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Data Analyst

Peroptyx

HybridHybrid

Original Job Summary

About the Data Analyst Role

At Peroptyx, the Data Analyst role involves evaluating mapping data to provide ground truth for your town, city, or country. You will review mapping data for digital mapping applications and validate the accuracy of navigation routes.

Key Responsibilities

  • Verify business names and opening hours
  • Check route distances and accuracy
  • Use search engines and map applications effectively
  • Follow multiple instruction sets independently

Flexible Working Schedule

This role allows you to work up to 20 hours per week, with flexible scheduling including weekends and late evenings, all from your own home office.

Ideal Candidate

  • Fluent in English and Dutch
  • Strong research and analytical skills
  • Excellent local knowledge of the Netherlands
  • Understanding of geography and culture

Job Requirements

  • Resident in the Netherlands for at least 5 consecutive years
  • Pass an online open-book exam
  • Work a minimum of 10 to 20 hours per week
  • Familiarity with social media platforms
  • Independent work ethic

Benefits

  • Work up to 20 hours per week
  • Competitive rate of pay
  • Opportunity to develop research skills
  • No commuting required
  • Set your own working hours

Key skills/competency

Data Analysis, Mapping, Research, Validation, Analytical, Flexible, Digital, Geographic, Independent, Communication

How to Get Hired at Peroptyx

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analysis and mapping skills.
  • Research Peroptyx: Understand their mission and work culture.
  • Showcase local expertise: Emphasize Netherlands geographic knowledge.
  • Prepare for exams: Practice open-book exam techniques.

📝 Interview Preparation Advice

Technical Preparation

Review mapping software basics.
Practice data validation techniques.
Familiarize with online exam formats.
Enhance search engine usage skills.

Behavioral Questions

Describe handling independent work challenges.
Explain managing flexible schedule issues.
Discuss collaborating remotely effectively.
Share problem-solving research experiences.