Flying Bisons

UX Data Analyst

Flying Bisons

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇱 Poland

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Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Work with large datasets
  • Support decision-making processes
  • Collaborate with cross-functional teams to turn data into actionable insights

Requirements

  • Higher education degree or final-year student status in an analytical field such as Mathematics, Statistics, Economics, Computer Science, Data Analytics, Management, or Finance
  • Strong proficiency in spreadsheets (e.g. Excel, Google Sheets): formulas, pivot tables, and working with large datasets
  • Experience working with databases and writing queries in SQL
  • Knowledge of at least one data analysis language or tool (e.g. Python, R, statistical packages, or BI tools)
  • Interest in AI and modern AI models, with practical examples of using AI tools in daily analytical work (e.g. ChatGPT, Gemini)
  • Strong analytical thinking and the ability to logically interpret data and draw meaningful conclusions
  • Good communication skills and openness to new challenges
  • Willingness to learn new areas of Digital Analytics
  • Teamwork skills and readiness to collaborate with different departments across the organization
  • High level of accuracy, reliability, and attention to data quality and consistency
  • Strong motivation and eagerness to learn and develop professionally
  • Good command of written and spoken Polish and English (B2+/C1)
Benefits
  • B2B contract
  • Flexible work mode (remote, office, or hybrid)
  • Private healthcare (Enel-Med)
  • Co-financed Multisport card
  • Modern office (WeWork Mennica Legacy Tower)
  • Apple equipment
  • Regular team meetups and events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisspreadsheetsExcelGoogle SheetsSQLPythonRstatistical packagesBI toolsAI tools
Soft skills
analytical thinkingcommunication skillsteamworkopenness to new challengesattention to data qualityreliabilitymotivationeagerness to learncollaborationlogical interpretation