UX Researcher

DAT•Seattle, WA

9h•Hybrid

About The Position

DAT Freight & Analytics is looking for a mid-level UX Researcher to join our Product Design team working hybrid in Denver, Colorado OR Seattle, Washington. In this critical role, you’ll uncover customer needs, problems, and opportunities through rigorous user research — and help make DAT a more research-driven company. This is a hands-on, craft-forward research role for someone who leads with empathy and partners closely with designers, product managers, and cross-functional teams. You’ll work at both the strategic and tactical levels, shaping product decisions and championing the voice of the customer across the organization. You bring enough experience to run research independently, while remaining curious, collaborative, and eager to grow.

Requirements

3–5+ years of UX research experience in a product or agency environment.
Demonstrated experience planning and running user interviews, usability studies, and surveys; experience with additional methodologies is a plus.
Strong analytical and synthesis skills — able to find the signal in qualitative and quantitative data and translate it into clear, actionable recommendations.
Well-practiced communication and presentation skills; able to adapt findings for technical and non-technical audiences alike.
Ability to prioritize research requests across multiple product teams and proactively surface high-value research opportunities.
Proficiency with at least one modern research tool (e.g., UserTesting, Maze, Dovetail, Optimal Workshop, or equivalent).
A solid grounding in human-centered research methods.

Nice To Haves

Experience working in a B2B or SaaS product environment.
Familiarity with behavioral data, usage analytics, or data-informed research practices.
Exposure to SVPG principles and modern product team operating models — including continuous discovery and outcome-focused ways of working.
A degree in Psychology, Human-Computer Interaction, Human Factors, or a related field.
Experience collaborating closely with design systems or contributing to shared research repositories.
Background in freight, logistics, supply chain, or data-heavy product environments is a plus.

Responsibilities

Plan and Execute Research: Design and run qualitative and quantitative research studies — user interviews, usability tests, surveys, concept tests, ethnography and more — selecting the right methodology for each question.
Work at both strategic (generative, foundational) and tactical (evaluative, iterative) levels to support product discovery and delivery.
Conduct both moderated and unmoderated studies, in-person and remote, adapting your approach to team needs and research goals.
Proactively identify high-value research opportunities across multiple product spaces, even when not explicitly asked.
Synthesize and Share Insights: Analyze findings and synthesize them into clear, actionable insights — communicated in formats accessible to diverse audiences, from designers to executives.
Create compelling deliverables such as research reports, personas, journey maps, and highlight reels that bring the user’s perspective to life.
Incorporate behavioral data, usage analytics, industry insights, and other signals from DAT’s broader data and insights ecosystem to enrich and triangulate your research.
Present findings and recommendations confidently, adapting your communication style to fit the room.
Build Partnerships Across the Organization: Work closely with UX designers, product managers, and the Head of UX to integrate research into the product development process from discovery through delivery.
Build strong relationships with cross-functional partners, becoming a trusted resource for teams who want to understand their customers better.
Help foster a research-informed culture at DAT by sharing findings broadly, encouraging curiosity, and making it easy for others to engage with user insights.
Collaborate with fellow researchers and designers in team rituals (critiques, reviews, standups) that raise the collective quality of the team’s work.
Operate with a Product Mindset: Understand the goals behind the work; not just the research request.
Connect your studies to business outcomes and user needs.
Manage your own research projects from planning through readout with minimal supervision, communicating timelines and escalating blockers proactively.
Regularly use AI tools to improve the speed and quality of research work — applying them independently to tasks like transcript analysis, survey synthesis, and screener development while using sound judgment to ensure outputs remain accurate and unbiased.
Look for patterns and opportunities beyond individual requests; suggest improvements to team processes, templates, and research practices.