is expanded to include common tools used in similar roles for a comprehensive view.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to find new and better ways to solve logistics challenges.

• Ambition: A commitment to achieving significant goals and making a real impact.

• User-Centricity: A deep focus on understanding and serving the needs of businesses using their platform.

• Data-Driven: A culture that relies on evidence and analysis to make informed decisions.

• Collaboration: A belief in working together across teams to achieve shared objectives.

• Growth Mindset: Encouraging continuous learning and professional development.

Collaboration Style:

• Remote-First: Emphasizes effective virtual communication and asynchronous collaboration.

• Cross-functional: Researchers are expected to work closely with product, engineering, design, and marketing teams, acting as a bridge between user needs and business objectives.

• Workshop-Driven: Utilizes facilitated sessions to align teams and brainstorm solutions based on research insights.

• Feedback-Oriented: An open culture where constructive feedback is shared and valued to improve both products and processes.

📝 Enhancement Note: The company description emphasizes "personas visionarias, con ganas de crecer y cambiar el mundo" and a "dinámico, ambicioso y multicultural" environment. These are translated into specific values and collaboration styles relevant to an operations and research role.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Integration: Synthesizing insights from diverse, potentially siloed, data sources (qualitative interviews, quantitative analytics, SQL queries) into a cohesive narrative.

• Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote setting.

• Pace of Innovation: Keeping up with rapid product development cycles and evolving user needs in the competitive logistics tech market.

• Balancing Research Types: Effectively allocating time and resources between generative (exploratory) and evaluative (validation) research.

• Quantifying Impact: Clearly demonstrating the ROI of research efforts to stakeholders who may prioritize speed or feature delivery.

Learning & Development Opportunities:

• Advanced Analytics: Opportunity to deepen skills in data analysis, potentially exploring more advanced statistical methods or learning new data visualization tools.

• Product Strategy: Gain deeper exposure to product strategy, roadmap planning, and business operations within a scaling SaaS company.

• Methodological Breadth: Expand expertise across a wider range of user research techniques, including behavioral economics, ethnographic studies, or advanced usability testing.

• Industry Expertise: Develop specialized knowledge of the logistics and e-commerce technology landscape in Latin America.

• Mentorship: Potential to learn from experienced product managers and leaders within Skydropx.

📝 Enhancement Note: Challenges are framed around the core responsibilities and the remote work context. Growth opportunities are tied to the role's potential for specialization and advancement within product and data-centric fields.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used quantitative data to uncover a significant user problem that qualitative research then helped explain. What was the outcome?" (Focus on your ability to connect data with user behavior and impact.)

• "How would you approach designing a research plan to understand user adoption challenges for a new feature in a logistics platform?" (Demonstrate your research design process, methodology selection, and how you'd incorporate quantitative and qualitative methods.)

Company & Culture Questions:

• "What interests you about Skydropx and the logistics industry in Latin America?" (Research the company's mission, values, and market position.)

• "How do you see yourself contributing to our dynamic, ambitious, and multicultural team environment?" (Highlight your collaborative skills and adaptability.)

Portfolio Presentation Strategy:

• Tell a Story: Structure your case studies as narratives, clearly defining the problem, your approach, the insights, and the impact.

• Show, Don't Just Tell: Use visuals (screenshots, diagrams, personas, charts) to illustrate your process and findings.

• Focus on Impact: Quantify the results of your research whenever possible. Highlight how your work led to measurable improvements.

• Explain Your "Why": Be prepared to justify your methodological choices and how they were best suited to answer the research questions.

• Address Data Integration: Clearly articulate how you integrated quantitative and qualitative data to form robust conclusions.

📝 Enhancement Note: Interview questions are crafted to probe the candidate's ability to handle the blend of UX research and data analysis, their strategic thinking, and their cultural fit within a remote, fast-paced startup environment.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided Ashby link.

• Customize Your Resume: Tailor your resume to highlight experience with quantitative analysis, SQL (if applicable), product analytics software, and mixed-methods research. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your ability to conduct research, analyze data, and drive product impact. Ensure your portfolio clearly demonstrates your quantitative skills and how you've used data to inform decisions.

• Prepare Your Narrative: Practice articulating your research process and findings for each portfolio project, focusing on the problem, your methodology, key insights, and measurable results. Be ready to discuss the challenges you faced and how you overcame them.

• Research Skydropx: Thoroughly understand Skydropx's product, target market, and mission. Prepare thoughtful questions about their user base, product roadmap, and research processes.

⚠️ 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.