UX Researcher
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Poland RemoteFull-TimeMiddle
Salary3500 - 4400 EUR per month
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Job Details
- Languages
- Russian, English
- Required Skills
- Tableau
Requirements
- Proven experience running research end-to-end with high ownership
- Strong methodological toolkit and judgment to pick the right method for the question, given business goals, timelines, and uncertainty, and explain trade-offs clearly
- Experience working across both B2C and B2B products and audiences
- Fluent English — all participants are English-speaking; you moderate and present in English
- Ability to work with analytics: read dashboards, spot anomalies/drop-offs, form hypotheses, and validate them via research
- Regularly collect input from Sales, CS, Support, Marketing, Analytics and turn it into testable research questions
- High research quality bar: structured methodology, and ethical practice
- Use recruiting platforms and handle logistics yourself: access, scheduling, confirmations, tool setup, etc.
- Use AI tools to speed up ops and synthesis (guides, notes, tagging/themes, survey drafts, summaries) while keeping human judgment and methodological rigor where it matters
- Understand core marketing terms and how they affect research and insights
- Run a “research radar” across internal learnings, market/competitor moves, and high-signal UX/product sources, then share regular updates
- Bring exceptional empathy and care for people: approach participants with respect, sensitivity, and high ethical standards
Responsibilities
- Take a research initiative from the quarterly plan and run it end-to-end: intake brief → write methodology → conduct research → analyse → synthesize → present → push actions
- Choose the right method: interviews, usability tests, concept tests, surveys, desk research, competitive scans or others — based on uncertainty level, business goals, and timeline
- Set up the mechanics: access to tools/data, participant scheduling and confirmations, session logistics, note-taking, recording, and documentation — no hand-holding
- Be the cross-team “glue”: proactively collect hypotheses and context from Sales, Customer Success, Support, Marketing, Analytics, and turn them into testable research questions
- Stay close to product analytics: monitor dashboards and reports, work with analysts to spot anomalies/drop-offs, form hypotheses, and prioritize what to validate with research
- Produce outputs people can use immediately: key findings, decisions, trade-offs, risks, and clear recommendations, with supporting evidence (quotes, clips, metrics)
- Keep an internal pulse: regularly review existing research, past studies, competitor insights, and synthesize what’s already known before running something new
- Be the user best friend: ensure user needs and constraints are represented in product decisions – not just opinions
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