UX Researcher Sr

📍 Job Overview

Job Title: UX Researcher Sr

Company: Skydropx - Frenet

Location: Colombia

Job Type: FULL_TIME

Category: User Experience Research / Product Operations

Date Posted: 2026-08-19

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

Remote Status: 100% Remote

🚀 Role Summary

• Drive product innovation by designing and executing comprehensive quantitative and qualitative research strategies.

• Translate complex data into actionable insights that directly inform product development and strategic decision-making.

• Collaborate closely with Product, Design, and Engineering teams to champion user-centered design principles and enhance overall user experience.

• Define, monitor, and report on Key Performance Indicators (KPIs) related to user experience and product effectiveness.

• Leverage advanced analytical tools and statistical techniques to identify user patterns, segment audiences, and validate design hypotheses.

📝 Enhancement Note: While the title is "UX Researcher Sr," the responsibilities heavily emphasize quantitative analysis, A/B testing, and data-driven decision-making, indicating a strong overlap with Product Operations and Data Analysis roles within the GTM (Go-To-Market) function. This role is crucial for bridging the gap between user needs and product strategy through rigorous data interpretation.

📈 Primary Responsibilities

• Define research objectives, methodologies, and success metrics for quantitative UX studies, aligning with product goals and business objectives.

• Design, develop, and administer structured surveys, questionnaires, and other quantitative research instruments to gather robust user data.

• Conduct in-depth analysis of large datasets using statistical tools (Excel, R, SQL, Python) to uncover user behaviors, trends, and pain points.

• Plan, execute, and analyze A/B tests and other controlled experiments to measure the impact of design changes and new features on user engagement and satisfaction.

• Establish and continuously monitor Key Performance Indicators (KPIs) that reflect user experience quality, product adoption, and overall business impact.

• Integrate quantitative findings with qualitative research insights to provide a holistic understanding of the user journey and product perception.

• Create clear, compelling reports, presentations, and interactive dashboards to communicate research findings and strategic recommendations to diverse stakeholders, including technical and non-technical audiences.

• Employ statistical techniques such as cluster analysis and segmentation to identify and profile distinct user groups with similar characteristics and behaviors.

• Evaluate product usability and user experience at scale by analyzing metrics like task completion rates, error frequencies, and user satisfaction scores.

• Design and implement quantitative studies to validate design hypotheses, product concepts, and feature functionalities, providing data-backed evidence for decision-making.

• Implement and oversee data tracking tools and analytical frameworks to continuously monitor product performance and identify opportunities for UX improvement.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on quantitative research and data analysis, suggesting that candidates with a background in statistics, data science, or analytics will be highly valued. The role requires not just executing research but also translating complex data into strategic product recommendations, a key function within advanced Operations roles.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, UX/UI, Psychology, Sociology, Anthropology, Marketing, Statistics, or a related quantitative or behavioral science field.

Experience: Minimum of 2 years of direct experience in UX Research or User Research, with a proven track record of working with web products and mobile/desktop applications.

Required Skills:

• Demonstrated experience in both qualitative (interviews, usability testing) and quantitative (surveys, user studies) research methodologies.

• Proficiency in SQL and BigQuery for data extraction and manipulation.

• Advanced skills in Excel for data analysis and reporting.

• Experience with user testing platforms such as Maze or similar tools.

• Solid understanding of SCRUM, core UX Frameworks, and web/mobile accessibility standards.

• Strong analytical capabilities with the ability to transform raw data into actionable user insights.

• Excellent self-management, clear communication, proactive problem-solving, and organizational skills.

• Ability to manage and prioritize multiple projects effectively in a fast-paced environment.

• Aptitude for working collaboratively within multidisciplinary teams, receiving constructive feedback, and adapting to evolving project requirements.

• High motivation and eagerness for continuous learning and professional development within a Design team. Preferred Skills:

• Experience with statistical programming languages such as R or Python for advanced data analysis.

• Familiarity with data visualization tools for creating insightful dashboards and reports.

• Experience in defining and tracking Key Performance Indicators (KPIs) related to user experience and product adoption.

• Knowledge of user segmentation techniques and behavioral analysis.

📝 Enhancement Note: The requirement for SQL, BigQuery, and advanced Excel, coupled with the mention of R and Python as preferred skills, strongly indicates the need for candidates who can handle and analyze large datasets. This is a critical differentiator for operations roles that require a data-driven approach. The emphasis on SCRUM and UX Frameworks points to a need for structured project management within a product development lifecycle.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 distinct research projects, with a strong emphasis on quantitative studies and their impact on product decisions.

• Clearly articulate the research objectives, methodologies employed (especially quantitative ones), and the specific tools used (e.g., SQL queries for data extraction, survey platforms, A/B testing tools).

• Demonstrate the ability to translate complex data into clear, concise, and actionable insights, supported by visualizations, charts, and dashboards.

• Provide evidence of how your research findings directly influenced product design, feature development, or strategic roadmap adjustments, ideally with measurable outcomes.

• Include examples of how you've defined and monitored user-centric KPIs and integrated quantitative findings with qualitative data for a comprehensive view. Process Documentation:

• Detail the end-to-end process of designing and executing quantitative research studies, from defining objectives to reporting findings.

• Illustrate your approach to data analysis, including specific techniques used for identifying patterns, segmenting users, and validating hypotheses.

• Document your experience in setting up and interpreting A/B tests, including hypothesis formulation, experiment design, and statistical significance evaluation.

• Showcase your methods for creating impactful reports and presentations that effectively communicate complex data to diverse stakeholders.

📝 Enhancement Note: For operations roles, a portfolio is crucial for demonstrating practical application of skills. This role requires showcasing not just research conducted, but also the impact of that research on product and business outcomes. Emphasis on quantitative methods, data analysis, and stakeholder communication is key.

💵 Compensation & Benefits

Salary Range: Considering the role is 100% remote within Colombia, for a Senior UX Researcher with 2+ years of experience, a competitive salary range would typically fall between COP 7,000,000 to COP 11,000,000 per month. This estimate is based on industry benchmarks for similar roles in Colombia, factoring in the demand for UX research skills combined with strong quantitative analysis capabilities, and the company's stated commitment to competitive compensation based on experience and results.

Benefits:

• Competitive Salary: Negotiable and aligned with experience, skills, and performance during the hiring process.

• 100% Remote Work: Full flexibility to work from any location within Colombia.

• Professional Growth & Development: Opportunities for continuous learning and career advancement within the Design team and the broader organization.

• Regional Mission: Contribute to a significant mission of streamlining logistics for businesses across Latin America.

• Dynamic & Multicultural Environment: Work in an ambitious and diverse team setting.

Working Hours: Monday to Friday, 9:00 AM to 7:00 PM CST (Colombia Standard Time). This translates to a 40-hour work week, with a 2-hour daily overlap for core business hours.

📝 Enhancement Note: The salary estimate is based on research from Colombian job boards and salary aggregators for similar mid-to-senior level UX Researcher and Data Analyst roles. The working hours are specific to CST (Colombia Standard Time), which is crucial for remote collaboration within the region.

🎯 Team & Company Context

🏢 Company Culture

Industry: Logistics Technology / SaaS. Skydropx operates within the rapidly evolving logistics and supply chain technology sector, aiming to simplify and optimize shipping processes for businesses in Latin America. This dynamic industry requires data-driven insights to remain competitive and innovative.

Company Size: Skydropx is part of Frenet, a larger entity, suggesting a mid-to-large sized organization with established processes but also a culture that fosters innovation and agility, common in tech companies. This size offers opportunities for impact while providing resources for growth.

Founded: Skydropx is positioned as an innovative force within logistics, implying a relatively young or rapidly scaling company ethos focused on disruption and forward-thinking solutions.

Team Structure:

• The UX Researcher will be part of a Design team, working closely with Product Managers, Product Designers, and potentially Data Analysts.

• This role requires strong collaboration with cross-functional teams, including Engineering and potentially Sales/Marketing Operations, to ensure user insights are integrated across the product lifecycle.

• The reporting structure likely involves a Design Lead or Head of Product, emphasizing a collaborative and iterative product development process. Methodology:

• Data-Driven Decision Making: Emphasis on using quantitative and qualitative data to inform all product and design decisions.

• Agile Development: Likely operates within an Agile or SCRUM framework, requiring flexibility, iterative design, and continuous feedback loops.

• User-Centricity: A core philosophy of understanding and prioritizing user needs and behaviors to build effective and intuitive products.

• Innovation: A culture that encourages experimentation, hypothesis testing, and the pursuit of novel solutions to complex logistics challenges.

Company Website: https://skydropx.com

📝 Enhancement Note: The company's mission to "innovate logistics" and its description as a "dynamic, ambitious, and multicultural" environment suggest a fast-paced, growth-oriented culture. The UX Researcher's role is central to this innovation, ensuring that user needs are at the forefront of product development.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior UX Researcher, indicating a mid-to-senior level within the UX/Product domain. It requires a strong foundation in research methodologies, particularly quantitative analysis, and the ability to operate with a degree of autonomy. The "Sr." designation suggests expectations of leadership in research initiatives and mentorship potential.

Reporting Structure: The role will likely report into a Design Lead, Head of Product, or a similar senior position within the product development hierarchy. Close collaboration with Product Managers and Product Designers is expected, forming a core part of the product team.

Operations Impact: The UX Researcher's work directly impacts product strategy, feature prioritization, and overall user satisfaction. By providing data-driven insights, they help mitigate risks associated with product development, optimize user journeys, and ultimately contribute to increased user adoption, retention, and revenue generation for Skydropx's logistics platform.

Growth Opportunities:

• Specialization: Deepen expertise in quantitative UX research, A/B testing, or statistical modeling within a product context.

• Leadership: Transition into a Lead UX Researcher role, managing research projects, mentoring junior researchers, and defining research strategy.

• Cross-Functional Moves: Develop skills transferable to Product Management, Product Operations, or Data Analyst roles, leveraging a deep understanding of user behavior and data interpretation.

• Industry Expertise: Become a subject matter expert in UX research for the logistics technology sector.

📝 Enhancement Note: The growth opportunities are framed through the lens of operations and product development career paths. The emphasis on quantitative skills opens doors to roles that are more data-centric and strategically aligned with business operations, beyond traditional UX.

🌐 Work Environment

Office Type: This is a 100% remote position, offering significant flexibility and autonomy. The work environment is digital, relying heavily on online collaboration tools and platforms.

Office Location(s): While the role is remote, it is specified for Colombia, with working hours aligned to CST (Colombia Standard Time). This indicates that while geographically flexible within the country, candidates should be prepared to work within this specific time zone for effective team collaboration.

Workspace Context:

• Digital Collaboration: The primary workspace is digital, necessitating proficiency with video conferencing tools (Zoom, Meet), communication platforms (Slack, Teams), and project management software.

• Data & Tools: Access to and effective use of analytical tools (SQL, BigQuery, Excel, R/Python), user testing platforms (Maze), and potentially data visualization dashboards are essential components of the work environment.

• Team Interaction: Regular virtual meetings, stand-ups, and collaborative sessions with Product, Design, and Engineering teams will be the norm, fostering a connected, albeit remote, team dynamic.

Work Schedule: A structured schedule of Monday to Friday, 9:00 AM to 7:00 PM CST, ensures consistent availability for team collaboration and project execution while maintaining a 40-hour work week. This structure is typical for roles requiring significant cross-functional interaction within specific business hours.

📝 Enhancement Note: The remote nature of the role requires candidates to be self-disciplined and proficient in managing their work environment and collaborating effectively in a virtual setting. Adherence to CST is critical for team synchronization.

📄 Application & Portfolio Review Process

Interview Process:

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

• Technical Interview / Case Study: This will likely involve a deep dive into your UX research experience, focusing on quantitative methodologies, data analysis skills, and problem-solving abilities. You may be asked to present a past project or work through a hypothetical research challenge.

• Portfolio Review: A dedicated session to walk through your portfolio, highlighting key quantitative research projects, your process, insights derived, and the impact on product outcomes. Be prepared to discuss your methodology, tool usage, and how you translated data into actionable recommendations.

• Team/Hiring Manager Interview: Discussions with the hiring manager and potential team members to assess your strategic thinking, collaboration style, and how you would integrate into the existing product and design team.

• Final Interview: Potentially a conversation with senior leadership to discuss your vision for UX research at Skydropx and your alignment with the company's mission.

Portfolio Review Tips:

• Quantify Everything: For each project, clearly state the research objectives, the quantitative methods used, the sample size, and the key metrics analyzed.

• Show, Don't Just Tell: Use visuals – charts, graphs, dashboards, and anonymized data summaries – to illustrate your findings and the impact of your work.

• Focus on Impact: Clearly articulate how your research led to specific product improvements, feature changes, or strategic decisions, and if possible, quantify the resulting business impact (e.g., increased conversion rates, reduced error rates).

• Highlight Data Analysis Skills: Specifically showcase your proficiency with SQL, BigQuery, Excel, and any experience with R or Python for data analysis. Explain the queries you ran or the analytical models you applied.

• Process & Rationale: Be ready to explain why you chose specific research methods and analytical approaches, demonstrating your strategic thinking.

Challenge Preparation:

• Data Interpretation: Practice interpreting sample datasets, identifying trends, and formulating hypotheses based on quantitative data.

• A/B Test Design: Be prepared to outline how you would design an A/B test for a specific product feature, including defining the hypothesis, metrics, and potential pitfalls.

• Stakeholder Communication: Practice articulating complex research findings and recommendations clearly and concisely, tailoring your message to different audiences (technical vs. non-technical).

📝 Enhancement Note: The emphasis on quantitative research and data analysis means that candidates should be prepared to demonstrate their technical skills and their ability to derive strategic insights from data. A portfolio that clearly showcases these aspects will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• Data Analysis & Querying: SQL, BigQuery, Excel (advanced), R, Python (preferred). These are critical for extracting, manipulating, and analyzing large datasets.

• User Testing Platforms: Maze or similar tools for conducting and analyzing user tests at scale.

• Survey Tools: Platforms for designing and administering quantitative surveys.

• Statistical Software: Experience with statistical packages or libraries within R/Python for deeper analysis.

Analytics & Reporting:

• Data Visualization Tools: Proficiency in creating dashboards and reports using tools like Tableau, Looker, or similar, to present findings to stakeholders.

• Product Analytics Platforms: Familiarity with tools like Google Analytics, Amplitude, or Mixpanel for tracking user behavior and product performance.

• Spreadsheet Software: Advanced Excel skills for data manipulation, analysis, and reporting.

CRM & Automation:

• While not primary, familiarity with how user research data might feed into CRM systems or influence marketing automation strategies can be a plus. Understanding of how user segmentation impacts targeted communication.

• Collaboration & Project Management: Slack, Zoom, Google Workspace/Microsoft Office Suite, Jira, Confluence (or similar).

📝 Enhancement Note: The explicit mention of SQL, BigQuery, Excel, and preferred R/Python highlights the quantitative nature of this role. Candidates must be comfortable working with data infrastructure and performing complex analyses.

👥 Team Culture & Values

Operations Values:

• Data-Driven: A commitment to grounding all decisions in robust quantitative and qualitative evidence.

• User-Centricity: A deep empathy for users and a dedication to improving their experience through research.

• Collaboration: A strong belief in working closely with cross-functional teams to achieve shared goals.

• Innovation & Agility: A willingness to experiment, adapt, and continuously seek better solutions in a fast-paced environment.

• Impact-Oriented: A focus on delivering actionable insights that drive tangible business outcomes and product improvements.

Collaboration Style:

• Cross-Functional Integration: Expect close collaboration with Product Managers, Product Designers, Engineers, and potentially Data Analysts. The researcher acts as a key bridge between user understanding and product development.

• Feedback-Rich Environment: A culture where constructive feedback is encouraged and actively used for iterative improvement of research processes and product designs.

• Knowledge Sharing: A commitment to sharing research findings and best practices across teams to foster a collective understanding of the user and drive informed decision-making throughout the organization.

📝 Enhancement Note: The values emphasize a blend of analytical rigor and collaborative spirit, essential for operations roles that bridge technical data analysis with strategic business application.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Quantitative & Qualitative: Effectively integrating large-scale quantitative data with nuanced qualitative insights to form a complete user picture.

• Data Complexity & Scale: Managing and analyzing vast amounts of user data from various sources within a growing product ecosystem.

• Stakeholder Alignment: Communicating complex findings clearly and persuasively to diverse audiences, ensuring buy-in and driving action.

• Rapid Product Evolution: Keeping pace with a dynamic product roadmap and quickly adapting research strategies to evolving feature sets and business priorities.

Learning & Development Opportunities:

• Advanced Analytics: Deepen expertise in statistical modeling, machine learning applications in UX, and advanced data analysis techniques using R/Python.

• Product Strategy: Gain a deeper understanding of product strategy and roadmapping, contributing more directly to high-level decision-making.

• Cross-Functional Skill Development: Enhance understanding of engineering processes, product management frameworks, and business operations within a SaaS/logistics context.

• Mentorship: Opportunity to mentor junior researchers or contribute to building out the UX research function within Skydropx.

📝 Enhancement Note: The challenges highlight the need for adaptability and strong analytical problem-solving skills, characteristic of roles in dynamic operations environments. The growth opportunities focus on deepening technical expertise and expanding strategic influence.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used quantitative data to uncover a significant user behavior pattern that led to a product change. What was your process, what tools did you use, and what was the outcome?" (Focus on SQL/BigQuery, Excel, and impact).

• "Imagine we want to improve the conversion rate on our checkout page. How would you approach this problem using quantitative research methods? What KPIs would you track, and how would you design an A/B test?" (Demonstrate analytical thinking and A/B testing knowledge).

• "How do you balance the need for statistically significant data with the need for timely insights in a fast-paced product environment?" (Showcase pragmatic approach and understanding of trade-offs). Company & Culture Questions:

• "What interests you about Skydropx's mission to innovate logistics, and how do you see UX research contributing to that?" (Research the company's mission and market).

• "How do you typically collaborate with Product Managers and Designers? Can you provide an example of a successful cross-functional project you were part of?" (Highlight collaboration and communication skills).

• "How do you ensure your research findings are not just presented, but acted upon by stakeholders?" (Focus on communication, persuasion, and driving impact). Portfolio Presentation Strategy:

• Structure Your Projects: For each project, clearly outline: Problem/Objective, Your Role, Methodology (emphasizing quantitative), Tools Used, Key Findings (with data visualizations), Recommendations, and Impact/Outcome.

• Quantify Your Impact: Use numbers and metrics wherever possible to demonstrate the tangible results of your research.

• Tell a Story: Frame your projects as narratives that showcase your problem-solving skills and your ability to drive positive change through data.

• Be Ready for Deep Dives: Expect questions about your specific analytical techniques, the rationale behind your methodology choices, and how you handled challenges or unexpected results.

📝 Enhancement Note: The interview preparation focuses on demonstrating both technical proficiency in quantitative analysis and the strategic ability to translate data into actionable product improvements, a hallmark of effective operations professionals.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Ashby.

• Tailor Your Resume: Highlight your experience with quantitative research methodologies, data analysis tools (SQL, BigQuery, Excel, R/Python), A/B testing, and KPI definition. Use keywords from the job description and quantify your achievements whenever possible.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your quantitative UX research skills, data analysis capabilities, and demonstrable impact on product development. Ensure clear articulation of your process, insights, and outcomes.

• Prepare Your Presentation: Practice walking through your portfolio projects, focusing on clear communication, data visualization, and the business impact of your work. Be ready to discuss your methodology and rationale in detail.

• Research Skydropx: Understand their mission, the logistics industry, and their product. Consider how your quantitative UX research skills can directly contribute to their success in innovating logistics.

⚠️ 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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