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Data Analyst

Peroptyx

HybridHybrid

Original Job Summary

About the Data Analyst Role

For thousands of years, maps have provided humans with the knowledge they need to make decisions. At Peroptyx, as a Data Analyst, you will review mapping data for digital mapping applications. You will validate navigation routes, verify business information, and ensure distances are accurate.

Key Responsibilities

  • Verify accuracy of business names and opening hours.
  • Ensure correct distances from start to destination.
  • Validate mapping data to improve user navigation.
  • Perform online open-book exams to confirm understanding.
  • Work independently with diverse instructions.

Benefits

  • Work up to 20 hours per week.
  • Competitive rate of pay.
  • Flexible schedule from your home office.
  • Enhance research and analytical skills.
  • No long commute.

Ideal Candidate

The ideal candidate is fluent in English, has excellent research skills, strong local knowledge, and a good understanding of the geography and culture of Canada. You should possess an analytical mindset and be comfortable with using search engines, map applications, and social media platforms.

Job Requirements

  • Must be living in Canada for a minimum of 5 consecutive years.
  • Must pass an online open-book exam.
  • Willing to work 10-20 hours per week.
  • Good working knowledge of search engines and map applications.
  • Ability to learn and apply multiple instructions independently.

Key skills/competency

  • Data Analysis
  • Mapping
  • Research
  • Analytical
  • Validation
  • Navigation
  • Flexibility
  • Attention to detail
  • Online Testing
  • Independent Work

How to Get Hired at Peroptyx

🎯 Tips for Getting Hired

  • Research Peroptyx's culture: Learn about their digital mapping goals.
  • Customize your resume: Highlight research and analysis skills.
  • Prepare for assessment: Review online exam content.
  • Show local expertise: Emphasize your knowledge of Canada.

📝 Interview Preparation Advice

Technical Preparation

Review mapping and GIS applications.
Practice data validation exercises.
Study online exam sample questions.
Refresh basic analytics tools usage.

Behavioral Questions

Describe a challenging research scenario.
Explain independent work strategies.
Discuss time management for remote work.
Detail how you handle feedback.