Data Analyst
@ Peroptyx

Hybrid
CA$50,000
Hybrid
Contractor
Posted 23 days ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXXX***** @peroptyx.com
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Job Details

Job Overview

At Peroptyx, our Data Analyst role involves evaluating digital mapping data and ensuring navigation accuracy for local areas. Your research will validate business details, distances, and improve user experiences through reliable data.

Key Responsibilities

  • Review and validate mapping data for accuracy.
  • Verify business names, opening hours, and route distances.
  • Utilize search engines, map applications, and social media for data collection.
  • Ensure independent completion of assigned tasks.

Benefits & Working Conditions

This role offers the flexibility to work up to 20 hours per week from home. It is ideal for students, retirees, part-time professionals, or work-from-home parents looking for flexible scheduling and a competitive rate of pay.

Ideal Candidate Profile

  • Fluent in English with excellent research skills.
  • Strong local knowledge of Canada and its geography.
  • Analytical and capable of understanding varied instructions.
  • Must have lived in Canada for a minimum of 5 consecutive years.
  • Must be ready to pass an online open-book exam.

Key skills/competency

  • Mapping
  • Data Analysis
  • Research
  • Validation
  • Navigation
  • Digital Maps
  • Attention to Detail
  • Geography
  • Analytical
  • Flexible

How to Get Hired at Peroptyx

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight mapping and research experiences.
  • Show local knowledge: Emphasize Canadian geography expertise.
  • Prepare for tests: Review online exam materials thoroughly.
  • Be adaptable: Demonstrate independent work skills.

📝 Interview Preparation Advice

Technical Preparation

Review mapping applications basics.
Practice data validation tasks.
Familiarize with online research tools.
Test navigational route accuracy.

Behavioral Questions

Describe handling conflicting instructions.
Explain independent task management.
Discuss adaptability to flexible scheduling.
Illustrate problem-solving in data issues.

Frequently Asked Questions