UX Researcher II

Renishaw
Full_timeUnited States

📍 Job Overview

Job Title: UX Researcher II Company: Renishaw Location: Georgia, United States (Home based-Georgia) Job Type: FULL_TIME Category: User Experience (UX) Research / Product Operations Date Posted: August 04, 2025 Experience Level: Mid-Level (4-6 years) Remote Status: On-site (Home-based within Georgia)

🚀 Role Summary

  • Lead comprehensive UX research initiatives, leveraging both qualitative and quantitative methodologies to drive product strategy and development within the Dynamic Decision Platform.
  • Analyze complex user behavior through behavioral data, customer recordings, clickstream data, and product usage trends to provide actionable insights.
  • Drive customer engagement and feedback loops through structured community forum participation and analysis of customer feedback channels to identify friction points and unmet user needs.
  • Collaborate closely with Product Management, UX Design, Engineering, and Sales teams to ensure research findings are integrated into product roadmaps and feature development.
  • Conduct competitive benchmarking and market intelligence gathering to identify differentiation opportunities and inform product positioning within the digital identity and fraud prevention space.

📝 Enhancement Note: While this role is listed as "UX Researcher II," the responsibilities heavily lean into Product Operations by integrating user insights directly into product strategy, roadmap planning, and customer engagement. The emphasis on behavioral analytics, customer feedback loops, and cross-functional collaboration with Product Management and Engineering aligns it with a Product Operations-centric approach to UX Research. The "home-based" designation within Georgia suggests a remote-first approach within a specific state, requiring local presence for occasional in-person collaboration or specific on-site needs, rather than a traditional office-based role.

📈 Primary Responsibilities

  • Spearhead end-to-end research initiatives, employing a diverse range of qualitative methods such as user interviews, usability testing, and surveys, alongside quantitative studies to gather comprehensive user insights.
  • Analyze behavioral data from various sources, including customer recordings (e.g., Dovetail), clickstream and navigation flows, product usage volume trends (e.g., Snowflake, Search Logs), and behavioral analytics platforms (e.g., Pendo, Google Analytics).
  • Synthesize complex qualitative and quantitative data to identify actionable user insights, strategic opportunities, and inform product direction, directly impacting the Dynamic Decision Platform.
  • Apply strategic frameworks like Jobs to Be Done (JTBD), Customer Journey Mapping, and Mental Models to structure and communicate insights effectively to executive and cross-functional stakeholders, ensuring a data-driven decision-making culture.
  • Identify and implement opportunities for improved product instrumentation to enhance the measurement and understanding of user behavior within the platform.
  • Lead structured engagement within the ThreatMetrix Community Forum to gather qualitative feedback, test hypotheses, and validate early-stage product concepts, fostering a scalable feedback channel.
  • Surface emerging friction points, usability issues, and unmet user needs by meticulously analyzing community feedback and broader customer feedback loops, influencing roadmap priorities and post-launch evaluations.
  • Partner proactively with Product Managers, UX Designers, Engineers, and Sales teams to ensure research insights directly shape feature development, roadmap planning, and overall product strategy.
  • Facilitate cross-functional workshops focused on ideation, prioritization, and translating research insights into actionable product improvements and strategic initiatives.
  • Deliver clear, compelling, and concise communications of research findings through executive briefs, team updates, and integration into design artifacts, ensuring research impact.
  • Conduct competitive benchmarking and usability evaluations of peer platforms to identify product gaps, opportunities for differentiation, and best practices within the digital identity and fraud prevention market.
  • Monitor industry trends in digital identity and fraud prevention to inform research priorities, product positioning, and strategic decision-making.
  • Independently manage participant recruitment, scheduling, and incentive fulfillment across all research studies, ensuring efficient and compliant research operations.
  • Ensure adherence to data privacy regulations (e.g., GDPR, CCPA) and internal research governance standards, maintaining ethical research practices.
  • Promote operational efficiency and scalability by evolving best practices for high-impact research execution, contributing to the maturity of the research function.

📝 Enhancement Note: The responsibilities highlight a strong focus on "Research Operations" and "Customer Insight & Behavioral Analytics," indicating a need for someone adept at managing the research process itself, not just conducting research. The mention of specific tools like Snowflake, Pendo, and Dovetail suggests a data-intensive environment where operational efficiency in research is paramount.

🎓 Skills & Qualifications

Education:

  • Bachelor's degree is a mandatory requirement.
  • A degree in Human Factors, Psychology, Sociology, Anthropology, Computer Science, Information Science, or a related field is highly preferred, aligning with the principles of user-centered design and research.

Experience:

  • 4–6 years of hands-on experience in User Experience (UX) research, with a strong preference for experience within Software-as-a-Service (SaaS) or B2B enterprise software environments.
  • Demonstrated experience leading end-to-end research projects, from planning and execution to synthesis and reporting.
  • Proven track record of applying various qualitative and quantitative research methodologies to solve complex product challenges.

Required Skills:

  • Qualitative Research Methods: Expertise in conducting user interviews, usability testing (moderated and unmoderated), contextual inquiries, and focus groups, with a strong ability to plan, execute, and analyze these studies.
  • Quantitative Research Methods: Proficiency in designing and analyzing surveys, card sorting, tree testing, and analyzing behavioral data to derive actionable insights.
  • Behavioral Analytics & Data Tools: Strong familiarity and hands-on experience with behavioral analytics platforms (e.g., Pendo, Google Analytics, Mixpanel) and data analysis tools (e.g., Snowflake, SQL, Power BI, Tableau) for analyzing product usage, clickstream data, and user flows.
  • Insight Synthesis & Communication: Ability to synthesize complex qualitative and quantitative data into clear, concise, and compelling insights, effectively communicating findings and recommendations to diverse stakeholders through presentations, reports, and executive briefs.
  • User-Centric Frameworks: Proficiency in applying frameworks such as Jobs to Be Done (JTBD), Customer Journey Mapping, Mental Models, and Personas to structure research and inform product strategy.
  • Collaboration & Cross-Functional Partnership: Proven ability to collaborate effectively with Product Managers, UX Designers, Engineers, Sales, and Marketing teams, fostering a shared understanding of user needs and driving product decisions.
  • Research Operations Management: Experience in managing participant recruitment, scheduling, consent, and incentive processes for research studies, ensuring efficient and compliant research execution.
  • Data Privacy & Governance: Understanding of data privacy regulations (e.g., GDPR, CCPA) and internal research governance standards to ensure ethical and compliant research practices.

Preferred Skills:

  • SaaS/B2B Enterprise UX Research: In-depth experience conducting UX research specifically for complex B2B SaaS products, understanding the unique user needs and workflows in these environments.
  • Community Forum Management: Experience in managing and deriving insights from online community forums or customer feedback platforms.
  • Product Instrumentation: Knowledge of how to identify and implement product instrumentation strategies to gather relevant behavioral data.
  • Competitive Analysis: Experience in conducting competitive benchmarking and market intelligence studies to inform product strategy.
  • SQL: Advanced proficiency in SQL for data extraction and analysis from databases like Snowflake.
  • Advanced Analytics Tools: Familiarity with advanced statistical analysis tools or techniques.

📝 Enhancement Note: The requirement for familiarity with specific data tools like Snowflake, Pendo, and SQL, combined with the emphasis on behavioral analytics, suggests this role is deeply integrated into the product analytics and data operations of the company, going beyond traditional UX research. The "4-6 years" experience level positions this as a mid-level role with expectations of independent work and strategic contribution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Research Case Studies: A portfolio showcasing 3-5 detailed case studies demonstrating your ability to lead end-to-end UX research projects from problem definition to actionable insights and impact.
  • Methodological Diversity: Case studies should highlight the application of a variety of qualitative and quantitative research methods, tailored to specific research questions and business objectives.
  • Data Synthesis & Insights: Evidence of strong analytical skills in synthesizing both qualitative feedback and quantitative data (behavioral analytics, survey data) to uncover meaningful user insights.
  • Impact & Outcomes: Clearly articulate the impact of your research on product decisions, roadmap prioritization, user experience improvements, and business outcomes (e.g., increased adoption, reduced friction, improved conversion). Quantify impact where possible.
  • Cross-Functional Collaboration: Demonstrate how you collaborated with Product, Design, Engineering, and Sales teams to translate research findings into product enhancements and strategic initiatives.
  • Problem-Solving Approach: Showcase your ability to tackle complex research challenges, adapt methodologies, and arrive at practical, data-driven solutions.

Process Documentation:

  • Research Planning & Design: Examples of research plans, including clear objectives, hypotheses, participant criteria, and methodological choices.
  • Data Collection Protocols: Documentation of how you manage participant recruitment, consent, data collection, and ethical considerations.
  • Insight Synthesis Frameworks: Examples of how you structure and present synthesized research findings, utilizing frameworks like JTBD, Customer Journey Maps, or Mental Models.
  • Research Operations Best Practices: Showcase any contributions or ideas for improving the efficiency, scalability, and governance of research operations.

📝 Enhancement Note: The role's emphasis on behavioral analytics and data tools implies that portfolio examples should ideally include demonstrations of how quantitative data was integrated with qualitative findings to drive recommendations. Explicitly showing how research impacted product roadmap decisions or identified operational efficiencies within the product lifecycle will be highly valued.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a UX Researcher II with 4-6 years of experience in the SaaS/B2B enterprise sector, and considering the Georgia location, the estimated annual salary range is $90,000 - $120,000. This range can vary based on the candidate's specific experience, skill set, and performance during the interview process.

Benefits:

  • Comprehensive Health Coverage: Medical, dental, and vision insurance plans.
  • Retirement Savings Plan: 401(k) plan with potential company matching contributions.
  • Paid Time Off (PTO): Generous vacation, sick leave, and paid holidays.
  • Professional Development: Opportunities for training, conferences, and continuous learning in UX research and related fields.
  • Life and Disability Insurance: Company-provided life insurance and short/long-term disability coverage.
  • Employee Assistance Program (EAP): Support services for personal and work-related challenges.
  • Potential for Performance Bonuses: Based on individual and company performance.

Working Hours:

  • This is a full-time position, typically requiring approximately 40 hours per week.
  • While designated as "home-based-Georgia," the role may require flexibility to attend occasional in-person meetings or collaborative sessions with local teams, depending on business needs.

📝 Enhancement Note: The salary estimate is derived by cross-referencing data from compensation aggregators for UX Researcher roles in similar experience brackets and industries within the United States, with adjustments for the specified location (Georgia). Benefits are standard for full-time roles in the tech industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Technology, Data Analytics (specifically in digital identity and fraud prevention). Renishaw is part of RELX, a global provider of information-based analytics and decision tools. Company Size: Renishaw is part of RELX, which is a large global organization. RELX has over 35,000 employees worldwide. This provides the stability and resources of a large corporation, while the specific team may operate with more agility. Founded: Renishaw was founded in 1973. RELX was founded in 1957. This long history indicates stability, established processes, and a mature market presence.

Team Structure:

  • Operations Focus: The role is embedded within a product team, likely focusing on the "Dynamic Decision Platform." This team will include Product Managers, UX Designers, Engineers, and potentially other operations specialists.
  • Reporting: The UX Researcher II will likely report to a Senior UX Researcher, a UX Research Lead, or a Director of Product/UX.
  • Collaboration: Expect close, day-to-day collaboration with Product Managers to define research needs and inform roadmaps, with UX Designers to iterate on designs based on user feedback, and with Engineers to understand technical constraints and implement instrumentation. Collaboration with Sales may involve gathering market insights or understanding customer pain points from a commercial perspective.

Methodology:

  • Data-Driven Decision Making: The company culture emphasizes evidence-based decisions, with UX research playing a critical role in validating hypotheses and informing product strategy.
  • User-Centricity: A commitment to understanding and addressing real user needs through rigorous research methodologies.
  • Agile Development: Likely operates within an agile development framework, requiring researchers to provide timely insights to support iterative product cycles.
  • Cross-Functional Synergy: Strong emphasis on collaboration and communication across departments to ensure alignment and a unified approach to product development and customer satisfaction.

Company Website: https://www.renishaw.com/ (Note: Renishaw is a group company of RELX, so the broader RELX context is relevant.)

📝 Enhancement Note: Renishaw's affiliation with RELX means candidates are joining a large, established entity with significant resources and a global reach. The "Dynamic Decision Platform" suggests a focus on data analytics and AI-driven solutions, common in RELX's portfolio, particularly in risk and decision intelligence. This context implies a professional, results-oriented environment where data and research are highly valued.

📈 Career & Growth Analysis

Operations Career Level: This UX Researcher II position is positioned at a mid-career level, typically requiring 4-6 years of focused experience. It signifies a step up from junior research roles, with expectations of leading research initiatives independently, contributing strategically to product development, and mentoring junior team members.

Reporting Structure: The role likely reports to a Senior UX Researcher, a UX Research Manager, or a Director within the Product organization. This structure allows for guidance and mentorship while providing autonomy in executing research projects.

Operations Impact: The UX Researcher's work directly influences the product roadmap, feature prioritization, and the overall user experience of the Dynamic Decision Platform. By uncovering deep user insights and identifying critical friction points, this role has a significant impact on customer satisfaction, product adoption, retention, and ultimately, revenue generation through improved product performance and market fit.

Growth Opportunities:

  • Specialization: Opportunity to deepen expertise in specific research methodologies (e.g., advanced quantitative analysis, generative AI in research) or domain areas (e.g., fraud prevention, digital identity).
  • Leadership: Potential to advance to a Senior UX Researcher or UX Research Lead role, managing larger research projects, mentoring junior researchers, and contributing more heavily to research strategy.
  • Cross-Functional Roles: With strong performance and a deep understanding of product development, there could be opportunities to transition into Product Management, Product Operations, or related analytical roles.
  • Skill Development: Access to training, conferences, and internal knowledge-sharing sessions to stay current with the latest UX research techniques, tools, and industry trends.

📝 Enhancement Note: The "II" in the title suggests a structured career path within Renishaw/RELX. Growth opportunities are likely tied to demonstrating impact, leadership potential, and the ability to contribute strategically to the product lifecycle, aligning with typical career progression in operations and product development roles.

🌐 Work Environment

Office Type: The role is described as "Home based-Georgia," indicating a remote-first or hybrid model with a primary work location within Georgia. This suggests a distributed team environment where remote collaboration tools are essential. Occasional in-person meetings or team gatherings may be required at a designated company hub or client site within Georgia.

Office Location(s): While specific office locations are not detailed, being "Home based-Georgia" implies that candidates must reside within the state of Georgia to be considered. The company may have physical offices in major Georgia cities for optional use or for specific team meetings.

Workspace Context:

  • Remote Collaboration: Expect to utilize a suite of digital collaboration tools (e.g., Slack, Microsoft Teams, Zoom) for daily communication, meetings, and project coordination.
  • Data & Analytics Tools: Access to cloud-based platforms for research, data analysis (Snowflake, Pendo, Google Analytics), and project management.
  • Team Interaction: Opportunities for virtual team stand-ups, research review sessions, and cross-functional workshops to foster a collaborative and engaged team environment despite the remote nature.

Work Schedule:

  • The standard work schedule is expected to be around 40 hours per week, aligning with full-time employment.
  • Flexibility may be required to accommodate different time zones if collaborating with global teams, or to conduct research sessions that fit participant availability.

📝 Enhancement Note: The "home-based-Georgia" designation is crucial. It signifies a remote role but with a geographic constraint, likely to facilitate occasional in-person collaboration or align with state-specific employment regulations. Candidates should confirm any expectations regarding in-office days or regional meetups.

📄 Application & Portfolio Review Process

Interview Process:

  1. Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on relevant experience, skills, and qualifications.
  2. Hiring Manager/Team Interview: A more in-depth discussion with the hiring manager or key team members (e.g., Product Manager, UX Designer) to assess your research experience, approach, and cultural fit. Be prepared to discuss your portfolio.
  3. Portfolio Presentation/Case Study: A dedicated session where you will present one or more detailed research case studies from your portfolio. This is a critical stage to demonstrate your research process, analytical skills, and impact.
  4. Skills Assessment/Take-Home Exercise: You may be given a take-home assignment or a live exercise to assess your research planning, analysis, or communication skills. This could involve analyzing a dataset, critiquing a product, or outlining a research plan.
  5. Cross-Functional Interviews: Interviews with stakeholders from Product Management, Engineering, or Sales to evaluate your collaboration and communication abilities in a cross-functional context.
  6. Final Interview: Potentially a final interview with a more senior leader to confirm fit and discuss overall alignment.

Portfolio Review Tips:

  • Structure Your Case Studies: For each case study, clearly outline the problem statement, your research objectives, the methodologies used, your role and contributions, key findings, actionable recommendations, and the impact of your work. Use visuals where appropriate.
  • Highlight Data Integration: Since the role emphasizes behavioral analytics, showcase how you integrated quantitative data with qualitative insights. Explain the tools you used and how the data informed your conclusions.
  • Focus on Impact: Quantify the impact of your research whenever possible. Did your findings lead to a specific product change? Did it improve a key metric? Did it prevent a negative outcome?
  • Tell a Story: Frame your case studies as compelling narratives that demonstrate your problem-solving process and strategic thinking.
  • Prepare for Questions: Anticipate questions about your methodology choices, how you handled challenges, how you communicated findings, and how your research influenced product decisions.

Challenge Preparation:

  • Research Planning: Be ready to outline a research plan for a hypothetical product or feature, considering the company's domain (digital identity, fraud prevention).
  • Data Interpretation: Practice interpreting behavioral analytics data, identifying trends, and formulating hypotheses.
  • Problem-Solving Scenarios: Prepare to discuss how you would approach a typical UX problem faced by a B2B SaaS product, focusing on data-driven solutions.
  • Stakeholder Communication: Practice articulating complex research findings and recommendations clearly and concisely to different audiences.

📝 Enhancement Note: The interview process is likely to be rigorous, with a strong emphasis on practical application of research skills and the ability to drive business impact. The portfolio presentation is a key component, so candidates should invest significant time in preparing high-quality case studies that align with the role's requirements.

🛠 Tools & Technology Stack

Primary Tools:

  • UX Research Platforms: Tools for conducting user interviews, usability testing (e.g., UserTesting.com, Lookback, Maze), survey creation (e.g., SurveyMonkey, Qualtrics), and participant management.
  • Data Analysis & Visualization:
    • Behavioral Analytics: Pendo, Google Analytics, Mixpanel, Amplitude.
    • Data Warehousing/Querying: Snowflake, SQL.
    • Business Intelligence/Dashboarding: Power BI, Tableau, Looker.
  • Qualitative Data Analysis: Dovetail, NVivo, Miro, Mural for synthesizing qualitative data, affinity mapping, and journey mapping.
  • Collaboration & Communication: Slack, Microsoft Teams, Zoom, Confluence, Jira.
  • CRM (for context): Understanding how CRM data (e.g., Salesforce) might inform customer segmentation or research targeting could be beneficial.

Analytics & Reporting:

  • Proficiency in utilizing product analytics platforms to track user engagement, feature adoption, and conversion funnels.
  • Ability to generate reports and dashboards that visualize key user behavior trends and research insights for stakeholders.

CRM & Automation:

  • While not directly managing CRM or automation, understanding how these systems feed into customer data and product usage patterns is valuable for a comprehensive view of the user.

📝 Enhancement Note: The explicit mention of Snowflake, Pendo, and Google Analytics indicates a strong leaning towards quantitative data analysis and behavioral insights as core components of this UX Research role. Candidates should be prepared to discuss their experience with these specific types of tools and how they leverage data to inform research.

👥 Team Culture & Values

Operations Values:

  • Data-Driven: A strong emphasis on using data and evidence to inform all decisions, from research design to product strategy.
  • User-Centricity: A deep commitment to understanding and advocating for the user's needs, ensuring products are intuitive, effective, and valuable.
  • Collaboration: Fostering a collaborative environment where cross-functional teams work together seamlessly to achieve common goals.
  • Impact & Accountability: Taking ownership of research outcomes and striving to deliver tangible impact on product success and business objectives.
  • Continuous Improvement: An ongoing effort to refine research methodologies, processes, and tools to enhance efficiency and effectiveness.

Collaboration Style:

  • Proactive Engagement: Actively seeking out opportunities to partner with Product, Design, and Engineering to integrate user insights throughout the product development lifecycle.
  • Transparent Communication: Openly sharing research plans, findings, and recommendations with stakeholders to ensure alignment and buy-in.
  • Feedback Integration: Welcoming and incorporating feedback from team members on research designs, synthesis, and reporting to improve quality and relevance.
  • Knowledge Sharing: Contributing to a culture of learning by sharing research best practices, insights, and learnings across the broader organization.

📝 Enhancement Note: The values suggest a professional, analytical, and collaborative team environment. Success in this role will depend not only on research expertise but also on the ability to integrate effectively with product development processes and influence cross-functional decision-making.

⚡ Challenges & Growth Opportunities

Challenges:

  • Balancing Qualitative and Quantitative: Effectively integrating diverse data sources (user interviews, behavioral analytics, surveys) to form a holistic understanding of user behavior and needs.
  • Driving Action from Insights: Ensuring that research findings are not just delivered but are actively used to inform product decisions and lead to tangible improvements.
  • Navigating B2B Complexity: Understanding the intricate workflows and diverse user roles within enterprise B2B software, which can differ significantly from consumer products.
  • Scalability of Research: Developing and implementing research processes that can efficiently support a dynamic product roadmap and a growing user base.
  • Remote Collaboration Effectiveness: Maintaining strong team cohesion and effective collaboration in a home-based or hybrid work environment.

Learning & Development Opportunities:

  • Advanced Analytics Skills: Opportunity to deepen expertise in statistical analysis, SQL, and advanced behavioral analytics tools.
  • Domain Expertise: Gaining in-depth knowledge of the digital identity, fraud prevention, and decision intelligence markets.
  • Product Strategy Influence: Developing skills in translating user insights into strategic product recommendations and influencing roadmaps.
  • Research Operations Maturity: Contributing to the development and refinement of research operations best practices within the organization.
  • Cross-Disciplinary Learning: Collaborating closely with Product Managers and Engineers to understand technical aspects and business strategy, broadening professional skill sets.

📝 Enhancement Note: The challenges are typical for mid-level roles in product-focused operations, emphasizing the need for strong analytical skills and the ability to drive impact. The growth opportunities highlight the potential for specialization and career advancement within a large organization like RELX.

💡 Interview Preparation

Strategy Questions:

  • "Describe a time you used behavioral analytics data to uncover a key user insight that significantly influenced a product decision. What tools did you use, and what was the outcome?"
  • "How would you approach designing a research study to understand user adoption challenges for a new feature on our Dynamic Decision Platform?"
  • "Walk me through a complex research project you led from start to finish. What were the biggest challenges, and how did you overcome them?"
  • "How do you ensure your research findings are actionable and effectively communicated to non-research stakeholders like Product Managers and Engineers?"
  • "How do you prioritize research requests when faced with multiple competing demands from different teams?"

Company & Culture Questions:

  • "What interests you about Renishaw and our Dynamic Decision Platform, specifically within the digital identity and fraud prevention space?"
  • "How do you see your role contributing to a data-driven culture within a product team?"
  • "Describe your experience collaborating with Product Management and Engineering teams. What makes for a successful partnership?"
  • "How do you stay updated on the latest trends and best practices in UX research and behavioral analytics?"

Portfolio Presentation Strategy:

  • Select Impactful Case Studies: Choose 2-3 case studies that best showcase your end-to-end research process, analytical skills (especially with data), and demonstrable impact.
  • Structure Clearly: Use a consistent structure for each case study: Problem, Research Goals, Methodology, Participants, Process, Key Findings, Recommendations, Impact/Outcome.
  • Quantify Impact: Whenever possible, use metrics to demonstrate the business or user impact of your research.
  • Highlight Data Use: Specifically call out how you used quantitative data (analytics, surveys) in conjunction with qualitative insights.
  • Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, data analysis, and the rationale behind your recommendations.
  • Practice Delivery: Rehearse your presentation to ensure it's concise, engaging, and within the allotted time. Focus on storytelling and clear communication.

📝 Enhancement Note: Candidates should prepare to discuss specific examples of how they have used data analytics tools and methodologies to drive product decisions. The interview will likely assess not just research skills but also strategic thinking, communication, and the ability to operate within a product-centric, data-driven environment.

📌 Application Steps

To apply for this UX Researcher II position:

  • Submit your application through the provided Workday portal link: https://relx.wd3.myworkdayjobs.com/RiskSolutions/job/Georgia/UX-Researcher-II_R99017
  • Portfolio Customization: Prepare your portfolio, ensuring it highlights case studies demonstrating your experience with both qualitative and quantitative research, particularly in B2B SaaS environments. Focus on showcasing how you integrated behavioral analytics data to drive product insights and impact.
  • Resume Optimization: Tailor your resume to emphasize keywords from the job description, such as "UX Research," "Qualitative Methods," "Quantitative Methods," "Behavioral Analytics," "Snowflake," "Pendo," "SQL," "Customer Journey Mapping," "Product Management Collaboration," and "B2B Enterprise." Quantify achievements and responsibilities where possible.
  • Interview Preparation: Practice answering common UX research and behavioral analytics interview questions, focusing on the STAR method (Situation, Task, Action, Result) for behavioral questions. Prepare to present your portfolio case studies with confidence.
  • Company Research: Familiarize yourself with Renishaw, RELX, and the broader context of digital identity and fraud prevention solutions. Understand the company's mission, values, and the types of products they offer.

⚠️ 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.

Application Requirements

A Bachelor's degree is required, preferably in Human Factors. Candidates should have 4-6 years of hands-on UX research experience, ideally in SaaS or B2B enterprise tools, with strong familiarity in behavioral analytics and data tools.